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Spanish architect Julio Cano Lasso (1920–1996) was celebrated for his rational and austerely engineered buildings as well as his commitment to designing social housing and urban infrastructure. Lasso’s buildings are practical, modern, and immediately recognisable for their bare-bones aesthetic. He was in the real sense of the word an “eclectic”, fusing diverse sources and periods in his built works. Featuring previously unpublished texts by authors such as William J.R. Curtis, Juhani Pallasmaa, Iñaki Ábalos, and Juan Navarro Baldeweg, as well as archival images complemented by recent photographs by Iwan Baan, ‘Natures’ proudly presents Cano Lasso’s legacy.

Architecture --- History --- Histoire --- Cano Lasso, Julio --- Estudio Cano Lasso

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Das Kirchenmusikalische Jahrbuch 2021 enthält sieben aktuelle Forschungsbeiträge zur Musikgeschichte des 16. bis 20. Jahrhunderts. Zwei Studien sind Werken des Komponisten Orlando di Lasso gewidmet, zum einen aus der Perspektive interkonfessioneller Rezeption, zum anderen aus medienhistorischer Sicht. Ein musikologisch-theologischer Beitrag geht dem Sprachverständnis in Musik am Beispiel von Joh 3,16 nach (Also hat Gott die Welt geliebt). Der Kirchenmusik unter den Bedingungen totallitärer Systeme des 20. Jahrhunderts wenden sich zwei Arbeiten zu. Potenziale von Theodor W. Adornos Schwierigkeiten mit Beethovens Missa solemnis werden erkundet. Analytisch ausgerichtet ist schließlich ein Beitrag zu kompositionstechnischen Spezifika bei Figuralmessen süddeutscher Kirchenkomponisten der Vorklassik.

Orlando di Lasso --- Nationalsozialismus --- Musik und Theologie --- Ludwig van Beethoven --- Theodor W. Adorno --- Tschechische Kirchenmusik --- Kirchenmusik der Vorklassik --- National Socialism --- Music and Theology --- Czech Church Music --- Pre-classical Church Music

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Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.

History of engineering & technology --- short-term load forecasting --- demand-side management --- pattern similarity --- hierarchical short-term load forecasting --- feature selection --- weather station selection --- load forecasting --- special days --- regressive models --- electric load forecasting --- data preprocessing technique --- multiobjective optimization algorithm --- combined model --- Nordic electricity market --- electricity demand --- component estimation method --- univariate and multivariate time series analysis --- modeling and forecasting --- deep learning --- wavenet --- long short-term memory --- demand response --- hybrid energy system --- data augmentation --- convolution neural network --- residential load forecasting --- forecasting --- time series --- cubic splines --- real-time electricity load --- seasonal patterns --- Load forecasting --- VSTLF --- bus load forecasting --- DBN --- PSR --- distributed energy resources --- prosumers --- building electric energy consumption forecasting --- cold-start problem --- transfer learning --- multivariate random forests --- random forest --- electricity consumption --- lasso --- Tikhonov regularization --- load metering --- preliminary load --- short term load forecasting --- performance criteria --- power systems --- cost analysis --- day ahead --- feature extraction --- deep residual neural network --- multiple sources --- electricity

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Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.

History of engineering & technology --- short-term load forecasting --- demand-side management --- pattern similarity --- hierarchical short-term load forecasting --- feature selection --- weather station selection --- load forecasting --- special days --- regressive models --- electric load forecasting --- data preprocessing technique --- multiobjective optimization algorithm --- combined model --- Nordic electricity market --- electricity demand --- component estimation method --- univariate and multivariate time series analysis --- modeling and forecasting --- deep learning --- wavenet --- long short-term memory --- demand response --- hybrid energy system --- data augmentation --- convolution neural network --- residential load forecasting --- forecasting --- time series --- cubic splines --- real-time electricity load --- seasonal patterns --- Load forecasting --- VSTLF --- bus load forecasting --- DBN --- PSR --- distributed energy resources --- prosumers --- building electric energy consumption forecasting --- cold-start problem --- transfer learning --- multivariate random forests --- random forest --- electricity consumption --- lasso --- Tikhonov regularization --- load metering --- preliminary load --- short term load forecasting --- performance criteria --- power systems --- cost analysis --- day ahead --- feature extraction --- deep residual neural network --- multiple sources --- electricity

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Several of the 17 papers in this volume represent diverse strategies for improving sustainability in crop production systems. The maintenance of soil quality and the reclamation of marginal soils, improving tolerance to saline irrigation water, biodegradable alternatives to black plastic mulch, use of natural plant extracts against bacterial disease, and development of cultivars resistant to herbivorous arthropods address urgent priorities in sustainable systems. Two papers examine the driving forces and effects of adopting innovative agricultural technologies in food value chains in underdeveloped regions of the world, and identification of new Asian vegetable crop species for European environments and markets. Three papers reported on managing fruit set and ripening in important fruit crop species like orange, apple, and plum. Postharvest techniques to reduce disease and maintain fruit nutraceutical content were reported in separate papers. Classification techniques, conservation and utilization of unique plant species, and in vitro propagation techniques of species with potential horticultural value were described in four papers.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- grapes --- fruit quality --- SO2 --- Botrytis cinerea --- rots --- fruit drop --- sustainable systems --- fungicides --- Alternaria alternata --- value chain analysis --- innovations --- adaptive lasso --- propensity score matching --- Tanzania --- genetic resistance --- natural allelochemicals --- organic production --- plant defense --- Induced resistance --- polyphenol oxidase --- peroxidase --- plant extract --- bacterial spot --- agronomy --- sustainability --- organic fertilizer --- crop productivity --- soil acidification --- soil organic matter --- pyrolysis --- microbial activity --- health --- aging population --- consumption of fruit and vegetables --- diversification --- market trend --- Korean ginseng sprout --- Ssamchoo --- Peucedanum japonicum --- Aralia elata (Miq.) Seem --- sustainable agriculture --- marketable production --- antioxidant molecules --- mineral content --- strawberry --- weed biomass --- in vitro multiplication --- alpine strawberry --- TDZ --- BA --- IBA --- non-runnering --- shoot explant --- European plum (Prunus domestica L.) --- alternate bearing --- crop load management (CLM) --- mechanical thinning --- reducing chemical input --- circle --- ellipse --- lens --- morphology --- oval --- seed shape --- superellipse --- Cycas --- determinate growth --- dichotomous branch --- isotomous branch --- sexual dimorphism --- Zamia --- Bowenia --- Ceratozamia --- Cycadaceae --- Dioon --- Encephalartos --- leaf element composition --- leaf tissue analysis --- Lepidozamia --- Macrozamia --- Stangeria --- Zamiaceae --- Solanum lycopersicum --- Capsicum annuum --- seedlings --- vegetable nursery --- transplant production --- salinity --- abiotic stress --- plant growth regulators --- GA3 --- anthocyanin --- ascorbic acid --- drying method --- phenol --- phytochemical --- raspberry --- apple (Malus domestica Borkh.) --- colouration --- Envy, Extenday® --- Fuji --- Jazz --- light reflection --- PAL-Phenylalanine-amminia-lyase --- reflective mulch --- shading --- Citrus sinensis (L.) Osb. --- rootstocks --- maturation index --- citrus color index