@inbook{19989,
  abstract     = {Neurone empfangen Eingangssignale, konvertieren diese in Aktionspotenziale und generieren schließlich Ausgangssignale auf ihren Zielzellen. Dabei sind die zu überwindenden räumlichen Distanzen oft groß. Daher ist entscheidend, dass elektrische Signale in Nervenzellen schnell von einem zum anderen Ort geleitet werden können. Diese wichtige Aufgabe erfüllt das Axon, der „Ausgangsfortsatz“ der Nervenzelle. Für die schnelle Leitung des Aktionspotenzials sind sowohl die passiven Eigenschaften des axonalen Kabels als auch die aktiven Eigenschaften der Zellmembran von entscheidender Bedeutung. Die Evolution bedient sich zweier Tricks, um die Leitungsgeschwindigkeit des Aktionspotenzials zu maximieren. Der eine Trick ist die Zunahme des Axondurchmessers. Der andere Trick ist die Ausbildung von Markscheiden. Dies führt bei nahezu gleichem Platzbedarf zu einer Zunahme der Leistungsgeschwindigkeit um fast zwei Größenordnungen. Die Aktionspotenzialleitung an myelinisierten Axonen erfolgt „saltatorisch“.},
  author       = {Jonas, Peter M},
  booktitle    = {Physiologie des Menschen},
  isbn         = {9783662564677},
  issn         = {2512-5214},
  pages        = {72--82},
  publisher    = {Springer Nature},
  title        = {{Aktionspotenzial: Fortleitung im Axon}},
  doi          = {10.1007/978-3-662-56468-4_7},
  year         = {2019},
}

@article{105,
  abstract     = {Clinical Utility Gene Card. 1. Name of Disease (Synonyms): Pontocerebellar hypoplasia type 9 (PCH9) and spastic paraplegia-63 (SPG63). 2. OMIM# of the Disease: 615809 and 615686. 3. Name of the Analysed Genes or DNA/Chromosome Segments: AMPD2 at 1p13.3. 4. OMIM# of the Gene(s): 102771.},
  author       = {Marsh, Ashley and Novarino, Gaia and Lockhart, Paul and Leventer, Richard},
  journal      = {European Journal of Human Genetics},
  pages        = {161--166},
  publisher    = {Springer Nature},
  title        = {{CUGC for pontocerebellar hypoplasia type 9 and spastic paraplegia-63}},
  doi          = {10.1038/s41431-018-0231-2},
  volume       = {27},
  year         = {2019},
}

@article{10621,
  abstract     = {Twisted bilayer graphene has recently emerged as a platform for hosting correlated phenomena. For twist angles near θ ≈ 1.1°, the low-energy electronic structure of twisted bilayer graphene features isolated bands with a flat dispersion1,2. Recent experiments have observed a variety of low-temperature phases that appear to be driven by electron interactions, including insulating states, superconductivity and magnetism3,4,5,6. Here we report electrical transport measurements up to room temperature for twist angles varying between 0.75° and 2°. We find that the resistivity, ρ, scales linearly with temperature, T, over a wide range of T before falling again owing to interband activation. The T-linear response is much larger than observed in monolayer graphene for all measured devices, and in particular increases by more than three orders of magnitude in the range where the flat band exists. Our results point to the dominant role of electron–phonon scattering in twisted bilayer graphene, with possible implications for the origin of the observed superconductivity.},
  author       = {Polshyn, Hryhoriy and Yankowitz, Matthew and Chen, Shaowen and Zhang, Yuxuan and Watanabe, K. and Taniguchi, T. and Dean, Cory R. and Young, Andrea F.},
  issn         = {1745-2481},
  journal      = {Nature Physics},
  keywords     = {general physics and astronomy},
  number       = {10},
  pages        = {1011--1016},
  publisher    = {Springer Nature},
  title        = {{Large linear-in-temperature resistivity in twisted bilayer graphene}},
  doi          = {10.1038/s41567-019-0596-3},
  volume       = {15},
  year         = {2019},
}

@inproceedings{10722,
  abstract     = {Bilayer graphene, rotationally faulted to ~1.1 degree misalignment, has recently been shown to host superconducting and resistive states associated with the formation of a flat electronic band. While numerous theories exist for the origins of both states, direct validation of these theories remains an outstanding experimental problem. Here, we focus on the resistive states occurring at commensurate filling (1/2, 1/4, and 3/4) of the two lowest superlattice bands. We test theoretical proposals that these states arise due to broken spin—and/or valley—symmetry by performing direct magnetic imaging with nanoscale SQUID-on-tip microscopy. This technique provides single-spin resolved magnetometry on sub-100nm length scales. I will present imaging data from our 4.2K nSOT microscope on graphite-gated twisted bilayers near the flat band condition and discuss the implications for the physics of the commensurate resistive states.},
  author       = {Serlin, Marec and Tschirhart, Charles and Polshyn, Hryhoriy and Zhu, Jiacheng and Huber, Martin E. and Young, Andrea},
  booktitle    = {APS March Meeting 2019},
  issn         = {0003-0503},
  location     = {Boston, MA, United States},
  number       = {2},
  publisher    = {American Physical Society},
  title        = {{Direct Imaging of magnetic structure in twisted bilayer graphene with scanning nanoSQUID-On-Tip microscopy}},
  volume       = {64},
  year         = {2019},
}

@article{17512,
  abstract     = {The localization of stellar-mass binary black hole mergers using gravitational waves is critical in understanding the properties of the binaries’ host galaxies, observing possible electromagnetic emission from the mergers, or using them as a cosmological distance ladder. The precision of this localization can be substantially increased with prior astrophysical information about the binary system. In particular, constraining the inclination of the binary can reduce the distance uncertainty of the source. Here, we present the first realistic set of localizations for binary black hole mergers, including different prior constraints on the binaries’ inclinations. We find that prior information on the inclination can reduce the localization volume by a factor of 3. We discuss two astrophysical scenarios of interest: (i) follow-up searches for beamed electromagnetic/neutrino counterparts and (ii) mergers in the accretion discs of active galactic nuclei.},
  author       = {Corley, K Rainer and Bartos, Imre and Singer, Leo P and Williamson, Andrew R and Haiman, Zoltán and Kocsis, Bence and Nissanke, Samaya and Márka, Zsuzsa and Márka, Szabolcs},
  issn         = {0035-8711},
  journal      = {Monthly Notices of the Royal Astronomical Society},
  number       = {3},
  pages        = {4459--4463},
  publisher    = {Oxford University Press},
  title        = {{Localization of binary black hole mergers with known inclination}},
  doi          = {10.1093/mnras/stz2072},
  volume       = {488},
  year         = {2019},
}

@article{17556,
  abstract     = {The abundance of molecular hydrogen (H2), the primary coolant in primordial gas, is critical for the thermodynamic evolution and star-formation histories in early protogalaxies. Determining the photodissociation rate of H2 by an incident Lyman-Werner (LW) flux is thus crucial, but prohibitively expensive to calculate on the fly in simulations. The rate is sensitive to the H2 rovibrational distribution, which in turn depends on the gas density, temperature, and incident LW radiation field. We use the publicly available cloudy package to model primordial gas clouds and compare exact photodissociation rate calculations to commonly-used fitting formulae. We find the fit from Wolcott-Green et al. (2011) is most accurate for moderate densities n~10^3 cm^{-3} and temperatures, T~10^3K, and we provide a new fit, which captures the increase in the rate at higher densities and temperatures, owing to the increased excited rovibrational populations in this regime. Our new fit has typical errors of a few percent percent up to n =<10^7 cm^{-3}, T =< 8000K, and H2 column density NH2 =<10^{17} cm^{-2}, and can be easily utilized in simulations. We also show that pumping of the excited rovibrational states of H2 by a strong LW flux further modifies the level populations when the gas density is low, and noticeably decreases self-shielding for J_21 > 10^3 and n < 10^2 cm^{-3}. This may lower the "critical flux" at which primordial gas remains H2-poor in some protogalaxies, enabling massive black hole seed formation.},
  author       = {Wolcott-Green, J and Haiman, Zoltán},
  issn         = {0035-8711},
  journal      = {Monthly Notices of the Royal Astronomical Society},
  number       = {2},
  pages        = {2467--2473},
  publisher    = {Oxford University Press},
  title        = {{H2 self-shielding with non-LTE rovibrational populations: Implications for cooling in protogalaxies}},
  doi          = {10.1093/mnras/sty3280},
  volume       = {484},
  year         = {2019},
}

@article{17565,
  abstract     = {The coalescence of a compact object with a 104−107M⊙ supermassive black hole (SMBH) produces mHz gravitational waves (GWs) detectable by the future Laser Interferometer Space Antenna (LISA). If such an inspiral occurs in the accretion disc of an active galactic nucleus (AGN), the gas torques imprint a small deviation in the GW waveform. Here we present two-dimensional hydrodynamical simulations with the moving-mesh code DISCO of a BH inspiraling at the GW rate in a binary system with a mass ratio q=M2/M1=10−3, embedded in an accretion disc. We assume a locally isothermal equation of state for the gas (with Mach number M=20) and implement a standard α-prescription for its viscosity (with α=0.03). We find disc torques on the binary that are weaker than in previous semi-analytic toy models, and are in the opposite direction: the gas disc slows down, rather than speeds up the inspiral. We compute the resulting deviations in the GW waveform, which scale linearly with the mass of the disc. The SNR of these deviations accumulates mostly at high frequencies, and becomes detectable in a 5-year LISA observation if the total phase shift exceeds a few radians. We find that this occurs if the disc surface density exceeds Σ0≳102−3gcm−2, as may be the case in thin discs with near-Eddington accretion rates. Since the characteristic imprint on the GW signal is strongly dependent on disc parameters, a LISA detection of an intermediate mass ratio inspiral would probe the physics of AGN discs and migration.},
  author       = {Derdzinski, A M and D’Orazio, D and Duffell, P and Haiman, Zoltán and MacFadyen, A},
  issn         = {0035-8711},
  journal      = {Monthly Notices of the Royal Astronomical Society},
  number       = {2},
  pages        = {2754--2765},
  publisher    = {Oxford University Press},
  title        = {{Probing gas disc physics with LISA: simulations of an intermediate mass ratio inspiral in an accretion disc}},
  doi          = {10.1093/mnras/stz1026},
  volume       = {486},
  year         = {2019},
}

@article{17916,
  abstract     = {Electric fields have been proposed as having a distinct ability to catalyze chemical reactions through the stabilization of polar or ionic intermediate transition states. Although field-assisted catalysis is being researched, the ability to catalyze reactions in solution using electric fields remains elusive and the understanding of mechanisms of such catalysis is sparse. Here we show that an electric field can catalyze the cis-to-trans isomerization of [3]cumulene derivatives in solution, in a scanning tunneling microscope. We further show that the external electric field can alter the thermodynamics inhibiting the trans-to-cis reverse reaction, endowing the selectivity toward trans isomer. Using density functional theory-based calculations, we find that the applied electric field promotes a zwitterionic resonance form, which ensures a lower energy transition state for the isomerization reaction. The field also stabilizes the trans form, relative to the cis, dictating the cis/trans thermodynamics, driving the equilibrium product exclusively toward the trans.},
  author       = {Zang, Yaping and Zou, Qi and Fu, Tianren and Ng, Fay and Fowler, Brandon and Yang, Jingjing and Li, Hexing and Steigerwald, Michael L. and Nuckolls, Colin and Venkataraman, Latha},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  publisher    = {Springer Nature},
  title        = {{Directing isomerization reactions of cumulenes with electric fields}},
  doi          = {10.1038/s41467-019-12487-w},
  volume       = {10},
  year         = {2019},
}

@article{17924,
  abstract     = {We demonstrate that imidazole based π–π stacked dimers form strong and efficient conductance pathways in single-molecule junctions using the scanning-tunneling microscope-break junction (STM-BJ) technique and density functional theory-based calculations. We first characterize an imidazole-gold contact by measuring the conductance of imidazolyl-terminated alkanes (im-N-im, N = 3–6). We show that the conductance of these alkanes decays exponentially with increasing length, indicating that the mechanism for electron transport is through tunneling or super-exchange. We also reveal that π–π stacked dimers can be formed between imidazoles and have better coupling than through-bond tunneling. These experimental results are rationalized by calculations of molecular junction transmission using non-equilibrium Green's function formalism. This study verifies the capability of imidazole as a Au-binding ligand to form stable single- and π-stacked molecule junctions at room temperature.},
  author       = {Fu, Tianren and Smith, Shanelle and Camarasa-Gómez, María and Yu, Xiaofang and Xue, Jiayi and Nuckolls, Colin and Evers, Ferdinand and Venkataraman, Latha and Wei, Sujun},
  issn         = {2041-6539},
  journal      = {Chemical Science},
  number       = {43},
  pages        = {9998--10002},
  publisher    = {Royal Society of Chemistry},
  title        = {{Enhanced coupling through π-stacking in imidazole-based molecular junctions}},
  doi          = {10.1039/c9sc03760h},
  volume       = {10},
  year         = {2019},
}

@inproceedings{18269,
  abstract     = {In the past few years, deep learning-based methods have demonstrated enormous success for solving inverse problems in medical imaging. In this work, we address the following question: Given a set of measurements obtained from real imaging experiments, what is the best way to use a learnable model and the physics of the modality to solve the inverse problem and reconstruct the latent image? Standard supervised learning based methods approach this problem by collecting data sets of known latent images and their corresponding measurements. However, these methods are often impractical due to the lack of availability of appropriately sized training sets, and, more generally, due to the inherent difficulty in measuring the “groundtruth” latent image. In light of this, we propose a self-supervised approach to training inverse models in medical imaging in the absence of aligned data. Our method only requiring access to the measurements and the forward model at training. We showcase its effectiveness on inverse problems arising in accelerated magnetic resonance imaging (MRI). },
  author       = {Senouf, Ortal and Vedula, Sanketh and Weiss, Tomer and Bronstein, Alexander and Michailovich, Oleg and Zibulevsky, Michael},
  booktitle    = {First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019},
  isbn         = {9783030333904},
  issn         = {1611-3349},
  location     = {Shenzhen, China},
  pages        = {111 -- 119},
  publisher    = {Springer International Publishing},
  title        = {{Self-supervised learning of inverse problem solvers in medical imaging}},
  doi          = {10.1007/978-3-030-33391-1_13},
  volume       = {11795},
  year         = {2019},
}

@inproceedings{7639,
  abstract     = {Deep neural networks (DNNs) have become increasingly important due to their excellent empirical performance on a wide range of problems. However, regularization is generally achieved by indirect means, largely due to the complex set of functions defined by a network and the difficulty in measuring function complexity. There exists no method in the literature for additive regularization based on a norm of the function, as is classically considered in statistical learning theory. In this work, we study the tractability of function norms for deep neural networks with ReLU activations. We provide, to the best of our knowledge, the first proof in the literature of the NP-hardness of computing function norms of DNNs of 3 or more layers. We also highlight a fundamental difference between shallow and deep networks. In the light on these results, we propose a new regularization strategy based on approximate function norms, and show its efficiency on a segmentation task with a DNN.},
  author       = {Rannen-Triki, Amal and Berman, Maxim and Kolmogorov, Vladimir and Blaschko, Matthew B.},
  booktitle    = {Proceedings of the 2019 International Conference on Computer Vision Workshop},
  isbn         = {9781728150239},
  location     = {Seoul, South Korea},
  publisher    = {IEEE},
  title        = {{Function norms for neural networks}},
  doi          = {10.1109/ICCVW.2019.00097},
  year         = {2019},
}

@article{7711,
  abstract     = {The nature and extent of mitochondrial DNA variation in a population and how it affects traits is poorly understood. Here we resequence the mitochondrial genomes of 169 Drosophila Genetic Reference Panel lines, identifying 231 variants that stratify along 12 mitochondrial haplotypes. We identify 1,845 cases of mitonuclear allelic imbalances, thus implying that mitochondrial haplotypes are reflected in the nuclear genome. However, no major fitness effects are associated with mitonuclear imbalance, suggesting that such imbalances reflect population structure at the mitochondrial level rather than genomic incompatibilities. Although mitochondrial haplotypes have no direct impact on mitochondrial respiration, some haplotypes are associated with stress- and metabolism-related phenotypes, including food intake in males. Finally, through reciprocal swapping of mitochondrial genomes, we demonstrate that a mitochondrial haplotype associated with high food intake can rescue a low food intake phenotype. Together, our findings provide new insight into population structure at the mitochondrial level and point to the importance of incorporating mitochondrial haplotypes in genotype–phenotype relationship studies.},
  author       = {Bevers, Roel P. J. and Litovchenko, Maria and Kapopoulou, Adamandia and Braman, Virginie S. and Robinson, Matthew Richard and Auwerx, Johan and Hollis, Brian and Deplancke, Bart},
  issn         = {2522-5812},
  journal      = {Nature Metabolism},
  number       = {12},
  pages        = {1226--1242},
  publisher    = {Springer Nature},
  title        = {{Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic Reference Panel}},
  doi          = {10.1038/s42255-019-0147-3},
  volume       = {1},
  year         = {2019},
}

@unpublished{7950,
  abstract     = {The input to the token swapping problem is a graph with vertices v1, v2, . . . , vn, and n tokens with labels 1,2, . . . , n, one on each vertex.  The goal is to get token i to vertex vi for all i= 1, . . . , n using a minimum number of swaps, where a swap exchanges the tokens on the endpoints of an edge.Token swapping on a tree, also known as “sorting with a transposition tree,” is not known to be in P nor NP-complete.  We present some partial results:
1.  An optimum swap sequence may need to perform a swap on a leaf vertex that has the correct token (a “happy leaf”), disproving a conjecture of Vaughan.
2.  Any algorithm that fixes happy leaves—as all known approximation algorithms for the problem do—has approximation factor at least 4/3.  Furthermore, the two best-known 2-approximation algorithms have approximation factor exactly 2.
3.  A generalized problem—weighted coloured token swapping—is NP-complete on trees, but solvable in polynomial time on paths and stars.  In this version, tokens and  vertices  have  colours,  and  colours  have  weights.   The  goal  is  to  get  every token to a vertex of the same colour, and the cost of a swap is the sum of the weights of the two tokens involved.},
  author       = {Biniaz, Ahmad and Jain, Kshitij and Lubiw, Anna and Masárová, Zuzana and Miltzow, Tillmann and Mondal, Debajyoti and Naredla, Anurag Murty and Tkadlec, Josef and Turcotte, Alexi},
  booktitle    = {arXiv},
  title        = {{Token swapping on trees}},
  doi          = {10.48550/arXiv.1903.06981},
  year         = {2019},
}

@article{80,
  abstract     = {We consider an interacting, dilute Bose gas trapped in a harmonic potential at a positive temperature. The system is analyzed in a combination of a thermodynamic and a Gross–Pitaevskii (GP) limit where the trap frequency ω, the temperature T, and the particle number N are related by N∼ (T/ ω) 3→ ∞ while the scattering length is so small that the interaction energy per particle around the center of the trap is of the same order of magnitude as the spectral gap in the trap. We prove that the difference between the canonical free energy of the interacting gas and the one of the noninteracting system can be obtained by minimizing the GP energy functional. We also prove Bose–Einstein condensation in the following sense: The one-particle density matrix of any approximate minimizer of the canonical free energy functional is to leading order given by that of the noninteracting gas but with the free condensate wavefunction replaced by the GP minimizer.},
  author       = {Deuchert, Andreas and Seiringer, Robert and Yngvason, Jakob},
  journal      = {Communications in Mathematical Physics},
  number       = {2},
  pages        = {723--776},
  publisher    = {Springer},
  title        = {{Bose–Einstein condensation in a dilute, trapped gas at positive temperature}},
  doi          = {10.1007/s00220-018-3239-0},
  volume       = {368},
  year         = {2019},
}

@inproceedings{8175,
  abstract     = {We study edge asymptotics of poissonized Plancherel-type measures on skew Young diagrams (integer partitions). These measures can be seen as generalizations of those studied by Baik--Deift--Johansson and Baik--Rains in resolving Ulam's problem on longest increasing subsequences of random permutations and the last passage percolation (corner growth) discrete versions thereof. Moreover they interpolate between said measures and the uniform measure on partitions. In the new KPZ-like 1/3 exponent edge scaling limit with logarithmic corrections, we find new probability distributions generalizing the classical Tracy--Widom GUE, GOE and GSE distributions from the theory of random matrices.},
  author       = {Betea, Dan and Bouttier, Jérémie and Nejjar, Peter and Vuletíc, Mirjana},
  booktitle    = {Proceedings on the 31st International Conference on Formal Power Series and Algebraic Combinatorics},
  location     = {Ljubljana, Slovenia},
  publisher    = {Formal Power Series and Algebraic Combinatorics},
  title        = {{New edge asymptotics of skew Young diagrams via free boundaries}},
  year         = {2019},
}

@article{8228,
  abstract     = {Background: Atopics have a lower risk for malignancies, and IgE targeted to tumors is superior to IgG in fighting cancer. Whether IgE-mediated innate or adaptive immune surveillance can confer protection against tumors remains unclear.
Objective: We aimed to investigate the effects of active and passive immunotherapy to the tumor-associated antigen HER-2 in three murine models differing in Epsilon-B-cell-receptor expression affecting the levels of expressed IgE.
Methods: We compared the levels of several serum specific anti-HER-2 antibodies (IgE, IgG1, IgG2a, IgG2b, IgA) and the survival rates in low-IgE ΔM1M2 mice lacking the transmembrane/cytoplasmic domain of Epsilon-B-cell-receptors expressing reduced IgE levels, high-IgE KN1 mice expressing chimeric Epsilon-Gamma1-B-cell receptors with 4-6-fold elevated serum IgE levels, and wild type (WT) BALB/c. Prior engrafting mice with D2F2/E2 mammary tumors overexpressing HER-2, mice were vaccinated with HER-2 or vehicle control PBS using the Th2-adjuvant Al(OH)3 (active immunotherapy), or treated with the murine anti-HER-2 IgG1 antibody 4D5 (passive immunotherapy).
Results: Overall, among the three strains of mice, HER-2 vaccination induced significantly higher levels of HER-2 specific IgE and IgG1 in high-IgE KN1, while low-IgE ΔM1M2 mice had higher IgG2a levels. HER-2 vaccination and passive immunotherapy prolonged the survival in tumor-grafted WT and low-IgE ΔM1M2 strains compared with treatment controls; active vaccination provided the highest benefit. Notably, untreated high-IgE KN1 mice displayed the longest survival of all strains, which could not be further extended by active or passive immunotherapy.
Conclusion: Active and passive immunotherapies prolong survival in wild type and low-IgE ΔM1M2 mice engrafted with mammary tumors. High-IgE KN1 mice have an innate survival benefit following tumor challenge.},
  author       = {Singer, Josef and Achatz-Straussberger, Gertrude and Bentley-Lukschal, Anna and Fazekas-Singer, Judit and Achatz, Gernot and Karagiannis, Sophia N. and Jensen-Jarolim, Erika},
  issn         = {1939-4551},
  journal      = {World Allergy Organization Journal},
  number       = {7},
  publisher    = {Elsevier},
  title        = {{AllergoOncology: High innate IgE levels are decisive for the survival of cancer-bearing mice}},
  doi          = {10.1016/j.waojou.2019.100044},
  volume       = {12},
  year         = {2019},
}

@article{8229,
  abstract     = {Food proteins may get nitrated by various exogenous or endogenous mechanisms. As individuals might get recurrently exposed to nitrated proteins via daily diet, we aimed to investigate the effect of repeatedly ingested nitrated food proteins on the subsequent immune response in non-allergic and allergic mice using the milk allergen beta-lactoglobulin (BLG) as model food protein in a mouse model. Evaluating the presence of nitrated proteins in food, we could detect 3-nitrotyrosine (3-NT) in extracts of different foods and in stomach content extracts of non-allergic mice under physiological conditions. Chemically nitrated BLG (BLGn) exhibited enhanced susceptibility to degradation in simulated gastric fluid experiments compared to untreated BLG (BLGu). Gavage of BLGn to non-allergic animals increased interferon-γ and interleukin-10 release of stimulated spleen cells and led to the formation of BLG-specific serum IgA. Allergic mice receiving three oral gavages of BLGn had higher levels of mouse mast cell protease-1 (mMCP-1) compared to allergic mice receiving BLGu. Regardless of the preceding immune status, non-allergic or allergic, repeatedly ingested nitrated food proteins seem to considerably influence the subsequent immune response.},
  author       = {Ondracek, Anna S. and Heiden, Denise and Oostingh, Gertie J. and Fuerst, Elisabeth and Fazekas-Singer, Judit and Bergmayr, Cornelia and Rohrhofer, Johanna and Jensen-Jarolim, Erika and Duschl, Albert and Untersmayr, Eva},
  issn         = {2072-6643},
  journal      = {Nutrients},
  number       = {10},
  publisher    = {MDPI},
  title        = {{Immune effects of the nitrated food allergen beta-lactoglobulin in an experimental food allergy model}},
  doi          = {10.3390/nu11102463},
  volume       = {11},
  year         = {2019},
}

@phdthesis{8311,
  abstract     = {One of the core promises of blockchain technology is that of enabling trustworthy data dissemination in a trustless environment. What current blockchain systems deliver, however, is slow dissemination of public data, rendering blockchain technology unusable in settings where latency, transaction capacity, or data confidentiality are important. In this thesis we focus on providing solutions on two of the most pressing problems blockchain technology currently faces: scalability and data confidentiality. To address the scalability issue, we present OMNILEDGER, a novel scale-out distributed ledger that preserves long-term security under permissionless operation. It ensures security and correctness by using a bias-resistant public-randomness protocol for choosing large, statistically representative shards that process transactions, and by introducing an efficient cross-shard commit protocol that atomically handles transactions affecting multiple shards. To enable secure sharing of confidential data we present CALYPSO, the first fully decentralized, auditable access-control framework for secure blockchain-based data sharing which builds upon two abstractions. First, on-chain secrets enable collective management of (verifiably shared) secrets under a Byzantine adversary where an access-control blockchain enforces user-specific access rules and a secret-management cothority administers encrypted data. Second, skipchain-based identity and access management enables efficient administration of dynamic, sovereign identities and access policies and, in particular, permits clients to maintain long-term relationships with respect to evolving user identities thanks to the trust-delegating forward links of skipchains. In order to build OMNILEDGER and CALYPSO, we first build a set of tools for efficient decentralization, which are presented in Part II of this dissertation. These tools can be used in decentralized and distributed systems to achieve (1) scalable consensus (BYZCOIN), (2) bias- resistant distributed randomness creations (RANDHOUND), and (3) relationship-keeping between independently updating communication endpoints (SKIPCHAINIAC). Although we use this tools in the scope off this thesis, they can be (and already have been) used in a far wider scope.},
  author       = {Kokoris Kogias, Eleftherios},
  pages        = {244},
  publisher    = {École Polytechnique Fédérale de Lausanne},
  title        = {{Secure, confidential blockchains providing high throughput and low latency}},
  doi          = {10.5075/epfl-thesis-7101},
  year         = {2019},
}

@article{8418,
  abstract     = {For the Restricted Circular Planar 3 Body Problem, we show that there exists an open set U in phase space of fixed measure, where the set of initial points which lead to collision is O(μ120) dense as μ→0.},
  author       = {Guardia, Marcel and Kaloshin, Vadim and Zhang, Jianlu},
  issn         = {0003-9527},
  journal      = {Archive for Rational Mechanics and Analysis},
  keywords     = {Mechanical Engineering, Mathematics (miscellaneous), Analysis},
  number       = {2},
  pages        = {799--836},
  publisher    = {Springer Nature},
  title        = {{Asymptotic density of collision orbits in the Restricted Circular Planar 3 Body Problem}},
  doi          = {10.1007/s00205-019-01368-7},
  volume       = {233},
  year         = {2019},
}

@article{9018,
  abstract     = {Anti-silencing function 1 (ASF1) is a conserved H3-H4 histone chaperone involved in histone dynamics during replication, transcription, and DNA repair. Overexpressed in proliferating tissues including many tumors, ASF1 has emerged as a promising therapeutic target. Here, we combine structural, computational, and biochemical approaches to design peptides that inhibit the ASF1-histone interaction. Starting from the structure of the human ASF1-histone complex, we developed a rational design strategy combining epitope tethering and optimization of interface contacts to identify a potent peptide inhibitor with a dissociation constant of 3 nM. When introduced into cultured cells, the inhibitors impair cell proliferation, perturb cell-cycle progression, and reduce cell migration and invasion in a manner commensurate with their affinity for ASF1. Finally, we find that direct injection of the most potent ASF1 peptide inhibitor in mouse allografts reduces tumor growth. Our results open new avenues to use ASF1 inhibitors as promising leads for cancer therapy.},
  author       = {Bakail, May M and Gaubert, Albane and Andreani, Jessica and Moal, Gwenaëlle and Pinna, Guillaume and Boyarchuk, Ekaterina and Gaillard, Marie-Cécile and Courbeyrette, Regis and Mann, Carl and Thuret, Jean-Yves and Guichard, Bérengère and Murciano, Brice and Richet, Nicolas and Poitou, Adeline and Frederic, Claire and Le Du, Marie-Hélène and Agez, Morgane and Roelants, Caroline and Gurard-Levin, Zachary A. and Almouzni, Geneviève and Cherradi, Nadia and Guerois, Raphael and Ochsenbein, Françoise},
  issn         = {2451-9456},
  journal      = {Cell Chemical Biology},
  keywords     = {Clinical Biochemistry, Molecular Medicine, Biochemistry, Molecular Biology, Pharmacology, Drug Discovery},
  number       = {11},
  pages        = {1573--1585.e10},
  publisher    = {Elsevier},
  title        = {{Design on a rational basis of high-affinity peptides inhibiting the histone chaperone ASF1}},
  doi          = {10.1016/j.chembiol.2019.09.002},
  volume       = {26},
  year         = {2019},
}

