Late glacial dynamics on the continental shelf of NE-Greenland - implications from submarine landforms

Favorable sea-ice conditions gave way to an acoustic survey offshore NE-Greenland in 2009. The acquired data set clearly depicts an area of sediment ridges in an area of at app. 18 x 9 km. The ridges are found in water depths between 270 and 350 m. The sediment ridges expand between 2,5 – 9 km, are 50 – 250 m wide and between 10 and 25 m high. In profile and without exception, these ridges are characterized by steep slopes towards West and gentle slopes towards East. Their internal structure, imaged by parametric echo-sounding data, shows that they have been deposited on a rather plain surface, thus representing positive sedimentation features rather than erosive remnant structures. Their curved shape, joint orientation and position on a basal till surface indicate their origin from glacial dynamics. We interpret these ridges as a set of terminal moraines. Since they are positioned on a basal till that extends further east, we consider these moraines to reflect short-lived re-advances during an overall recession of the ice stream. This is direct evidence for a highly dynamic behavior of an ice stream from the NE-Greenland Ice Sheet. The ages for these re-advances can be inferred from a thin sedimentary drape indicating a timing between Late Glacial and early Holocene

Gender as compromise formation : towards a radical psychoanalytic theory of trans*

This theoretical study explores the utility of psychoanalytic theory as a tool for working with trans* identified clients. Acknowledging the deeply problematic history of psychoanalytic theory and practice with trans*clients, the study nevertheless contends that a radical rereading of the psychoanalytic canon can provide a theory of gender as compromise formation and a conceptual toolkit that can allow for anti-oppressive clinical work around gender identity from a psychodynamic perspective. Using conceptual history and conceptual analysis as a methodological frame, the study delineates five concepts in contemporary psychoanalytic theorizing that support the depathologizing of trans* identity and the denormalization of cisgender identity. In so doing, this study draws on the long tradition of psychoanalytic interest in identity formation to help social workers doing psychodynamic work with clients reframe theories of normality and pathology around gender identity for themselves, for their clients, and in combating systemic oppression around gender normativity

Post-rift sequence architecture and stratigraphy in the Oligo-Miocene Sardinia rift (Western Mediterranean Sea)

Rift basins provide important sedimentary archives to reconstruct past tectonic and climatic conditions. Understanding their sedimentary history is, however, largely hampered by the competing influence of tectonic versus climatic forcing. The aim of this study is to comprehend the effects of local to regional tectonic and global climatic/eustatic changes on shallow marine depositional systems in the Sardinia Rift (Western Mediterranean Sea). For this purpose the stratigraphic and depositional relations of a mixed siliciclastic-carbonate ramp at the Porto Torres Basin margin were studied along extensive proximal to distal transects. Three depositional sequences (DS1 to DS3) of late Burdigalian to early Serravallian age have been identified, which are separated by erosional unconformities. Each contains a lower trans- gressive part and an upper regressive part. The former includes shoreface sandstone (DS2) or coral reef (DS3) deposits on the proximal ramp and channelized sheet sandstone (DS1) or basinal mudstone (DS2, DS3) deposits on the distal ramp, typically recording an upsection trend of sediment starvation. The latter is represented by basinward-prograding coralline red algal carbonate wedges due to enhanced shallow water carbonate production rates. In the long term, the depositional evolution from DS1 to DS3 reveals basin margin progradation associated with decreasing siliciclastic supply. Integrated calcareous nannoplankton-foraminiferal-pectinid biostratigraphy links the depositional sequences to third-order sea-level cycles and allows to correlate the erosional unconformities at the top of DS1 and DS2 with the Bur 5/Lan 1 and Lan 2/Ser 1 sequence boundaries. The improved sequence stratigraphic framework enables better regional and global correlations. This shows that rhodalgal carbonate slopes started prograding in the western branch of the Sardinia Rift during the late Burdigalian because (1) of a worldwide bloom of rhodalgal facies, and (2) decreasing tectonic activity at the transition from the syn- rift to the post-rift stage caused a continuous reduction of the siliciclastic sediment input

A Ligand Exchange Model for the Adsorption of Inorganic and Organic Ligands at Hydrous Oxide Interfaces

Specific adsorption of organic and inorganic weak acids and of anions on hydrous oxide surfaces and the concomitant influences upon surface charge can be interpreted as ligand exchange reactions at the reactive surface sites. Direct (inner sphere) binding of the ligands to the surface is postulated. The extent of adsorption and its pH dependence can be explained by considering the affinity of the surface sites and those of the ligands. Surface equilibrium constants have been determined experimentally for various surface reactions; they can be used to predict extent of adsorption and resulting surface charge. The adsorption of simple weak acids or their anions is largest around the pH value of pH = pK. The surface complex formation constants show the same trend in stability as the corresponding solute complex formation constants; thus surface coordination equilibrium constants can be estimated from the corresponding complex formation constants in solution

Exchange Rate Volatility and other Determinants of Hysteresis in Exports - Empirical Evidence for the Euro Area

This paper surveys export hysteresis on a micro (firm) level and an aggregate level if sunk adjustment costs matter for export market entry and exit decisions. Furthermore, the impacts of option-to-wait effects due to uncertainty on the aggregation procedure are illustrated. It then illustrates the so-called play-algorithm which allows an estimation of the aggregate/macro hysteresis loop taking into account the variable option value effects resulting from on changing volatility of exchange rates. The play regression model is then applied to empirical export equations (Euro Area member countries to the United States). We do not confine ourselves to the aggregate macro level but also take a sectoral/branch perspective. Analyzing one of the largest export destinations outside the Eurozone, the US, to which 12% of total EA exports were directed in 2012, we find hysteretic effects in many cases of EA member countries’ exports. However, not every increase or decrease of the exchange rate will, automatically, lead to positive or negative reactions of the volume of exports. But a large appreciation of the euro means passing the play-area (i.e. a kind of 'pain-threshold') and results in a strong reaction of exports, et vice versa

Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class

Is self-supervised deep learning (DL) for medical image analysis already a serious alternative to the de facto standard of end-to-end trained supervised DL? We tackle this question for medical image classification, with a particular focus on one of the currently most limiting factors of the field: the (non-)availability of labeled data. Based on three common medical imaging modalities (bone marrow microscopy, gastrointestinal endoscopy, dermoscopy) and publicly available data sets, we analyze the performance of self-supervised DL within the self-distillation with no labels (DINO) framework. After learning an image representation without use of image labels, conventional machine learning classifiers are applied. The classifiers are fit using a systematically varied number of labeled data (1-1000 samples per class). Exploiting the learned image representation, we achieve state-of-the-art classification performance for all three imaging modalities and data sets with only a fraction of between 1% and 10% of the available labeled data and about 100 labeled samples per class