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  1. NanoTag - an IgG-free method for mapping DNA-protein interactions 

    Dimitriu, Maria A.; Arzate-Mejía, Rodrigo G.; Steg, Leonard C.; et al. (2024)
    bioRxiv
    Genome-wide profiling of DNA-protein interactions in cells can provide important information 20 about mechanisms of gene regulation. Most current methods for genome-wide profiling of 21 DNA-bound proteins, such as ChIP-seq and CUT&Tag, use conventional IgG antibodies to 22 bind target protein(s), which limits their applicability to targets for which high affinity and high 23 specificity antibodies are available. Here we describe NanoTag, ...
    Working Paper
  2. Fermionization and collective excitations of 1D polariton lattices 

    Knörzer, Johannes; Ołdziejewski, Rafał; Murthy, Puneet A.; et al. (2024)
    arXiv
    We theoretically demonstrate that the hallmarks of correlation and fermionization in a one-dimensional exciton-polaritons gas can be observed with state-of-the-art technology. Our system consists of a chain of excitonic quantum dots coupled to a photonic waveguide, with a low filling of polaritons. We analytically identify the Tonks-Girardeau, Tavis-Cummings and mean-field limits and relate them to different regimes of the excitonic ...
    Working Paper
  3. Generalized Concentratable Entanglement via Parallelized Permutation Tests 

    Liu, Xiaoyu; Knörzer, Johannes; Wang, Zherui Jerry; et al. (2024)
    arXiv
    Multipartite entanglement is an essential resource for quantum information theory and technologies, but its quantification has been a persistent challenge. Recently, Concentratable Entanglement (CE) has been introduced as a promising candidate for a multipartite entanglement measure, which can be efficiently estimated across two state copies. In this work, we introduce Generalized Concentratable Entanglement (GCE) measures, highlight a ...
    Working Paper
  4. Double-bracket quantum algorithms for high-fidelity ground state preparation 

    Robbiati, Matteo; Pedicillo, Edoardo; Pasquale, Andrea; et al. (2024)
    arXiv
    Ground state preparation is a key area where quantum computers are expected to prove advantageous. Double-bracket quantum algorithms (DBQAs) have been recently proposed to diagonalize Hamiltonians and in this work we show how to use them to prepare ground states. We propose to improve an initial state preparation by adding a few steps of DBQAs. The interfaced method systematically achieves a better fidelity while significantly reducing ...
    Working Paper
  5. A novel quinone biosynthetic pathway illuminates the evolution of aerobic metabolism 

    Elling, Felix J.; Pierrel, Fabien; Chobert, Sophie-Carole; et al. (2024)
    bioRxiv
    The dominant organisms in modern oxic ecosystems rely on respiratory quinones with high redox potential (HPQs) for electron transport in aerobic respiration and photosynthesis. The diversification of quinones, from low redox potential in anaerobes to HPQs in aerobes, is assumed to have followed Earth’s surface oxygenation ∼2.3 billion years ago. However, the evolutionary origins of HPQs remain unresolved. Here, we reconstruct the biosynthetic ...
    Working Paper
  6. Are Unemployment Differentials Among Advanced Economies Still Explained by the Shocks-and-Institutions Hypothesis? 

    Campos, Nauro F.; Eichenauer, Vera; Sturm, Jan-Egbert (2024)
    KOF Working Papers
    The average unemployment rate in Europe has been consistently higher than in the United States since 1980. The main explanation offered by a rather large economics literature focuses on the interaction between institutions and shocks. The contribution of this paper is twofold: to assess whether this prevailing explanation still holds when we take into account recent shocks (globalisation, China, etc.) and time-varying labour market ...
    Working Paper
  7. Credit Enforcement and Monetary-Policy Transmission 

    Althanns, Markus; van Buggenum, Hugo; Gersbach, Hans (2024)
    CEPR Discussion Papers
    We study how the degree of credit enforcement matters for the transmission of long-run inflation and the welfare effect of private-money creation. We do so in a model with directed and competitive search, where sellers borrow against their search-market income. Intermediaries sell the arising claims as private money to buyers, who use it along with fiat money to transact in the search market. Inflation stimulates borrowing by curbing real ...
    Working Paper
  8. Domestic freezer storage: a solution for preserving stool microbiota integrity for at-home collection 

    Momo Cabrera, Paula; Bokulich, Nicholas; Zimmermann, Petra (2024)
    bioRxiv
    The gut microbiome is crucial for host health. Early childhood is a critical period for the development of a healthy gut microbiome, but it is particularly sensitive to external influences. Recent research has focused on using advanced techniques like shotgun metagenome sequencing to identify key microbial signatures and disruptions linked to disease. For accurate microbiome analysis, samples need to be collected and stored under specific ...
    Working Paper
  9. Learning-by-doing in Data Markets 

    Dubus, Antoine; Sand-Zantman, Wilfried (2024)
    Data brokers learn from the large amounts of data they treat, lower their operational costs and gain efficiency, improving their ability to supply information to industries. When competing firms can buy consumer-related information from those brokers, we derive the implications of learning-by-doing from data on the firms’ and brokers’ profits. We show that learning effects can harm a data broker when firms anticipate how providing their ...
    Working Paper
  10. Convergent evolution of viral-like Borg archaeal extrachromosomal elements and giant eukaryotic viruses 

    Banfield, Jillian F.; Valentin-Alvarado, Luis E.; Shi, Ling-Dong; et al. (2024)
    bioRxiv
    Borgs are huge extrachromosomal elements of anaerobic methane-oxidizing archaea. They exist in exceedingly complex microbiomes, lack cultivated hosts and have few protein functional annotations, precluding their classification as plasmids, viruses or other. Here, we used in silico structure prediction methods to investigate potential roles for ∼10,000 Borg proteins. Prioritizing analysis of multicopy genes that could signal importance for ...
    Working Paper
  11. Durability of MgO/hydromagnesite mortars -- Resistance to chlorides and corrosion 

    Furcas, Fabio Enrico; German, Alexander; Winnefeld, Frank; et al. (2024)
    arXiv
    The durability of MgO/hydromagnesite mortars was studied with respect to their corrosion performance and resistance to chloride attack and moisture. MgO/hydromagnesite pastes were cured in chloride solution to induce potential formation of Mg-chlorides; however, no such phases were observed. Rapid chloride ingress measurements demonstrated high penetration resistance and low chloride migration coefficients, i.e. D_Cl = 1e-13 to 1e-12 ...
    Working Paper
  12. Between control and empowerment: Data quality in border and migration management 

    Leese, Matthias (2024)
    CURATE Working Paper
    This Working Paper conceptually explores the role of data quality in European migration and border management. Drawing on the notion of legibility as well as the dual nature of identification, it examines how forms of datafied representation – and notably their reliability – impact both state power and migrant experiences. The analysis highlights that data quality should be understood as a tool for both empowerment and control, with ...
    Working Paper
  13. The Rotational and Spin-Rotational Level Structure of para-H$_{2}^+$ from High-Resolution MQDT-Assisted Rydberg-State Spectroscopy 

    Doran, Ioana; Beyer, Maximilian; Merkt, Frédéric (2024)
    arXiv
    The structure of the low-lying rotational levels of the X$^+$ $ ^2 Σ_g ^+$ ($v^+=0$) vibronic ground state of para-H$_2^+$ has been determined by combining frequency-comb calibrated continuous-wave high-resolution laser spectroscopy of $n$f Rydberg series in the range of principal quantum number $n$ between 28 and 115 and Rydberg-series extrapolation using multichannel-quantum-defect theory (MQDT). The use of accurate quantum-defect ...
    Working Paper
  14. An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild 

    Bauer, Erik; Blöchlinger, Marc; Strauch, Pascal; et al. (2024)
    arXiv
    Aerial manipulation combines the versatility and speed of flying platforms with the functional capabilities of mobile manipulation, which presents significant challenges due to the need for precise localization and control. Traditionally, researchers have relied on offboard perception systems, which are limited to expensive and impractical specially equipped indoor environments. In this work, we introduce a novel platform for autonomous ...
    Working Paper
  15. Climate Change Impacts on Public Finances Around the World 

    Barrage, Lint (2024)
    CESifo Working Papers
    Working Paper
  16. Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning 

    Huang, Shengyi; Gallouédec, Quentin; Felten, Florian; et al. (2024)
    arXiv
    In many Reinforcement Learning (RL) papers, learning curves are useful indicators to measure the effectiveness of RL algorithms. However, the complete raw data of the learning curves are rarely available. As a result, it is usually necessary to reproduce the experiments from scratch, which can be time-consuming and error-prone. We present Open RL Benchmark, a set of fully tracked RL experiments, including not only the usual data such as ...
    Working Paper
  17. MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning 

    Felten, Florian; Ucak, Umut; Azmani, Hicham; et al. (2024)
    arXiv
    Many challenging tasks such as managing traffic systems, electricity grids, or supply chains involve complex decision-making processes that must balance multiple conflicting objectives and coordinate the actions of various independent decision-makers (DMs). One perspective for formalising and addressing such tasks is multi-objective multi-agent reinforcement learning (MOMARL). MOMARL broadens reinforcement learning (RL) to problems with ...
    Working Paper
  18. ARRID: ANN-based Rotordynamics for Robust and Integrated Design 

    Massoudi, Soheyl; Schiffmann, Jürg (2022)
    arXiv
    The purpose of this study is to introduce ANN-based software for the fast evaluation of rotordynamics in the context of robust and integrated design. It is based on a surrogate model made of ensembles of artificial neural networks running in a Bokeh web application. The use of a surrogate model has sped up the computation by three orders of magnitude compared to the current models. ARRID offers fast performance information, including the ...
    Working Paper
  19. Hyperparameter Optimization for Multi-Objective Reinforcement Learning 

    Felten, Florian; Gareev, Daniel; Talbi, El-Ghazali; et al. (2023)
    arXiv
    Reinforcement learning (RL) has emerged as a powerful approach for tackling complex problems. The recent introduction of multi-objective reinforcement learning (MORL) has further expanded the scope of RL by enabling agents to make trade-offs among multiple objectives. This advancement not only has broadened the range of problems that can be tackled but also created numerous opportunities for exploration and advancement. Yet, the effectiveness ...
    Working Paper
  20. A general machine learning model of aluminosilicate melt viscosity and its application to the surface properties of dry lava planets 

    Le Losq, Charles; Ferraina, Clément; Sossi, Paolo A.; et al. (2024)
    arXiv
    Ultra-short-period exoplanets like K2-141 b likely have magma oceans on their dayside, which play a critical role in redistributing heat within the planet. This could lead to a warm nightside surface, measurable by the James Webb Space Telescope, offering insights into the planet's structure. Accurate models of properties like viscosity, which can vary by orders of magnitude, are essential for such studies. We present a new model for ...
    Working Paper

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