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The building industry is influenced by many factors and trends reflecting the current situation and developments in social, economic, technical, and scientific fields. One of the most important trends seeks to minimize the energy demand. This can be achieved by promoting the construction of buildings with better thermal insulating capabilities of their envelopes and better efficiency in heating, ventilation, and air conditioning systems. Any credible assessment of building energy performance includes the identification and simulation of heat and mass transfer phenomena in both the building envelope and the interior of the building. As the interaction between design elements, climate change, user behavior, heating effectiveness, ventilation, air conditioning systems, and lighting is not straightforward, the assessment procedure can present a complex and challenging task. The simulations should then involve all factors affecting the energy performance of the building in questions. However, the appropriate choice of physical model of heat and mass transfer for different building elements is not the only factor affecting the output of building energy simulations. The accuracy of the material parameters applied in the models as input data is another potential source of uncertainty. For instance, neglecting the dependence of hygric and thermal parameters on moisture content may affect the energy assessment in a significant way. Boundary conditions in the form of weather data sets represent yet another crucial factor determining the uncertainty of the outputs. In light of recent trends in climate change, this topic is vitally important. This Special Issue aims at providing recent developments in laboratory analyses, computational modeling, and in situ measurements related to the assessment of building energy performance based on the proper identification of heat and mass transfer processes in building structures.

CFD --- thermal performance --- Metamodeling --- carbon black --- energy balance --- XRD --- air terminal device --- Hygrothermal assessment --- thermal energy storage --- fibrous aerogel --- Probabilistic assessment --- natural ventilation --- thermal properties --- DSC --- advanced personalized ventilation --- temperature --- noise level --- geopolymers --- elevation --- plaster --- relative humidity --- air velocity --- ground-granulated blast-furnace slag --- heat treatment --- turbulence --- phase change temperature --- energy saving --- mechanical properties --- building envelope --- SEM --- Time series modelling --- self-heating --- mass flow rate prediction --- thermal conductivity --- Convolutional neural networks --- single-sided --- correlation function

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Synthetic aperture radar (SAR) interferometry (InSAR) is an important remote sensing technology used for topographic mapping and deformation monitoring, and has created a new type of radar datum that has significantly evolved during the last couple of decades. This book includes the latest InSAR studies published in the Special Issue “InSAR Signal and Data Processing” of Sensors. We hope that readers of all levels will be able to gain a better understanding of InSAR as well as the when, how, and why of applying this technology.

Research & information: general --- Geography --- time-series InSAR --- subsidence --- GNSS --- coastal urban area --- heterogeneous array --- SAR imaging --- data cross-placement --- computing resource management --- Gaofen-3 satellite --- ScanSAR --- interferometry --- interferometric coherence --- phase compensation --- DEM geolocation --- InSAR --- Qinghai-Tibet Engineering Corridor --- deformation --- permafrost --- interferometric synthetic aperture radar (InSAR) --- phase error calibration --- phase difference measurement --- under-sampling --- coherent accumulation --- SBAS-InSAR --- rock salt mine --- drilling solution mining --- time series --- phase unwrapping (PU) --- multi-baseline (MB) --- two-stage programming approach (TSPA) --- phase unwrapping max-flow/min-cut (PUMA) --- multibaseline interferometric synthetic aperture radar (InSAR) --- non-subsampled shearlet transform (NSST) --- kurtosis --- noise level eatimation --- coherence coefficient --- DEM --- DSM --- hierarchical adaptive surface fitting --- markov random field --- residue --- persistent scatterers --- polarimetric optimization --- deformation monitoring --- interferometric radar --- helicopter landing --- simulation model --- n/a

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Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology.

Humanities --- Social interaction --- medical imaging --- radiomics --- tomosynthesis --- acquisition angle --- percutaneous radioablation --- monte carlo dosimetry --- liver lesions --- molecular radiotherapy --- quality assurance --- in vivo dosimetry --- transmission radiation detectors --- whole breast irradiation --- MR-guided radiotherapy --- predictive models --- cervical cancer --- EOS --- conventional radiography --- computed tomography --- radiation dose --- enchondroma --- phantom --- medical worker --- radiological accident --- emergency response --- retrospective dosimetry --- ESR --- EPR --- fingernails --- antioxidant --- GEMPix --- GEMs --- Timepix --- Medipix --- radiation therapy --- hadron therapy --- microdosimetry --- gaseous detectors --- Covid-19 --- chest CT --- lungs --- HU density --- artificial intelligence --- deep learning --- medical physicist --- machine learning --- big data --- radioembolization --- internal dosimetry --- Monte Carlo-based dosimetry --- absorbed dose --- signal-noise ratio --- contrast-noise ratio --- figure of merit --- robust optimization --- high dose rate brachytherapy --- single plan approach --- median absolute deviation --- 99mTc-sestamibi --- breast-specific γ imaging --- breast cancer --- apoptosis --- theragnostic --- esophageal cancer --- neoadjuvant chemoradiation --- squamous cell carcinoma --- epicardial adipose tissue --- machine and deep learning --- partial volume effect --- quantitative analysis --- point spread function --- post-reconstruction-correction-method --- iterative reconstruction algorithms --- ASiR --- ASiR-V --- noise level --- noise spatial uniformity --- in vivo relative dosimetry --- proton --- radiotherapy --- quality controls --- beam monitoring --- nanoparticles --- scintillation --- ionizing energy deposition --- photodynamic therapy --- singlet oxygen --- protontherapy --- RBE --- radiobiology --- Geant4 --- medical imaging --- radiomics --- tomosynthesis --- acquisition angle --- percutaneous radioablation --- monte carlo dosimetry --- liver lesions --- molecular radiotherapy --- quality assurance --- in vivo dosimetry --- transmission radiation detectors --- whole breast irradiation --- MR-guided radiotherapy --- predictive models --- cervical cancer --- EOS --- conventional radiography --- computed tomography --- radiation dose --- enchondroma --- phantom --- medical worker --- radiological accident --- emergency response --- retrospective dosimetry --- ESR --- EPR --- fingernails --- antioxidant --- GEMPix --- GEMs --- Timepix --- Medipix --- radiation therapy --- hadron therapy --- microdosimetry --- gaseous detectors --- Covid-19 --- chest CT --- lungs --- HU density --- artificial intelligence --- deep learning --- medical physicist --- machine learning --- big data --- radioembolization --- internal dosimetry --- Monte Carlo-based dosimetry --- absorbed dose --- signal-noise ratio --- contrast-noise ratio --- figure of merit --- robust optimization --- high dose rate brachytherapy --- single plan approach --- median absolute deviation --- 99mTc-sestamibi --- breast-specific γ imaging --- breast cancer --- apoptosis --- theragnostic --- esophageal cancer --- neoadjuvant chemoradiation --- squamous cell carcinoma --- epicardial adipose tissue --- machine and deep learning --- partial volume effect --- quantitative analysis --- point spread function --- post-reconstruction-correction-method --- iterative reconstruction algorithms --- ASiR --- ASiR-V --- noise level --- noise spatial uniformity --- in vivo relative dosimetry --- proton --- radiotherapy --- quality controls --- beam monitoring --- nanoparticles --- scintillation --- ionizing energy deposition --- photodynamic therapy --- singlet oxygen --- protontherapy --- RBE --- radiobiology --- Geant4

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Applications of Medical Physics” is a Special Issue of Applied Sciences that has collected original research manuscripts describing cutting-edge physics developments in medicine and their translational applications. Reviews providing updates on the latest progresses in this field are also included. The collection includes a total of 20 contributions by authors from 9 different countries, which cover several areas of medical physics, spanning from radiation therapy, nuclear medicine, radiology, dosimetry, radiation protection, and radiobiology.

medical imaging --- radiomics --- tomosynthesis --- acquisition angle --- percutaneous radioablation --- monte carlo dosimetry --- liver lesions --- molecular radiotherapy --- quality assurance --- in vivo dosimetry --- transmission radiation detectors --- whole breast irradiation --- MR-guided radiotherapy --- predictive models --- cervical cancer --- EOS --- conventional radiography --- computed tomography --- radiation dose --- enchondroma --- phantom --- medical worker --- radiological accident --- emergency response --- retrospective dosimetry --- ESR --- EPR --- fingernails --- antioxidant --- GEMPix --- GEMs --- Timepix --- Medipix --- radiation therapy --- hadron therapy --- microdosimetry --- gaseous detectors --- Covid-19 --- chest CT --- lungs --- HU density --- artificial intelligence --- deep learning --- medical physicist --- machine learning --- big data --- radioembolization --- internal dosimetry --- Monte Carlo-based dosimetry --- absorbed dose --- signal–noise ratio --- contrast–noise ratio --- figure of merit --- robust optimization --- high dose rate brachytherapy --- single plan approach --- median absolute deviation --- 99mTc-sestamibi --- breast-specific γ imaging --- breast cancer --- apoptosis --- theragnostic --- esophageal cancer --- neoadjuvant chemoradiation --- squamous cell carcinoma --- epicardial adipose tissue --- machine and deep learning --- partial volume effect --- quantitative analysis --- point spread function --- post-reconstruction-correction-method --- iterative reconstruction algorithms --- ASiR --- ASiR-V --- noise level --- noise spatial uniformity --- in vivo relative dosimetry --- proton --- radiotherapy --- quality controls --- beam monitoring --- nanoparticles --- scintillation --- ionizing energy deposition --- photodynamic therapy --- singlet oxygen --- protontherapy --- RBE --- radiobiology --- Geant4 --- n/a --- signal-noise ratio --- contrast-noise ratio