1. Multi Agent Reinforcement Learning for Karma Economies 

   Vaishampayan, Saurabh (2024)

   Recently, new class of dynamic resource allocation mechanisms, called karma mechanisms, have shown great promise in acheiving fair and efficient outcomes. The analysis of karma mechanisms relies on the availability of versatile computational tools to predict the Nash equilibrium of a "karma game". Existing algorithms used to compute Nash equilibria of a karma game are centralized in nature, severely limiting the size and complexity of ...

   Master Thesis

2. Synchronizing the Western Gotland Basin (Baltic Sea) and Lake Kalksjon (central Sweden) sediment records using common cosmogenic radionuclide production variations 

   Czymzik, Markus; Christl, Marcus; Dellwig, Olaf; et al. (2024)

   The Holocene

   Multi-archive studies of climate events and archive-specific response times require synchronous time scales. Aligning common variations in the cosmogenic radionuclide production rate via curve fitting methods provides a tool for the continuous synchronization of natural environmental archives down to decadal precision. Based on this approach, we synchronize Be-10 records from Western Gotland Basin (WGB, Baltic Sea) and Lake Kalksjon (KKJ, ...

   Journal Article

3. Probing the salivary proteome for prognostic biomarkers in response to non-surgical periodontal therapy 

   Silbereisen, Angelika; Bao, Kai; Wolski, Witold; et al. (2024)

   Journal of Clinical Periodontology

   Aim This prospective study investigated the salivary proteome before and after periodontal therapy. Materials and Methods Ten systemically healthy, non-smoking, stage III, grade C periodontitis patients underwent non-surgical periodontal treatment. Full-mouth periodontal parameters were measured, and saliva (n = 30) collected pre- (T0), and one (T1) and six (T6) months post-treatment. The proteome was investigated by label-free quantitative ...

   Journal Article

4. Strength and power adaptations of the upper body following 20 training sessions on an eccentric arm-crank ergometer 

   Perret, Claudio; Kaech, Matheo; Hertig-Godeschalk, Anneke; et al. (2024)

   European Journal of Applied Physiology

   Purpose Eccentric strength training is an innovative and promising approach to improve exercise performance. However, most eccentric training studies in the past were performed with a focus on the lower extremities. The present study aimed to test the feasibility and effects on strength and power adaptations of a structured upper-body eccentric training program. Methods Fourteen (median age (Q1-Q3) 29 years (27-32); 9 females, 5 males) ...

   Journal Article

5. On connectivity in random graph models with limited dependencies 

   Lengler, Johannes; Martinsson, Anders; Petrova, Kalina; et al. (2024)

   Random Structures & Algorithms

   We consider random graph models in which the events describing the inclusion of potential edges have to be independent of each other if the corresponding edges are non-adjacent and ask: what is the minimum probability rho(n), such that for any distribution G (in this model) on graphs with n vertices in which each potential edge has a marginal probability of being present at least rho(n), a graph drawn from G is connected with non-zero ...

   Journal Article

Mehr anzeigen