Distribution Matching : Semi-Supervised Feature Selection for Biased Labelled Data

In the context of data science and machine learning, feature selection is a widely used technique that focuses on reducing the dimensionality of a dataset. It is commonly used to improve model accuracy by preventing data redundancy and over-fitting, but can also be beneficial in applications such as data compression. The majority of feature selection techniques rely on labelled data. In many real-world scenarios, however, data is only partially labelled and thus requires so-called semi-supervised techniques, which can utilise both labelled and unlabelled data. While unlabelled data is often obtainable in abundance, labelled datasets are smaller and potentially biased. This thesis presents a method called distribution matching, which offers a way to do feature selection in a semi-supervised setup. Distribution matching is a wrapper method, which trains models to select features that best affect model accuracy. It addresses the problem of biased labelled data directly by incorporating unlabelled data into a cost function which approximates expected loss on unseen data. In experiments, the method is shown to successfully minimise the expected loss transparently on a synthetic dataset. Additionally, a comparison with related methods is performed on a more complex EMNIST dataset

Young Children Respond to Moral Dilemmas Like Their Mothers

There is a large scientific interest in human moral judgments. However, little is known about the developmental origins and the specific role of the primary caregivers in the early development of inter-individual differences in human morality. Here, we assess the moral intuitions of 3- to 6-year-old children and their mothers (N = 56), using child-friendly versions of five trolley dilemmas and two control scenarios. We found that children responded to moral dilemmas similar to their mothers, revealed by correlations between the responses of mothers and their children in all five moral dilemmas and a highly similar overall response pattern between mother and child across all judgments. This was revealed by a high agreement in the response pattern of children and their mothers. Furthermore, children’s overall response tendencies were similar to the response tendencies of adults. Thus, similar moral principles (e.g., the Doctrine of the Double Effect) which have been identified in adults, and describes as a universal moral grammar, may guide the moral intuitions in early childhood already. Taken together, the present findings provide the first evidence that children’s moral intuitions are closely associated with the moral intuitions of their mother

Applying machine learning to replicate large-eddy simulation results on urban pollutant dispersion

Non peer reviewe

Data-driven decoding of quantum error correcting codes using graph neural networks

To leverage the full potential of quantum error-correcting stabilizer codes it is crucial to have an efficient and accurate decoder. Accurate, maximum likelihood, decoders are computationally very expensive whereas decoders based on more efficient algorithms give sub-optimal performance. In addition, the accuracy will depend on the quality of models and estimates of error rates for idling qubits, gates, measurements, and resets, and will typically assume symmetric error channels. In this work, instead, we explore a model-free, data-driven, approach to decoding, using a graph neural network (GNN). The decoding problem is formulated as a graph classification task in which a set of stabilizer measurements is mapped to an annotated detector graph for which the neural network predicts the most likely logical error class. We show that the GNN-based decoder can outperform a matching decoder for circuit level noise on the surface code given only simulated experimental data, even if the matching decoder is given full information of the underlying error model. Although training is computationally demanding, inference is fast and scales approximately linearly with the space-time volume of the code. We also find that we can use large, but more limited, datasets of real experimental data [Google Quantum AI, Nature {\bf 614}, 676 (2023)] for the repetition code, giving decoding accuracies that are on par with minimum weight perfect matching. The results show that a purely data-driven approach to decoding may be a viable future option for practical quantum error correction, which is competitive in terms of speed, accuracy, and versatility.Comment: 15 pages, 12 figure

Centrosomes : methods for preparation

The centrosome of higher eukaryotic cells is the main microtubule-organising centre. To understand the molecular mechanisms underlying this organelle's biogenesis and important functions in several cellular processes, such as microtubule nucleation, cell division and stress response, it was critical to develop methods for isolating biochemically meaningful quantities of centrosomes. Centrosomes have been isolated from a variety of organisms and based on these preparations, numerous aspects of this intriguing organelle's morphological, functional and biochemical properties have been uncovered. Better isolation procedures along with the development of new technologies, like RNAi (ribonucleic acid interference) and the increasing accuracy of mass spectrometry and electron microscopy techniques, have profoundly improved our knowledge of the centrosome, leading to a better understanding of its implications in various cellular processes and in diseases

What are the Role and Capabilities of Fab Labs as a Contribution to a Resilient City? Insights from the Fab City Hamburg

Recent events such as the COVID-19 pandemic or the Ever-Given accident in the Suez Canal, which have led to local product shortages and negative social and environmental impacts, highlight the need to build resilience in areas that are highly affected by such events: in cities. One aspect of a multidisciplinary concept of resilient cities is the local manufacturing of physical products, which currently is mainly based on globally complex supply chains. The resilience of a city can be impaired if the supply of consumer goods can no longer be guaranteed, e.g., due to the fragility of supply chains. From this perspective, one of several pathways to a more resilient city is the emerging movement of open production sites (so called Fab Labs), where physical products can be produced or repaired in a distributed way by the consumers themselves. In metropolitan areas such as Hamburg, Fab Labs form networks including makerspaces, open workshops and educational institutions – so called Fab Cities. This article highlights the role of Fab Labs with regards to urban resilience and displays the capability of the Fab City Hamburg to contribute to the resilience of the city. To explore these capabilities, semi-structured interviews were conducted with makers and operators, and different Fab Labs were explored via participant observation. This article demonstrates that Fab Labs can contribute to a resilient city - especially from the perspective of manufacturing capability but also regarding the development of technical education. However, there are clear limitations with regards to the vertical range and manufacturing diversity

The biodiversity - N cycle relationship: a 15^{15}N tracer experiment with soil from plant mixtures of varying diversity to model N pool sizes and transformation rates

We conducted a $^{15}$N tracer experiment in laboratory microcosms with field-fresh soil samples from a biodiversity xperiment to evaluate the relationship between grassland biodiversity and N cycling. To embrace the complexity of the N cycle, we determined N exchange between five soil N pools (labile and recalcitrant organic N, dissolved NH$_{4}$$^{+}$ and NO3$^{-}$ in soil solution, and exchangeable NH$_{4}$$^{+}$) and eight N transformations (gross N mineralization from labile and recalcitrant organic N, NH$_{4}$$^{+}$ immobilization into labile and recalcitrant organic N, autotrophic nitrification, heterotrophic nitrification, NO$_{3}$$^{-}$ immobilization, adsorption of NH$_{4}$$^{+}$) expected in aerobic soils with the help of the N-cycle model Ntrace. We used grassland soil of the Jena Experiment, which includes plant mixtures with 1 to 60 species and 1 to 4 functional groups (legumes, grasses, tall herbs, small herbs). The 19 soil samples of one block of the Jena Experiment were labeled with either 15NH$_{4}$$^{+}$ or 15NO3- or both. In the presence of legumes, gross N mineralization and autotrophic nitrification increased significantly because of higher soil N concentrations in legume-containing plots and high microbial activity. Similarly, the presence of grasses significantly increased the soil NH$_{4}$$^{+}$ pool, gross N mineralization, and NH$_{4}$$^{+}$immobilization, likely because of enhanced microbial biomass and activity by providing large amounts of rhizodeposits through their dense root systems. In our experiment, previously reported plant species richness effects on the N cycle, observed in a larger-scale field experiment within the Jena Experiment, were not seen. However, specific plant functional groups had a significant positive impact on the N cycling in the incubated soil samples

Plasmonic bimetallic two-dimensional supercrystals for H2 generation

Sunlight-driven H-2 generation is a central technology to tackle our impending carbon-based energy collapse. Colloidal photocatalysts consisting of plasmonic and catalytic nanoparticles are promising for H-2 production at solar irradiances, but their performance is hindered by absorption and multiscattering events. Here we present a two-dimensional bimetallic catalyst by incorporating platinum nanoparticles into a well-defined supercrystal of gold nanoparticles. The bimetallic supercrystal exhibited an H-2 generation rate of 139mmolg(cat)(-1)h(-1) via formic acid dehydrogenation under visible light illumination and solar irradiance. This configuration makes it possible to study the interaction between the two metallic materials and the influence of this in catalysis. We observe a correlation between the intensity of the electric field in the hotspots and the boosted catalytic activity of platinum nanoparticles, while identifying a minor role of heat and gold-to-platinum charge transfer in the enhancement. Our results demonstrate the benefits of two-dimensional configurations with optimized architecture for liquid-phase photocatalysis

Prognostic Value of Different CMR-Based Techniques to Assess Left Ventricular Myocardial Strain in Takotsubo Syndrome

Cardiac magnetic resonance (CMR)-derived left ventricular (LV) global longitudinal strain (GLS) provides incremental prognostic information on various cardiovascular diseases but has not yet been investigated comprehensively in patients with Takotsubo syndrome (TS). This study evaluated the prognostic value of feature tracking (FT) GLS, tissue tracking (TT) GLS, and fast manual long axis strain (LAS) in 147 patients with TS, who underwent CMR at a median of 2 days after admission. Long-term mortality was assessed 3 years after the acute event. In contrast to LV ejection fraction and tissue characteristics, impaired FT-GLS, TT-GLS and fast manual LAS were associated with adverse outcome. The best cutoff points for the prediction of long-term mortality were similar with all three approaches: FT-GLS −11.28%, TT-GLS −11.45%, and fast manual LAS −10.86%. Long-term mortality rates were significantly higher in patients with FT-GLS > −11.28% (25.0% versus 9.8%; p = 0.029), TT-GLS > −11.45% (20.0% versus 5.4%; p = 0.016), and LAS > −10.86% (23.3% versus 6.6%; p = 0.014). However, in multivariable analysis, diabetes mellitus (p = 0.001), atrial fibrillation (p = 0.001), malignancy (p = 0.006), and physical triggers (p = 0.006) outperformed measures of myocardial strain and emerged as the strongest, independent predictors of long-term mortality in TS. In conclusion, CMR-based longitudinal strain provides valuable prognostic information in patients with TS, regardless of the utilized technique of assessment. Long-term mortality, however, is mainly determined by comorbidities