@inproceedings{12901,
  author       = {Schlögl, Alois and Kiss, Janos and Elefante, Stefano},
  booktitle    = {AHPC19 - Austrian HPC Meeting 2019 },
  location     = {Grundlsee, Austria},
  pages        = {25},
  publisher    = {Institut für Mathematik und wissenschaftliches Rechnen der Universität Graz},
  title        = {{Is Debian suitable for running an HPC Cluster?}},
  year         = {2019},
}

@misc{13067,
  abstract     = {Genetic incompatibilities contribute to reproductive isolation between many diverging populations, but it is still unclear to what extent they play a role if divergence happens with gene flow. In contact zones between the "Crab" and "Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong barriers to gene flow, while the role of postzygotic barriers due to selection against hybrids remains unclear. High embryo abortion rates in this species could indicate the presence of such barriers. Postzygotic barriers might include genetic incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation, both expected to be most pronounced in contact zones. In addition, embryo abortion might reflect physiological stress on females and embryos independent of any genetic stress. We examined all embryos of &gt;500 females sampled outside and inside contact zones of three populations in Sweden. Females' clutch size ranged from 0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean 12%). We described female genotypes by using a hybrid index based on hundreds of SNPs differentiated between ecotypes with which we characterised female genotypes. We also calculated female SNP heterozygosity and inversion karyotype. Clutch size did not vary with female hybrid index and abortion rates were only weakly related to hybrid index in two sites but not at all in a third site. No additional variation in abortion rate was explained by female SNP heterozygosity, but increased female inversion heterozygosity added slightly to increased abortion. Our results show only weak and probably biologically insignificant postzygotic barriers contributing to ecotype divergence and the high and variable abortion rates were marginally, if at all, explained by hybrid index of females.},
  author       = {Johannesson, Kerstin and Zagrodzka, Zuzanna and Faria, Rui and Westram, Anja M and Butlin, Roger},
  publisher    = {Dryad},
  title        = {{Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?}},
  doi          = {10.5061/DRYAD.TB2RBNZWK},
  year         = {2019},
}

@article{138,
  abstract     = {Autoregulation is the direct modulation of gene expression by the product of the corresponding gene. Autoregulation of bacterial gene expression has been mostly studied at the transcriptional level, when a protein acts as the cognate transcriptional repressor. A recent study investigating dynamics of the bacterial toxin–antitoxin MazEF system has shown how autoregulation at both the transcriptional and post-transcriptional levels affects the heterogeneity of Escherichia coli populations. Toxin–antitoxin systems hold a crucial but still elusive part in bacterial response to stress. This perspective highlights how these modules can also serve as a great model system for investigating basic concepts in gene regulation. However, as the genomic background and environmental conditions substantially influence toxin activation, it is important to study (auto)regulation of toxin–antitoxin systems in well-defined setups as well as in conditions that resemble the environmental niche.},
  author       = {Nikolic, Nela},
  journal      = {Current Genetics},
  number       = {1},
  pages        = {133--138},
  publisher    = {Springer},
  title        = {{Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system}},
  doi          = {10.1007/s00294-018-0879-8},
  volume       = {65},
  year         = {2019},
}

@inproceedings{14184,
  abstract     = {Learning disentangled representations is considered a cornerstone problem in
representation learning. Recently, Locatello et al. (2019) demonstrated that
unsupervised disentanglement learning without inductive biases is theoretically
impossible and that existing inductive biases and unsupervised methods do not
allow to consistently learn disentangled representations. However, in many
practical settings, one might have access to a limited amount of supervision,
for example through manual labeling of (some) factors of variation in a few
training examples. In this paper, we investigate the impact of such supervision
on state-of-the-art disentanglement methods and perform a large scale study,
training over 52000 models under well-defined and reproducible experimental
conditions. We observe that a small number of labeled examples (0.01--0.5\% of
the data set), with potentially imprecise and incomplete labels, is sufficient
to perform model selection on state-of-the-art unsupervised models. Further, we
investigate the benefit of incorporating supervision into the training process.
Overall, we empirically validate that with little and imprecise supervision it
is possible to reliably learn disentangled representations.},
  author       = {Locatello, Francesco and Tschannen, Michael and Bauer, Stefan and Rätsch, Gunnar and Schölkopf, Bernhard and Bachem, Olivier},
  booktitle    = {8th International Conference on Learning Representations},
  location     = {Virtual},
  title        = {{Disentangling factors of variation using few labels}},
  year         = {2019},
}

@inproceedings{14189,
  abstract     = {We consider the problem of recovering a common latent source with independent
components from multiple views. This applies to settings in which a variable is
measured with multiple experimental modalities, and where the goal is to
synthesize the disparate measurements into a single unified representation. We
consider the case that the observed views are a nonlinear mixing of
component-wise corruptions of the sources. When the views are considered
separately, this reduces to nonlinear Independent Component Analysis (ICA) for
which it is provably impossible to undo the mixing. We present novel
identifiability proofs that this is possible when the multiple views are
considered jointly, showing that the mixing can theoretically be undone using
function approximators such as deep neural networks. In contrast to known
identifiability results for nonlinear ICA, we prove that independent latent
sources with arbitrary mixing can be recovered as long as multiple,
sufficiently different noisy views are available.},
  author       = {Gresele, Luigi and Rubenstein, Paul K. and Mehrjou, Arash and Locatello, Francesco and Schölkopf, Bernhard},
  booktitle    = {Proceedings of the 35th Conference on Uncertainty in Artificial  Intelligence},
  location     = {Tel Aviv, Israel},
  pages        = {217--227},
  publisher    = {ML Research Press},
  title        = {{The incomplete Rosetta Stone problem: Identifiability results for multi-view nonlinear ICA}},
  volume       = {115},
  year         = {2019},
}

@inproceedings{14190,
  abstract     = {Learning meaningful and compact representations with disentangled semantic
aspects is considered to be of key importance in representation learning. Since
real-world data is notoriously costly to collect, many recent state-of-the-art
disentanglement models have heavily relied on synthetic toy data-sets. In this
paper, we propose a novel data-set which consists of over one million images of
physical 3D objects with seven factors of variation, such as object color,
shape, size and position. In order to be able to control all the factors of
variation precisely, we built an experimental platform where the objects are
being moved by a robotic arm. In addition, we provide two more datasets which
consist of simulations of the experimental setup. These datasets provide for
the first time the possibility to systematically investigate how well different
disentanglement methods perform on real data in comparison to simulation, and
how simulated data can be leveraged to build better representations of the real
world. We provide a first experimental study of these questions and our results
indicate that learned models transfer poorly, but that model and hyperparameter
selection is an effective means of transferring information to the real world.},
  author       = {Gondal, Muhammad Waleed and Wüthrich, Manuel and Miladinović, Đorđe and Locatello, Francesco and Breidt, Martin and Volchkov, Valentin and Akpo, Joel and Bachem, Olivier and Schölkopf, Bernhard and Bauer, Stefan},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  title        = {{On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14191,
  abstract     = {A broad class of convex optimization problems can be formulated as a semidefinite program (SDP), minimization of a convex function over the positive-semidefinite cone subject to some affine constraints. The majority of classical SDP solvers are designed for the deterministic setting where problem data is readily available. In this setting, generalized conditional gradient methods (aka Frank-Wolfe-type methods) provide scalable solutions by leveraging the so-called linear minimization oracle instead of the projection onto the semidefinite cone. Most problems in machine learning and modern engineering applications, however, contain some degree of stochasticity. In this work, we propose the first conditional-gradient-type method for solving stochastic optimization problems under affine constraints. Our method guarantees O(k−1/3) convergence rate in expectation on the objective residual and O(k−5/12) on the feasibility gap.},
  author       = {Locatello, Francesco and Yurtsever, Alp and Fercoq, Olivier and Cevher, Volkan},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  pages        = {14291–14301},
  title        = {{Stochastic Frank-Wolfe for composite convex minimization}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14193,
  abstract     = {A disentangled representation encodes information about the salient factors
of variation in the data independently. Although it is often argued that this
representational format is useful in learning to solve many real-world
down-stream tasks, there is little empirical evidence that supports this claim.
In this paper, we conduct a large-scale study that investigates whether
disentangled representations are more suitable for abstract reasoning tasks.
Using two new tasks similar to Raven's Progressive Matrices, we evaluate the
usefulness of the representations learned by 360 state-of-the-art unsupervised
disentanglement models. Based on these representations, we train 3600 abstract
reasoning models and observe that disentangled representations do in fact lead
to better down-stream performance. In particular, they enable quicker learning
using fewer samples.},
  author       = {Steenkiste, Sjoerd van and Locatello, Francesco and Schmidhuber, Jürgen and Bachem, Olivier},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  title        = {{Are disentangled representations helpful for abstract visual reasoning?}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14197,
  abstract     = {Recently there has been a significant interest in learning disentangled
representations, as they promise increased interpretability, generalization to
unseen scenarios and faster learning on downstream tasks. In this paper, we
investigate the usefulness of different notions of disentanglement for
improving the fairness of downstream prediction tasks based on representations.
We consider the setting where the goal is to predict a target variable based on
the learned representation of high-dimensional observations (such as images)
that depend on both the target variable and an \emph{unobserved} sensitive
variable. We show that in this setting both the optimal and empirical
predictions can be unfair, even if the target variable and the sensitive
variable are independent. Analyzing the representations of more than
\num{12600} trained state-of-the-art disentangled models, we observe that
several disentanglement scores are consistently correlated with increased
fairness, suggesting that disentanglement may be a useful property to encourage
fairness when sensitive variables are not observed.},
  author       = {Locatello, Francesco and Abbati, Gabriele and Rainforth, Tom and Bauer, Stefan and Schölkopf, Bernhard and Bachem, Olivier},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  pages        = {14611–14624},
  title        = {{On the fairness of disentangled representations}},
  volume       = {32},
  year         = {2019},
}

@inproceedings{14200,
  abstract     = {The key idea behind the unsupervised learning of disentangled representations
is that real-world data is generated by a few explanatory factors of variation
which can be recovered by unsupervised learning algorithms. In this paper, we
provide a sober look at recent progress in the field and challenge some common
assumptions. We first theoretically show that the unsupervised learning of
disentangled representations is fundamentally impossible without inductive
biases on both the models and the data. Then, we train more than 12000 models
covering most prominent methods and evaluation metrics in a reproducible
large-scale experimental study on seven different data sets. We observe that
while the different methods successfully enforce properties ``encouraged'' by
the corresponding losses, well-disentangled models seemingly cannot be
identified without supervision. Furthermore, increased disentanglement does not
seem to lead to a decreased sample complexity of learning for downstream tasks.
Our results suggest that future work on disentanglement learning should be
explicit about the role of inductive biases and (implicit) supervision,
investigate concrete benefits of enforcing disentanglement of the learned
representations, and consider a reproducible experimental setup covering
several data sets.},
  author       = {Locatello, Francesco and Bauer, Stefan and Lucic, Mario and Rätsch, Gunnar and Gelly, Sylvain and Schölkopf, Bernhard and Bachem, Olivier},
  booktitle    = {Proceedings of the 36th International Conference on Machine Learning},
  location     = {Long Beach, CA, United States},
  pages        = {4114--4124},
  publisher    = {ML Research Press},
  title        = {{Challenging common assumptions in the unsupervised learning of disentangled representations}},
  volume       = {97},
  year         = {2019},
}

@article{151,
  abstract     = {We construct planar bi-Sobolev mappings whose local volume distortion is bounded from below by a given function f∈Lp with p&gt;1. More precisely, for any 1&lt;q&lt;(p+1)/2 we construct W1,q-bi-Sobolev maps with identity boundary conditions; for f∈L∞, we provide bi-Lipschitz maps. The basic building block of our construction are bi-Lipschitz maps which stretch a given compact subset of the unit square by a given factor while preserving the boundary. The construction of these stretching maps relies on a slight strengthening of the celebrated covering result of Alberti, Csörnyei, and Preiss for measurable planar sets in the case of compact sets. We apply our result to a model functional in nonlinear elasticity, the integrand of which features fast blowup as the Jacobian determinant of the deformation becomes small. For such functionals, the derivation of the equilibrium equations for minimizers requires an additional regularization of test functions, which our maps provide.},
  author       = {Fischer, Julian L and Kneuss, Olivier},
  journal      = {Journal of Differential Equations},
  number       = {1},
  pages        = {257 -- 311},
  publisher    = {Elsevier},
  title        = {{Bi-Sobolev solutions to the prescribed Jacobian inequality in the plane with L p data and applications to nonlinear elasticity}},
  doi          = {10.1016/j.jde.2018.07.045},
  volume       = {266},
  year         = {2019},
}

@article{196,
  abstract     = {The abelian sandpile serves as a model to study self-organized criticality, a phenomenon occurring in biological, physical and social processes. The identity of the abelian group is a fractal composed of self-similar patches, and its limit is subject of extensive collaborative research. Here, we analyze the evolution of the sandpile identity under harmonic fields of different orders. We show that this evolution corresponds to periodic cycles through the abelian group characterized by the smooth transformation and apparent conservation of the patches constituting the identity. The dynamics induced by second and third order harmonics resemble smooth stretchings, respectively translations, of the identity, while the ones induced by fourth order harmonics resemble magnifications and rotations. Starting with order three, the dynamics pass through extended regions of seemingly random configurations which spontaneously reassemble into accentuated patterns. We show that the space of harmonic functions projects to the extended analogue of the sandpile group, thus providing a set of universal coordinates identifying configurations between different domains. Since the original sandpile group is a subgroup of the extended one, this directly implies that it admits a natural renormalization. Furthermore, we show that the harmonic fields can be induced by simple Markov processes, and that the corresponding stochastic dynamics show remarkable robustness over hundreds of periods. Finally, we encode information into seemingly random configurations, and decode this information with an algorithm requiring minimal prior knowledge. Our results suggest that harmonic fields might split the sandpile group into sub-sets showing different critical coefficients, and that it might be possible to extend the fractal structure of the identity beyond the boundaries of its domain. },
  author       = {Lang, Moritz and Shkolnikov, Mikhail},
  issn         = {1091-6490},
  journal      = {Proceedings of the National Academy of Sciences of the United States of America},
  number       = {8},
  pages        = {2821--2830},
  publisher    = {National Academy of Sciences},
  title        = {{Harmonic dynamics of the Abelian sandpile}},
  doi          = {10.1073/pnas.1812015116},
  volume       = {116},
  year         = {2019},
}

@article{441,
  author       = {Kalinin, Nikita and Shkolnikov, Mikhail},
  issn         = {2199-6768},
  journal      = {European Journal of Mathematics},
  number       = {3},
  pages        = {909–928},
  publisher    = {Springer Nature},
  title        = {{Tropical formulae for summation over a part of SL(2,Z)}},
  doi          = {10.1007/s40879-018-0218-0},
  volume       = {5},
  year         = {2019},
}

@article{5,
  abstract     = {In this paper, we introduce a quantum version of the wonderful compactification of a group as a certain noncommutative projective scheme. Our approach stems from the fact that the wonderful compactification encodes the asymptotics of matrix coefficients, and from its realization as a GIT quotient of the Vinberg semigroup. In order to define the wonderful compactification for a quantum group, we adopt a generalized formalism of Proj categories in the spirit of Artin and Zhang. Key to our construction is a quantum version of the Vinberg semigroup, which we define as a q-deformation of a certain Rees algebra, compatible with a standard Poisson structure. Furthermore, we discuss quantum analogues of the stratification of the wonderful compactification by orbits for a certain group action, and provide explicit computations in the case of SL2.},
  author       = {Ganev, Iordan V},
  journal      = {Journal of the London Mathematical Society},
  number       = {3},
  pages        = {778--806},
  publisher    = {Wiley},
  title        = {{The wonderful compactification for quantum groups}},
  doi          = {10.1112/jlms.12193},
  volume       = {99},
  year         = {2019},
}

@article{5789,
  abstract     = {Tissue morphogenesis is driven by mechanical forces that elicit changes in cell size, shape and motion. The extent by which forces deform tissues critically depends on the rheological properties of the recipient tissue. Yet, whether and how dynamic changes in tissue rheology affect tissue morphogenesis and how they are regulated within the developing organism remain unclear. Here, we show that blastoderm spreading at the onset of zebrafish morphogenesis relies on a rapid, pronounced and spatially patterned tissue fluidization. Blastoderm fluidization is temporally controlled by mitotic cell rounding-dependent cell–cell contact disassembly during the last rounds of cell cleavages. Moreover, fluidization is spatially restricted to the central blastoderm by local activation of non-canonical Wnt signalling within the blastoderm margin, increasing cell cohesion and thereby counteracting the effect of mitotic rounding on contact disassembly. Overall, our results identify a fluidity transition mediated by loss of cell cohesion as a critical regulator of embryo morphogenesis.},
  author       = {Petridou, Nicoletta and Grigolon, Silvia and Salbreux, Guillaume and Hannezo, Edouard B and Heisenberg, Carl-Philipp J},
  issn         = {1465-7392},
  journal      = {Nature Cell Biology},
  pages        = {169–178},
  publisher    = {Nature Publishing Group},
  title        = {{Fluidization-mediated tissue spreading by mitotic cell rounding and non-canonical Wnt signalling}},
  doi          = {10.1038/s41556-018-0247-4},
  volume       = {21},
  year         = {2019},
}

@article{5790,
  abstract     = {The partial representation extension problem is a recently introduced generalization of the recognition problem. A circle graph is an intersection graph of chords of a circle. We study the partial representation extension problem for circle graphs, where the input consists of a graph G and a partial representation R′ giving some predrawn chords that represent an induced subgraph of G. The question is whether one can extend R′ to a representation R of the entire graph G, that is, whether one can draw the remaining chords into a partially predrawn representation to obtain a representation of G. Our main result is an O(n3) time algorithm for partial representation extension of circle graphs, where n is the number of vertices. To show this, we describe the structure of all representations of a circle graph using split decomposition. This can be of independent interest.},
  author       = {Chaplick, Steven and Fulek, Radoslav and Klavík, Pavel},
  issn         = {0364-9024},
  journal      = {Journal of Graph Theory},
  number       = {4},
  pages        = {365--394},
  publisher    = {Wiley},
  title        = {{Extending partial representations of circle graphs}},
  doi          = {10.1002/jgt.22436},
  volume       = {91},
  year         = {2019},
}

@inbook{5793,
  abstract     = {The transcription coactivator, Yes-associated protein (YAP), which is a nuclear effector of the Hippo signaling pathway, has been shown to be a mechano-transducer. By using mutant fish and human 3D spheroids, we have recently demonstrated that YAP is also a mechano-effector. YAP functions in three-dimensional (3D) morphogenesis of organ and global body shape by controlling actomyosin-mediated tissue tension. In this chapter, we present a platform that links the findings in fish embryos with human cells. The protocols for analyzing tissue tension-mediated global body shape/organ morphogenesis in vivo and ex vivo using medaka fish embryos and in vitro using human cell spheroids represent useful tools for unraveling the molecular mechanisms by which YAP functions in regulating global body/organ morphogenesis.},
  author       = {Asaoka, Yoichi and Morita, Hitoshi and Furumoto, Hiroko and Heisenberg, Carl-Philipp J and Furutani-Seiki, Makoto},
  booktitle    = {The hippo pathway},
  editor       = {Hergovich, Alexander},
  isbn         = {978-1-4939-8909-6},
  pages        = {167--181},
  publisher    = {Springer},
  title        = {{Studying YAP-mediated 3D morphogenesis using fish embryos and human spheroids}},
  doi          = {10.1007/978-1-4939-8910-2_14},
  volume       = {1893},
  year         = {2019},
}

@article{5817,
  abstract     = {We theoretically study the shapes of lipid vesicles confined to a spherical cavity, elaborating a framework based on the so-called limiting shapes constructed from geometrically simple structural elements such as double-membrane walls and edges. Partly inspired by numerical results, the proposed non-compartmentalized and compartmentalized limiting shapes are arranged in the bilayer-couple phase diagram which is then compared to its free-vesicle counterpart. We also compute the area-difference-elasticity phase diagram of the limiting shapes and we use it to interpret shape transitions experimentally observed in vesicles confined within another vesicle. The limiting-shape framework may be generalized to theoretically investigate the structure of certain cell organelles such as the mitochondrion.},
  author       = {Kavcic, Bor and Sakashita, A. and Noguchi, H. and Ziherl, P.},
  issn         = {1744-6848},
  journal      = {Soft Matter},
  number       = {4},
  pages        = {602--614},
  publisher    = {Royal Society of Chemistry},
  title        = {{Limiting shapes of confined lipid vesicles}},
  doi          = {10.1039/c8sm01956h},
  volume       = {15},
  year         = {2019},
}

@article{5828,
  abstract     = {Hippocampus is needed for both spatial working and reference memories. Here, using a radial eight-arm maze, we examined how the combined demand on these memories influenced CA1 place cell assemblies while reference memories were partially updated. This was contrasted with control tasks requiring only working memory or the update of reference memory. Reference memory update led to the reward-directed place field shifts at newly rewarded arms and to the gradual strengthening of firing in passes between newly rewarded arms but not between those passes that included a familiar-rewarded arm. At the maze center, transient network synchronization periods preferentially replayed trajectories of the next chosen arm in reference memory tasks but the previously visited arm in the working memory task. Hence, reference memory demand was uniquely associated with a gradual, goal novelty-related reorganization of place cell assemblies and with trajectory replay that reflected the animal's decision of which arm to visit next.},
  author       = {Xu, Haibing and Baracskay, Peter and O'Neill, Joseph and Csicsvari, Jozsef L},
  issn         = {1097-4199},
  journal      = {Neuron},
  number       = {1},
  pages        = {119--132.e4},
  publisher    = {Elsevier},
  title        = {{Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze}},
  doi          = {10.1016/j.neuron.2018.11.015},
  volume       = {101},
  year         = {2019},
}

@article{5830,
  abstract     = {CLE peptides have been implicated in various developmental processes of plants and mediate their responses to environmental stimuli. However, the biological relevance of most CLE genes remains to be functionally characterized. Here, we report that CLE9, which is expressed in stomata, acts as an essential regulator in the induction of stomatal closure. Exogenous application of CLE9 peptides or overexpression of CLE9 effectively led to stomatal closure and enhanced drought tolerance, whereas CLE9 loss-of-function mutants were sensitivity to drought stress. CLE9-induced stomatal closure was impaired in abscisic acid (ABA)-deficient mutants, indicating that ABA is required for CLE9-medaited guard cell signalling. We further deciphered that two guard cell ABA-signalling components, OST1 and SLAC1, were responsible for CLE9-induced stomatal closure. MPK3 and MPK6 were activated by the CLE9 peptide, and CLE9 peptides failed to close stomata in mpk3 and mpk6 mutants. In addition, CLE9 peptides stimulated the induction of hydrogen peroxide (H2O2) and nitric oxide (NO) synthesis associated with stomatal closure, which was abolished in the NADPH oxidase-deficient mutants or nitric reductase mutants, respectively. Collectively, our results reveal a novel ABA-dependent function of CLE9 in the regulation of stomatal apertures, thereby suggesting a potential role of CLE9 in the stress acclimatization of plants.},
  author       = {Zhang, Luosha and Shi, Xiong and Zhang, Yutao and Wang, Jiajing and Yang, Jingwei and Ishida, Takashi and Jiang, Wenqian and Han, Xiangyu and Kang, Jingke and Wang, Xuening and Pan, Lixia and Lv, Shuo and Cao, Bing and Zhang, Yonghong and Wu, Jinbin and Han, Huibin and Hu, Zhubing and Cui, Langjun and Sawa, Shinichiro and He, Junmin and Wang, Guodong},
  issn         = {0140-7791},
  journal      = {Plant Cell and Environment},
  number       = {3},
  pages        = {1033--1044},
  publisher    = {Wiley},
  title        = {{CLE9 peptide-induced stomatal closure is mediated by abscisic acid, hydrogen peroxide, and nitric oxide in arabidopsis thaliana}},
  doi          = {10.1111/pce.13475},
  volume       = {42},
  year         = {2019},
}

