Combined Neuro-Cardiogenic Epilepsy Syndromes and Novel Mechanistic Insights

Human-computer interactio

Geostatistical Analysis and Scaling of Grapevine Root Distribution

Geostatistical analysis was conducted for the root distribution of Vitis berlandieri x Vitis riparia using dispersionindex, fractal dimension, autocorrelation and semivariance. The data were derived from the observation of rootsof six 12-year old Riesling/5C vine plants in a field experiment using minirhizothron technique. The dispersionindex (DI) indicated the clustering of roots. Autocorrelation as a function of the distance lag showed that a higherDI was related to higher autocorrelation at small lags. Small scale (< 3cm) spatial analysis using variograms,showed a clustering of roots at short distances (< 6cm), but also a periodicity at greater distances (16cm) with holeeffects in the variograms. The spatial variance for small scale was 60-85% within a range of 5-8cm. At mediumscale (5-10cm) the spatial variance decreased to 0-20%. Geostatistical analysis is a useful tool to demonstratevariation in root distribution at plant level and to improve root sampling. Although the different geostatisticaltools were related, it was not possible to deduce one result from the other quantitatively

Investigation of grapevine root distribution by in situ minirhizotron observation

Root observations of Vitis berlandieri x Vitis riparia were conducted in two experimental sets using minirhizotron technique. Experiment 1 was a field experiment carried out on a 12 years old Riesling/5C vineyard. On six plants three minirhizotrons were installed at different angles (90°, 60°, 45°) and two directions per tube were used for observation. The maximum of root length density (RLD) was found in soil depths of 600-800 mm with high variation mainly due to plant x angle interaction. Observation direction did not influence the estimates of RLD. The installation angle of the tubes did not lead to any consistent effect on root observation. Experiment 2 was a pot trial of six pots with four vines each. Tubes were installed horizontally. RLD in the pot experiment according to the monolith method and the estimated RLD according to the minirhizotron method did not correlate, so the quantification of Vitis RLD distribution using minirhizotron is difficult.

Cardiac multiscale bioimaging: from nano- through micro- to mesoscales.

Cardiac multiscale bioimaging is an emerging field that aims to provide a comprehensive understanding of the heart and its functions at various levels, from the molecular to the entire organ. It combines both physiologically and clinically relevant dimensions: from nano- and micrometer resolution imaging based on vibrational spectroscopy and high-resolution microscopy to assess molecular processes in cardiac cells and myocardial tissue, to mesoscale structural investigations to improve the understanding of cardiac (patho)physiology. Tailored super-resolution deep microscopy with advanced proteomic methods and hands-on experience are thus strategically combined to improve the quality of cardiovascular research and support future medical decision-making by gaining additional biomolecular information for translational and diagnostic applications

Quellensammlung zur Diskussion um die sogenannte ›Ahnengalerie‹

Die Quellensammlung zur Diskussion um die sogenannte ›Ahnengalerie‹ versammelt verschiedene Beiträge aus den Medien zu diesem Thema. Im Sommer 2021 wurden die Biogramme von insgesamt 40 Kieler Geschichtsprofessoren aus den Fluren des Historischen Seminars entfernt. Das Abhängen der Portraits sorgte außerhalb der Universität für Unmut. In den regionalen Medien wie beim Kurznachrichtendienst twitter entspann sich eine kurze aber intensive Debatte um diesen und weitere Gegenstände der Erinnerungskultur.The Collection of Sources on the Discussion about the so-called ›Ahnengalerie‹ (Gallery of Ancestors) gathers various contributions from the media on this topic. In the summer of 2021, the biographies of a total of 40 Kiel history professors were removed from the corridors of the History Department. The removal of the portraits caused displeasure outside the university. In the regional media, as well as on the short news service twitter, a short but intense debate developed around this and other objects of remembrance culture

Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications

We propose and investigate a hidden Markov model (HMM) for the analysis of aggregated, super-imposed two-state signal recordings. A major motivation for this work is that often these recordings cannot be observed individually but only their superposition. Among others, such models are in high demand for the understanding of cross-talk between ion channels, where each single channel might take two different states which cannot be measured separately. As an essential building block we introduce a parametrized vector norm dependent Markov chain model and characterize it in terms of permutation invariance as well as conditional independence. This leads to a hidden Markov chain "sum" process which can be used for analyzing aggregated two-state signal observations within a HMM. Additionally, we show that the model parameters of the vector norm dependent Markov chain are uniquely determined by the parameters of the "sum" process and are therefore identifiable. Finally, we provide algorithms to estimate the parameters and apply our methodology to real-world ion channel data measurements, where we show competitive gating.Comment: An R package can be found at: https://github.com/ljvanegas/VN