1,721,204 research outputs found
Safety of COVID-19 vaccines in patients with psoriasis undergoing therapy with anti-interleukin agents
Full text linkIntroduction: There is very limited kn3e safety of COVID-19 vaccines in patients with psoriasis who are being treated with biological agents. We present our experience in 369 patients with moderate-to-severe psoriasis undergoing therapy with anti-IL agents who were vaccinated against SARS-CoV-2. Areas covered: None of the 369 patients referred to any serious adverse event related to vaccination against COVID-19, while about one-third reported mild adverse events similar to those seen in the general population that were resolved within 48 hours. No patient discontinued biological therapy to receive a COVID-19 vaccine. Expert opinion: Our observations provide evidence that COVID-19 vaccines can be considered safe in patients with moderate-to-severe psoriasis who are receiving anti-IL therapy
Ocular complications in patients with psoriasis: Is dry eye associated with psoriasis?
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A design methodology for adaptive type-2 fuzzy controllers
No full textThe main objective of the study is to provide a valid and effective methodology for the design and development of adaptive type-2 fuzzy controllers (AT2FLCs). The methodology is based on an in depth analysis of the process dynamics and the use of an Adaptive Neuro Fuzzy Inference System (ANFIS) technique for the optimization of controllers. The application of the methodology is shown in the design and development of AT2FLCs for two biochemical processes characterized by uncertainty and time varying parameters. The simulation results show that the union of the ANFIS optimization method with the adaptive fuzzy algorithm operating on the output scaling factor, allows to obtain robust AT2FLCs, with fewer rules than traditional type-2 FLCs, that minimize the negative effects of all system parameter changes and achieve in all cases a very high control performance
Control of a Nonlinear Continuous Bioreactor with Bifurcation by a Type-2 Fuzzy Logic Controller
No full textThe object of this paper is the application of a type-2 fuzzy logic controller to a nonlinear system that
presents bifurcations. A bifurcation can cause instability in the system or can create new working conditions
which, although stable, are unacceptable. The only practical solution for an efficient control is
the use of high performance controllers that take into account the uncertainties of the process. A type-2
fuzzy logic controller is tested by simulation on a nonlinear bioreactor system that is characterized by a
transcritical bifurcation. Simulation results show the validity of the proposed controllers in preventing
the system from reaching bifurcation and instable or undesirable stable conditions
MDCT venography in patients with suspected pulmonary embolism: diagnostic impact of pelvic vein evaluation in thromboembolic disease detection
No full textStability analysis of type-2 fuzzy logic controllers
No full textThe application of the direct Lyapunov method to the stability analysis of systems controlled by type-2 fuzzy logic controllers (FLC) is presented. The method is an extension of a method proposed for type-1 fuzzy systems. It is usually applied to systems described by state equations and controlled by fuzzy controllers using state variables as inputs but has been extended to controllers that have the error and the integral of error of the controlled variable as inputs. The proposed method allows to modify the controller rule base so that the controlled system is stable in the operating range defined by the manipulative variable constraints. The method is applied to the stability analysis of a bioreactor and of a CSTR controlled by type-2 FLC
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