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Autoinflammation, as a relatively new field in clinical rheumatology, has gained an increasing importance in recent years. The number of identified entities and affected patients has gradually increased, and some of the involved pathways have already been identified. This progress allows a deeper understanding of closely linked diseases, namely, inflammasomopathies, interferonopathies, Relo-pathies, and proteasome associated syndromes. These insights have not only improved their classification but also helped to identify new treatment targets of pro-inflammatory cytokines, including IL-1ß, IL-6, interferon-, and TNF-alpha. Nevertheless, there is still a high medical need, especially in reliable outcome measures, for confirmation of data from controlled clinical trials and, finally, also for long-term experience from registers. This issue welcomes all types of papers on the broad spectrum of clinical characteristics, prognosis, pathophysiology, and treatment of autoinflammatory diseases. The goal of this Special Issue is to further raise awareness of autoinflammatory processes and to better separate them from well-established autoimmune diseases. It is clear that we have entered a new age in this complex field, linking rheumatology even closer to immunology.

gout --- febuxostat --- colchicine --- hepatotoxicity --- prophylaxis --- myositis --- inflammatory idiopathic myopathy --- dysphagia --- aspiration --- pneumonia --- immunoglobulin G4-related orbital disease (IgG4-ROD) --- orbital lymphoma (OL) --- computed tomography (CT) --- Hounsfield unit --- imaging --- autoinflammation --- arthritis --- CAPS --- FCAS --- MWS --- CINCA --- NOMID --- hearing loss --- urticarial-like rash --- autoinflammatory disease --- anti-IL-1 treatment --- rheumatoid arthritis --- synovitis --- neoplasms --- edema --- inflammation --- new genetic variant --- monogenic autoinflammatory syndrome --- diagnostic delay --- anakinra --- damage index --- genetic inheritance --- personalized therapy --- Interleukin-1 --- autoinflammatory diseases --- FMF --- coronavirus --- SARS-CoV-2 antibody response --- adult-onset Still’s disease --- autoinflammatory disorder --- systemic-onset juvenile idiopathic arthritis --- haemophagocytic lymphohistiocytosis --- macrophage activation syndrome --- IFN-γ --- JAK inhibitor --- proliferation --- DNA damage repair --- γH2AX --- PBMCs --- T lymphocytes --- proteasome --- autoimmune --- proteasome-associated autoinflammatory syndrome --- therapy --- IL-1 inhibitors --- NGS --- SURF --- spondyloarthritis --- human leukocyte antigen --- undifferentiated enthesitis and/or arthritis --- ASAS classification criteria --- clinical management --- canakinumab --- cytokines --- n/a --- adult-onset Still's disease

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The evolution and need for the preservation and maintenance of existing structures, recent or historical, has fostered research in the area of structural monitoring, translated into the development of new techniques, equipment and sensors. Early detection of damage and accurate assessment of structural safety requires monitoring systems, the data from which can be used to calibrate numerical models for structural analysis and to assess safety. Data are obtained under real-time conditions, considering a group of parameters related to structural properties, such as stresses, accelerations, deformations and displacements. The analysis of structural properties is particularly relevant when the structure is subjected to extreme events (earthquakes, wind, fire and explosions, among others) or repeated loads (road/rail/air traffic, vibrations induced by equipment and machines), since they affect the structural integrity and put the users at risk. In order to prevent the severe damage and eventual collapse of structures, and consequent human, material and economic losses, the implementation of monitoring systems becomes a valuable tool for today's society. Monitoring of structures is becoming increasingly important, not only as preventive action, but also due to actual economic and sustainability concerns, to ensure a safer and more comfortable built environment.

History of engineering & technology --- image-based measurement --- crack measurement --- shear cracks --- flexural cracks --- damage index --- nuclear power plant --- visual inspection --- photometric stereo --- 3D reconstruction --- rotating stall --- non-synchronous blade vibration --- blade tip timing --- centrifugal compressor --- distributed measurements --- fiber optic sensors --- scour --- soil-structure interaction --- winkler model --- equivalent length --- corrosion sensor --- oil and gas pipelines --- optical fibers --- Fiber Bragg Grating (FBG) --- distributed optical fiber strain sensing cable --- Brillouin scattering --- Rayleigh scattering --- strain sensing cable characterization --- elasto-plastic behavior --- strain sensitivity coefficients --- bridge damage detection --- fiber optic gyroscope --- deep learning --- convolutional neural network --- Fiber Bragg grating --- fiber optic sensors embedded in concrete --- strain measurement --- monitoring --- cracking --- weldable fiber optic sensors --- optical fiber sensors --- material extrusion --- hybrid processes --- temperature and strain monitoring --- similarity measure --- subway tunnel --- distributed vibration --- feature extraction --- autoencoder --- ultra-weak FBG --- hyperspectral imaging --- spectral indices --- random forest --- growth stage --- Fusarium head blight --- structural health monitoring --- load localization --- load estimation --- depth sensor --- artificial neural networks --- castigliano’s theorem --- crack detection --- crack opening --- distributed fiber optic sensors --- DIC --- UHPFRC --- testing --- SHM --- microcracking --- PAD --- environmental monitoring --- colorimetric detection --- water --- atmosphere

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The evolution and need for the preservation and maintenance of existing structures, recent or historical, has fostered research in the area of structural monitoring, translated into the development of new techniques, equipment and sensors. Early detection of damage and accurate assessment of structural safety requires monitoring systems, the data from which can be used to calibrate numerical models for structural analysis and to assess safety. Data are obtained under real-time conditions, considering a group of parameters related to structural properties, such as stresses, accelerations, deformations and displacements. The analysis of structural properties is particularly relevant when the structure is subjected to extreme events (earthquakes, wind, fire and explosions, among others) or repeated loads (road/rail/air traffic, vibrations induced by equipment and machines), since they affect the structural integrity and put the users at risk. In order to prevent the severe damage and eventual collapse of structures, and consequent human, material and economic losses, the implementation of monitoring systems becomes a valuable tool for today's society. Monitoring of structures is becoming increasingly important, not only as preventive action, but also due to actual economic and sustainability concerns, to ensure a safer and more comfortable built environment.

History of engineering & technology --- image-based measurement --- crack measurement --- shear cracks --- flexural cracks --- damage index --- nuclear power plant --- visual inspection --- photometric stereo --- 3D reconstruction --- rotating stall --- non-synchronous blade vibration --- blade tip timing --- centrifugal compressor --- distributed measurements --- fiber optic sensors --- scour --- soil-structure interaction --- winkler model --- equivalent length --- corrosion sensor --- oil and gas pipelines --- optical fibers --- Fiber Bragg Grating (FBG) --- distributed optical fiber strain sensing cable --- Brillouin scattering --- Rayleigh scattering --- strain sensing cable characterization --- elasto-plastic behavior --- strain sensitivity coefficients --- bridge damage detection --- fiber optic gyroscope --- deep learning --- convolutional neural network --- Fiber Bragg grating --- fiber optic sensors embedded in concrete --- strain measurement --- monitoring --- cracking --- weldable fiber optic sensors --- optical fiber sensors --- material extrusion --- hybrid processes --- temperature and strain monitoring --- similarity measure --- subway tunnel --- distributed vibration --- feature extraction --- autoencoder --- ultra-weak FBG --- hyperspectral imaging --- spectral indices --- random forest --- growth stage --- Fusarium head blight --- structural health monitoring --- load localization --- load estimation --- depth sensor --- artificial neural networks --- castigliano’s theorem --- crack detection --- crack opening --- distributed fiber optic sensors --- DIC --- UHPFRC --- testing --- SHM --- microcracking --- PAD --- environmental monitoring --- colorimetric detection --- water --- atmosphere