The Spedale di Santa Maria della Scala and the Construction of Siena

The Spedale di Santa Maria della Scala was central to the development of architecture and infrastructure in early modern Siena. A major landowner and patron, the hospital institution oversaw the construction of a wide range of buildings throughout the commune, and also played a crucial role in the perpetuation of a distinctly Sienese corpus of technical knowledge. Archival records attest to the presence of the Spedale’s building workshop, which contributed workers, materials and expertise to both the institution’s projects, as well as those involving Siena’s infrastructure and defences. Several fifteenth-century model books trace the technical tradition spearheaded by the Scala. Assembled by individual practitioners, the books bolstered a collective memory, delineating the ideas and structures that made Siena a place.

Modelling soil organic carbon turnover with assimilation of satellite soil moisture data

The content of organic carbon is one of the essential factors that define soil quality. It is also notoriously challenging to model due to a multitude of biological and abiotic factors influencing the process. In this study, we investigate how decomposition of soil organic matter is affected by soil moisture and temperature. Soil organic carbon turnover is simulated by the CENTURY model. The accuracy of soil moisture data used is ensured by data assimilation approach, combing mathematical model and satellite retrievals. Numerical experiments demonstrate the influence of soil moisture regimes and climate on the quantity of soil humus stocks.

Status and needs for ice tank testing in a changing climate

150 years ago, the first modern icebreaker in the world was designed by the naval architect Carl Ferdinand Steinhaus and built for purpose of removing ice barriers on the river Elbe in Hamburg, Germany. No model tests were performed at that time. Later, in the first half of the 20th century, “model tests” for ships were carried out in natural ice on lakes. In the 1950th the first-generation ice model basins were put in operation and ice model testing became a standard method in the icebreaker design process. This paper discusses the influence of the economic and environmental development in arctic regions, driven by shipping and offshore activities in environmental changing Arctic Waters, on the ice model basin design, equipment and testing methods. The developments will be presented with examples from The Hamburg Ship Model Basin (HSVA). To complete the overview, an outlook to future trends is attempted.

Simulating Grassland Carbon Dynamics in Gansu for the Past Fifty (50) Years (1968–2018) Using the Century Model

China is one of the countries most impacted by desertification, with Gansu Province in the northwest being one of the most affected areas. Efforts have been made in recent decades to restore the natural vegetation, while also producing food. This has implications for the soil carbon sequestration and, as a result, the country’s carbon budget. Studies of carbon (C) dynamics in this region would help to understand the effect of management practices on soil organic carbon (SOC) as well as aboveground biomass (ABVG), and to aid informed decision-making and policy implementation to alleviate the rate of global warming. It would also help to understand the region’s contribution to the national C inventory of China. The CENTURY model, a process-based model that is capable of simulating C dynamics over a long period, has not been calibrated to suit Gansu Province, despite being an effective model for soil C estimation. Using the soil and grassland maps of Gansu, together with weather, soil, and reliable historical data on management practices in the province, we calibrated the CENTURY model for the province’s grasslands. The calibrated model was then used to simulate the C dynamics between 1968 and 2018. The results show that the model is capable of simulating C with significant accuracy. Our measured and observed SOC density (SOCD) and ABVG had correlation coefficients of 0.76 and 0.50, respectively, at p < 0.01. Precipitation correlated with SOCD and ABVG with correlation coefficients of 0.57 and 0.89, respectively, at p < 0.01. The total SOC storage (SOCS) was 436.098 × 106 t C (approximately 0.4356% of the national average) and the average SOCD was 15.75 t C/ha. There was a high ABVG in the southeast and it decreased towards the northwest. The same phenomenon was observed in the spatial distribution of SOCD. Among the soils studied, Hostosols had the highest SOC sequestration rate (25.6 t C/ha) with Gypsisols having the least (7.8 t C/ha). Between 1968 and 2018, the soil carbon stock gradually increased, with the southeast experiencing the greatest increase.

“A Canonical Marriage for the Uninterrupted Succession to Your Royal Dynasty”

This chapter explores in detail the changes made to the sixteenth-century model by the choreographers of the wedding of the first Romanov tsar, and how these changes were aimed at solidifying Romanov rule after the chaos and violence of the Time of Troubles (1598–1613). The chapter also notes that the Romanov had an extensive kinship network based on marriage links to other boyar families that went back a half century. It discusses their network of in-laws who largely survived the upheavals of the Troubles and were now in a position to help the Romanovs, and themselves, politically. The chapter then shifts to describe the qualities of a potential Romanov candidate, and the real possibility of a Romanov on the throne, which would mean a restoration of the fortunes of boyar families — strong incentive for them to advocate and defend Romanov interests. Ultimately, the chapter reviews the Romanov's election in 1613 and their adept exploitation of ritual. It also analyses what it meant for them to have one of the greatest choreographers of the time on their side.

Site-level simulations of measurable soil fractions with Millennial Version 2

&lt;p&gt;Soil carbon (C) models are used to predict C sequestration responses to climate and land use change. Yet, the soil models embedded in Earth system models typically do not represent processes that reflect our current understanding of soil C cycling, such as microbial decomposition, mineral association, and aggregation. Rather, they rely on conceptual pools with turnover times that are fit to bulk C stocks and/or fluxes. As measurements of soil fractions become increasingly available, soil C models that represent these measurable quantities can be evaluated more accurately. Here we present Version 2 (V2) of the Millennial model, a soil model developed to simulate C pools that can be measured by extraction or fractionation, including particulate organic C, mineral-associated organic C, aggregate C, microbial biomass, and dissolved organic C. Model processes have been updated to reflect the current understanding of mineral-association, temperature sensitivity and reaction kinetics, and different model structures were tested within an open-source framework. We evaluated the ability of Millennial V2 to simulate total soil organic C (SOC), as well as the mineral-associated and particulate fractions, using three soil fractionation data sets spanning a range of climate and geochemistry in Australia (N=495), Europe (N=176), and across the globe (N=730). Millennial V2 (RMSE = 1.98 &amp;#8211; 4.76 kg, AIC = 597 &amp;#8211; 1755) generally predicts SOC content better than the widely-used Century model (RMSE = 2.23 &amp;#8211; 4.8 kg, AIC = 584 &amp;#8211; 2271), despite an increase in process complexity and number of parameters. Millennial V2 reproduces between-site variation in SOC across a gradient of plant productivity, and predicts SOC turnover times similar to those of a global meta-analysis. Millennial V2 updates the conceptual Century model pools and processes and represents our current understanding of the roles that microbial activity, mineral association and aggregation play in soil C sequestration.&lt;/p&gt;

Site-level simulations of measurable soil fractions with the Millennial V2 soil model

&lt;p&gt;Soil carbon (C) models are used to predict C sequestration responses to climate and land use change. Yet, the soil models embedded in Earth system models typically do not represent processes that reflect our current understanding of soil C cycling, such as microbial decomposition, mineral association, and aggregation. Rather, they rely on conceptual pools with turnover times that are fit to bulk C stocks and/or fluxes. As measurements of soil fractions become increasingly available, it is necessary for soil C models to represent these measurable quantities so that model processes can be evaluated more accurately. Here we present Version 2 (V2) of the Millennial model, a soil model developed in 2018 to simulate C pools that can be measured by extraction or fractionation, including particulate organic C, mineral-associated organic C, aggregate C, microbial biomass, and dissolved organic C. Model processes have been updated to reflect the current understanding of mineral-association, temperature sensitivity and reaction kinetics, and different model structures were tested within an open-source framework. We evaluated the ability of Millennial V2 to simulate total soil organic C (SOC), as well as the mineral-associated and particulate fractions, using three independent data sets of soil fractionation measurements spanning a range of climate and geochemistry in Australia (N=495), Europe (N=176), and across the globe (N=716). Considering RMSE and AIC as indices of model performance, site-level evaluations show that Millennial V2 predicts soil organic carbon content better than the widely-used Century model, despite an increase in process complexity and number of parameters. Millennial V2 also reproduces between-site variation in SOC across gradients of climate, plant productivity, and soil type. By including the additional constraints of measured soil fractions, we can predict site-level mean residence times similar to a global distribution of mean residence times measured using SOC/respiration rate under an assumption of steady state. The Millennial V2 model updates the conceptual Century model pools and processes and represents our current understanding of the roles that microbial activity, mineral association and aggregation play in soil C sequestration.&lt;/p&gt;

The Control-Effectiveness Framework of Civil–Military Relations

Civil–military relations—particularly the principles and practices of civilian control of the security sector—have changed significantly since the 1990s as more and more states around the world seek to consolidate democracy. The scholarly focus and the policy that it informs remain stuck in a mid-20th-century model, however. While civilian control remains central, this civilian oversight must, itself, uphold the requirements of democratic governance, ensuring that the uniformed forces are well integrated into the democracy that they are sworn to protect. Moreover, this democratic civilian control also must ensure the effectiveness of the security sector in the sense that soldiers, law enforcement officials, and intelligence agencies can fulfill the range of their missions. Thus, democratic civilian control requires ongoing attention from both the civilian and the military sides.