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This text explores the insidious power of the global beauty industry and our collective insecurity, vanity and fear of ageing. It negotiates the boundaries of art and documentary, reflecting a world we have created in which there are enormous social, psychological and economic rewards and penalties attached to the way we look.

Nelson, Zed

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Burks, Stephen --- Fassina, Giancarlo --- Guillaumier, Gordon --- Ito, Toyo --- Lucchi, Michele de --- Marelli, Ilaria --- Menguzzato, Gianni --- Nascimben, Claudio --- Rainaldi, Bruno --- Romanello, Roberto --- Ruiz Millet, Joaquim --- Sadler, Marc --- Scacchetti, Luca --- Urquiola, Patricia --- Viola, Claudio La --- Zed

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fotografie --- reportagefotografie --- fotojournalistiek --- twintigste eeuw --- oorlogsfotografie --- eenentwintigste eeuw --- Arnold Eve --- Brown Patrick --- Burnett David --- Burrows Larry --- Chung Dan --- datta Arko --- Fisk Adrian --- Hall Tim --- Haviv Ron --- Hetherington Tim --- Hogsholt David --- Hondros Chris --- Jones Griffiths Philip --- Ben Khelifa Karim --- Marcow Edwin --- McCullin Don --- Mitchell Jeff --- Morath Inge --- Nelson Zed --- Parr Martin --- Peter Carsten --- Riboud Marc --- Salgado Sebastiao --- Silva Yoshisato Daniel --- Smith W. Eugene --- Stevens Bruno --- Teh Ian --- Vitale Ami --- Wiedenhöfer Kai --- Woods Paolo --- 77.044

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A Smart City is the perfect environment to study and exploit the interactions between actors because its architecture already integrates vaious elements to collect data and connect to its citizens. Furthermore, the proliferation of web platforms (e.g., social media and web fora) and the increased affordability of sensors and IoT devices (e.g., smart meters) make data related to a large and diverse set of users accessible, as their activities in the digital world reflect their real-life actions. These new technologies can be of great use for the stakeholders as, on the one hand, they provide them with semantically rich inputs and frequent updates at a relatively cheap cost and, on the other, form a direct channel of communication with the citizens. To fully exploit these new data sources, we need both novel computational methods (e.g., AI, data mining algorithms, knowledge representation) that are suitable for analyzing and understanding the dynamics behind energy consumption and also a deeper understanding of how these methods can be integrated into the existing design and decision processes (e.g., human-in-the-loop processes).Therefore, this Special Issue welcomed original multidisciplinary research works about AI, data science methods, and their integration in existing design/decision-making processes in the domain of energy consumption in Smart Cities.

Research & information: general --- Physics --- building energy flexibility --- HOMER software --- peak clipping --- load shifting --- energy saving --- building performance assessment --- indoor environment quality --- occupants’ satisfaction --- post-occupancy evaluation --- Green Building Index --- tropical climate --- building performance simulation --- CO2 emission --- occupant’s comfort --- window allocation --- climate change --- energy consumption --- building energy load --- thermal load --- future weather --- operative temperature --- cooling load --- daily energy need --- solar gains --- nZEB --- historical buildings --- TRNSYS --- buildings retrofitting --- buildings office --- economic feasibility --- Renewable Energy Systems (RESs) --- Zero Energy District (ZED) --- Digital Twin (DT) --- Building Information Modelling (BIM) --- Geographic Information System (GIS) --- Revit software’s --- asymmetric duty cycle control --- bifilar coil --- pulse duty cycle control --- induction heating --- metal melting --- phase shift control --- pulse density modulation --- series resonant inverter --- variable frequency control --- building operation and maintenance --- extended reality --- virtual reality --- augmented reality --- mixed reality --- immersive technologies --- digital twins --- metaverse --- positive energy district --- district energy infrastructure --- decarbonisation of neighbourhoods --- GIS --- energy transition --- smart city policy --- carbon emission intensity --- digital transformation --- green innovation --- difference-in-differences --- n/a --- occupants' satisfaction --- occupant's comfort --- Revit software's

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Precipitation is a well-recognized pillar in the global water and energy balances. The accurate and timely understanding of its characteristics at the global, regional and local scales is indispensable for a clearer insight on the mechanisms underlying the Earth’s atmosphere-ocean complex system. Precipitation is one of the elements that is documented to be greatly affected by climate change. In its various forms, precipitation comprises the primary source of freshwater, which is vital for the sustainability of almost all human activities. Its socio-economic significance is fundamental in managing this natural resource effectively, in applications ranging from irrigation to industrial and household usage. Remote sensing of precipitation is pursued through a broad spectrum of continuously enriched and upgraded instrumentation, embracing sensors which can be ground-based (e.g., weather radars), satellite-borne (e.g., passive or active space-borne sensors), underwater (e.g., hydrophones), aerial, or ship-borne. This volume hosts original research contributions on several aspects of remote sensing of precipitation, including applications which embrace the use of remote sensing in tackling issues such as precipitation estimation, seasonal characteristics of precipitation and frequency analysis, assessment of satellite precipitation products, storm prediction, rain microphysics and microstructure, and the comparison of satellite and numerical weather prediction precipitation products.

Research & information: general --- Northern China --- raindrop size distribution (DSD) --- microphysical processes --- quantitative precipitation estimation (QPE) --- satellite-based precipitation --- elevation --- extreme events --- IMERG-V05B and V06A --- MSWEP --- ERA5 --- SM2RAIN --- precipitation estimation --- soil moisture --- SM2RAIN-CCI --- SM2RAIN-ASCAT --- multi-satellite precipitation analysis (TMPA) --- error decomposition --- complex topography --- diverse climate --- gauge data --- IMERG --- TAHMO --- morphing --- field displacement --- TIGGE --- precipitation --- numerical weather prediction --- satellite --- flood --- spring 2019 --- Iran --- GPM IMERG --- satellite precipitation --- spatiotemporal analysis --- statistical distribution --- validation --- Mainland China --- GSMaP_NRT --- GSMaP_Gauge_NRT --- raindrop size distribution --- radar reflectivity --- raindrop spectrometer --- semi-arid area --- assessment --- Taiwan --- data assimilation --- WRF model --- high-impact rainfall events --- GNSS ZTD --- optimum interpolation --- geographically weighted regression --- downscaling --- Tianshan Mountains --- satellite precipitation products --- evaluation --- daily rainfall --- hourly rainfall --- GPM --- TRMM --- GNSS --- GNSS antenna --- receiver antenna calibration --- relative calibration --- Phase Center Variation --- U-blox --- goGPS --- Zenith Tropospheric Delay --- ZED-F9P --- GSMaP --- Nepal --- cloud radar --- thunderstorm --- LDR --- hydrometeor --- hydrometeor classification --- lightning --- discharge --- remote sensing --- SEVIRI --- ground radar --- precipitation interpolation --- geographically and temporally weighted regression --- time weight function --- geographically and temporally weighted regression kriging --- extreme rainfall --- polarimetric radar signatures --- quantitative precipitation estimation --- southern china --- reanalysis --- linear trends --- mainland China --- EDBF algorithm --- geospatial predictor --- spatial pattern --- weighted precipitation --- Cyprus --- bias correction --- object-based method --- storm events --- Thies --- disdrometer --- weather circulations --- convective --- stratiform --- rain spectra --- radar reflectivity-rain rate relationship --- gridded precipitation products --- abrupt changes --- trends --- statistical indicators --- agriculture --- Pakistan --- rainfall --- radar --- extreme precipitation --- spatial bootstrap --- Louisiana --- annual maxima --- Northern China --- raindrop size distribution (DSD) --- microphysical processes --- quantitative precipitation estimation (QPE) --- satellite-based precipitation --- elevation --- extreme events --- IMERG-V05B and V06A --- MSWEP --- ERA5 --- SM2RAIN --- precipitation estimation --- soil moisture --- SM2RAIN-CCI --- SM2RAIN-ASCAT --- multi-satellite precipitation analysis (TMPA) --- error decomposition --- complex topography --- diverse climate --- gauge data --- IMERG --- TAHMO --- morphing --- field displacement --- TIGGE --- precipitation --- numerical weather prediction --- satellite --- flood --- spring 2019 --- Iran --- GPM IMERG --- satellite precipitation --- spatiotemporal analysis --- statistical distribution --- validation --- Mainland China --- GSMaP_NRT --- GSMaP_Gauge_NRT --- raindrop size distribution --- radar reflectivity --- raindrop spectrometer --- semi-arid area --- assessment --- Taiwan --- data assimilation --- WRF model --- high-impact rainfall events --- GNSS ZTD --- optimum interpolation --- geographically weighted regression --- downscaling --- Tianshan Mountains --- satellite precipitation products --- evaluation --- daily rainfall --- hourly rainfall --- GPM --- TRMM --- GNSS --- GNSS antenna --- receiver antenna calibration --- relative calibration --- Phase Center Variation --- U-blox --- goGPS --- Zenith Tropospheric Delay --- ZED-F9P --- GSMaP --- Nepal --- cloud radar --- thunderstorm --- LDR --- hydrometeor --- hydrometeor classification --- lightning --- discharge --- remote sensing --- SEVIRI --- ground radar --- precipitation interpolation --- geographically and temporally weighted regression --- time weight function --- geographically and temporally weighted regression kriging --- extreme rainfall --- polarimetric radar signatures --- quantitative precipitation estimation --- southern china --- reanalysis --- linear trends --- mainland China --- EDBF algorithm --- geospatial predictor --- spatial pattern --- weighted precipitation --- Cyprus --- bias correction --- object-based method --- storm events --- Thies --- disdrometer --- weather circulations --- convective --- stratiform --- rain spectra --- radar reflectivity-rain rate relationship --- gridded precipitation products --- abrupt changes --- trends --- statistical indicators --- agriculture --- Pakistan --- rainfall --- radar --- extreme precipitation --- spatial bootstrap --- Louisiana --- annual maxima