Terenz: Phormio

German Translation (with notes and introduction) of Terence's Phormio.

Terenz

Comprehensive introduction to the Roman playwright Terence.

Terentius Poeta

Edited volume, reassessing Terence as a playwright of its own right, containing cutting-edge contributions on textual criticism, edition, language, metre, and aesthetics of Terence.

Aroma compounds in French fries from three potato varieties

Sugars and free amino acids were measured in three potato varieties widely available in the United Kingdom. French fries were cooked for 6, 9 and 12 min at 180°C, and the effects of cooking time and variety on volatile composition were examined. Maillard reaction-derived aroma compounds increased as cooking time increased. Varieties Desiree and Maris Piper were relatively high in sugars and aroma compounds derived from sugars, e.g. 5-methylfurfural and dihydro-2-methyl- 3[2H]-furanone, whereas variety King Edward was relatively high in free amino acids and their associated aroma compounds, such as pyrazines and Strecker aldehydes.

How to apologise in Latin: a case study

Recent years have seen an increase in sociolinguistic studies of the Latin language devoted to aspects and forms of politeness as part of general linguistic behaviour, and considerable progress has been made overall. One area, albeit central to the notion of politeness, has been conspicuously neglected so far, and this area is best summarised by the term ‘apologies’. This paper aims to remedy this situation and to provide a first extensive case study, based on the textual corpus of Terence.

Stochastic climate theory and modeling

Stochastic methods are a crucial area in contemporary climate research and are increasingly being used in comprehensive weather and climate prediction models as well as reduced order climate models. Stochastic methods are used as subgrid-scale parameterizations (SSPs) as well as for model error representation, uncertainty quantification, data assimilation, and ensemble prediction. The need to use stochastic approaches in weather and climate models arises because we still cannot resolve all necessary processes and scales in comprehensive numerical weather and climate prediction models. In many practical applications one is mainly interested in the largest and potentially predictable scales and not necessarily in the small and fast scales. For instance, reduced order models can simulate and predict large-scale modes. Statistical mechanics and dynamical systems theory suggest that in reduced order models the impact of unresolved degrees of freedom can be represented by suitable combinations of deterministic and stochastic components and non-Markovian (memory) terms. Stochastic approaches in numerical weather and climate prediction models also lead to the reduction of model biases. Hence, there is a clear need for systematic stochastic approaches in weather and climate modeling. In this review, we present evidence for stochastic effects in laboratory experiments. Then we provide an overview of stochastic climate theory from an applied mathematics perspective. We also survey the current use of stochastic methods in comprehensive weather and climate prediction models and show that stochastic parameterizations have the potential to remedy many of the current biases in these comprehensive models.

I killed my father, I ate human flesh, I quiver with joy: an obsession with Pier Paolo Pasolini

Group show, curated by Invisible Exports Gallery. Featuring work by Michael Bilsborough, Lizzi Bougatsos, BREYER P-ORRIDGE, Asger Carlsen, Troels Carlsen, Walt Cassidy, Andy Coolquitt, Vaginal Davis, Carlton DeWoody, Joey Frank, Paul Gabrielli, Ludovica Gioscia, Luis Gispert, Terence Hannum, Karen Heagle, Timothy Hull, Doug Ischar, Brian Kenny, Jeremy Kost, Aaron Krach, Yeni Mao, Leigha Mason, Mark McCoy, Robert Melee, Lucas Michael, Jennifer Needleman, Brent Owens, Paul P., Paolo Di Paolo, Franklin Preston, John Russell, Xaviera Simmons, Duston Spear, Scott Treleaven, Ramon Vega, Jordan Wolfson, Dustin Yellin