@inproceedings{646,
  abstract     = {We present a novel convex relaxation and a corresponding inference algorithm for the non-binary discrete tomography problem, that is, reconstructing discrete-valued images from few linear measurements. In contrast to state of the art approaches that split the problem into a continuous reconstruction problem for the linear measurement constraints and a discrete labeling problem to enforce discrete-valued reconstructions, we propose a joint formulation that addresses both problems simultaneously, resulting in a tighter convex relaxation. For this purpose a constrained graphical model is set up and evaluated using a novel relaxation optimized by dual decomposition. We evaluate our approach experimentally and show superior solutions both mathematically (tighter relaxation) and experimentally in comparison to previously proposed relaxations.},
  author       = {Kuske, Jan and Swoboda, Paul and Petra, Stefanie},
  editor       = {Lauze, François and Dong, Yiqiu and Bjorholm Dahl, Anders},
  isbn         = {978-331958770-7},
  location     = {Kolding, Denmark},
  pages        = {235 -- 246},
  publisher    = {Springer},
  title        = {{A novel convex relaxation for non binary discrete tomography}},
  doi          = {10.1007/978-3-319-58771-4_19},
  volume       = {10302},
  year         = {2017},
}

@inproceedings{647,
  abstract     = {Despite researchers’ efforts in the last couple of decades, reachability analysis is still a challenging problem even for linear hybrid systems. Among the existing approaches, the most practical ones are mainly based on bounded-time reachable set over-approximations. For the purpose of unbounded-time analysis, one important strategy is to abstract the original system and find an invariant for the abstraction. In this paper, we propose an approach to constructing a new kind of abstraction called conic abstraction for affine hybrid systems, and to computing reachable sets based on this abstraction. The essential feature of a conic abstraction is that it partitions the state space of a system into a set of convex polyhedral cones which is derived from a uniform conic partition of the derivative space. Such a set of polyhedral cones is able to cut all trajectories of the system into almost straight segments so that every segment of a reach pipe in a polyhedral cone tends to be straight as well, and hence can be over-approximated tightly by polyhedra using similar techniques as HyTech or PHAVer. In particular, for diagonalizable affine systems, our approach can guarantee to find an invariant for unbounded reachable sets, which is beyond the capability of bounded-time reachability analysis tools. We implemented the approach in a tool and experiments on benchmarks show that our approach is more powerful than SpaceEx and PHAVer in dealing with diagonalizable systems.},
  author       = {Bogomolov, Sergiy and Giacobbe, Mirco and Henzinger, Thomas A and Kong, Hui},
  isbn         = {978-331965764-6},
  location     = {Berlin, Germany},
  pages        = {116 -- 132},
  publisher    = {Springer},
  title        = {{Conic abstractions for hybrid systems}},
  doi          = {10.1007/978-3-319-65765-3_7},
  volume       = {10419 },
  year         = {2017},
}

@inproceedings{648,
  abstract     = {Pseudoentropy has found a lot of important applications to cryptography and complexity theory. In this paper we focus on the foundational problem that has not been investigated so far, namely by how much pseudoentropy (the amount seen by computationally bounded attackers) differs from its information-theoretic counterpart (seen by unbounded observers), given certain limits on attacker’s computational power? We provide the following answer for HILL pseudoentropy, which exhibits a threshold behavior around the size exponential in the entropy amount:– If the attacker size (s) and advantage () satisfy s (formula presented) where k is the claimed amount of pseudoentropy, then the pseudoentropy boils down to the information-theoretic smooth entropy. – If s (formula presented) then pseudoentropy could be arbitrarily bigger than the information-theoretic smooth entropy. Besides answering the posted question, we show an elegant application of our result to the complexity theory, namely that it implies the clas-sical result on the existence of functions hard to approximate (due to Pippenger). In our approach we utilize non-constructive techniques: the duality of linear programming and the probabilistic method.},
  author       = {Skórski, Maciej},
  editor       = {Jäger, Gerhard and Steila, Silvia},
  isbn         = {978-331955910-0},
  location     = {Bern, Switzerland},
  pages        = {600 -- 613},
  publisher    = {Springer},
  title        = {{On the complexity of breaking pseudoentropy}},
  doi          = {10.1007/978-3-319-55911-7_43},
  volume       = {10185},
  year         = {2017},
}

@inbook{649,
  abstract     = {We give a short overview on a recently developed notion of Ricci curvature for discrete spaces. This notion relies on geodesic convexity properties of the relative entropy along geodesics in the space of probability densities, for a metric which is similar to (but different from) the 2-Wasserstein metric. The theory can be considered as a discrete counterpart to the theory of Ricci curvature for geodesic measure spaces developed by Lott–Sturm–Villani.},
  author       = {Maas, Jan},
  booktitle    = {Modern Approaches to Discrete Curvature},
  editor       = {Najman, Laurent and Romon, Pascal},
  isbn         = {978-3-319-58001-2},
  issn         = {978-3-319-58002-9},
  pages        = {159 -- 174},
  publisher    = {Springer},
  title        = {{Entropic Ricci curvature for discrete spaces}},
  doi          = {10.1007/978-3-319-58002-9_5},
  volume       = {2184},
  year         = {2017},
}

@inproceedings{650,
  abstract     = {In this work we present a short and unified proof for the Strong and Weak Regularity Lemma, based on the cryptographic tech-nique called low-complexity approximations. In short, both problems reduce to a task of finding constructively an approximation for a certain target function under a class of distinguishers (test functions), where dis-tinguishers are combinations of simple rectangle-indicators. In our case these approximations can be learned by a simple iterative procedure, which yields a unified and simple proof, achieving for any graph with density d and any approximation parameter the partition size. The novelty in our proof is: (a) a simple approach which yields both strong and weaker variant, and (b) improvements when d = o(1). At an abstract level, our proof can be seen a refinement and simplification of the “analytic” proof given by Lovasz and Szegedy.},
  author       = {Skórski, Maciej},
  editor       = {Jäger, Gerhard and Steila, Silvia},
  issn         = {03029743},
  location     = {Bern, Switzerland},
  pages        = {586 -- 599},
  publisher    = {Springer},
  title        = {{A cryptographic view of regularity lemmas: Simpler unified proofs and refined bounds}},
  doi          = {10.1007/978-3-319-55911-7_42},
  volume       = {10185},
  year         = {2017},
}

@article{651,
  abstract     = {Superhydrophobic surfaces reduce the frictional drag between water and solid materials, but this effect is often temporary. The realization of sustained drag reduction has applications for water vehicles and pipeline flows.

},
  author       = {Hof, Björn},
  issn         = {00280836},
  journal      = {Nature},
  number       = {7636},
  pages        = {161 -- 162},
  publisher    = {Nature Publishing Group},
  title        = {{Fluid dynamics: Water flows out of touch}},
  doi          = {10.1038/541161a},
  volume       = {541},
  year         = {2017},
}

@inproceedings{6517,
  abstract     = {A (possibly degenerate) drawing of a graph G in the plane is approximable by an embedding if it can be turned into an embedding by an arbitrarily small perturbation. We show that testing, whether a drawing of a planar graph G in the plane is approximable by an embedding, can be carried out in polynomial time, if a desired embedding of G belongs to a fixed isotopy class, i.e., the rotation system (or equivalently the faces) of the embedding of G and the choice of outer face are fixed. In other words, we show that c-planarity with embedded pipes is tractable for graphs with fixed embeddings. To the best of our knowledge an analogous result was previously known essentially only when G is a cycle.},
  author       = {Fulek, Radoslav},
  location     = {Phuket, Thailand},
  publisher    = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
  title        = {{Embedding graphs into embedded graphs}},
  doi          = {10.4230/LIPICS.ISAAC.2017.34},
  volume       = {92},
  year         = {2017},
}

@inproceedings{6519,
  abstract     = {Graph games with omega-regular winning conditions provide a mathematical framework to analyze a wide range of problems in the analysis of reactive systems and programs (such as the synthesis of reactive systems, program repair, and the verification of branching time properties). Parity conditions are canonical forms to specify omega-regular winning conditions. Graph games with parity conditions are equivalent to mu-calculus model checking, and thus a very important algorithmic problem. Symbolic algorithms are of great significance because they provide scalable algorithms for the analysis of large finite-state systems, as well as algorithms for the analysis of infinite-state systems with finite quotient. A set-based symbolic algorithm uses the basic set operations and the one-step predecessor operators. We consider graph games with n vertices and parity conditions with c priorities (equivalently, a mu-calculus formula with c alternations of least and greatest fixed points). While many explicit algorithms exist for graph games with parity conditions, for set-based symbolic algorithms there are only two algorithms (notice that we use space to refer to the number of sets stored by a symbolic algorithm): (a) the basic algorithm that requires O(n^c) symbolic operations and linear space; and (b) an improved algorithm that requires O(n^{c/2+1}) symbolic operations but also O(n^{c/2+1}) space (i.e., exponential space). In this work we present two set-based symbolic algorithms for parity games: (a) our first algorithm requires O(n^{c/2+1}) symbolic operations and only requires linear space; and (b) developing on our first algorithm, we present an algorithm that requires O(n^{c/3+1}) symbolic operations and only linear space. We also present the first linear space set-based symbolic algorithm for parity games that requires at most a sub-exponential number of symbolic operations. },
  author       = {Chatterjee, Krishnendu and Dvorák, Wolfgang and Henzinger, Monika H and Loitzenbauer, Veronika},
  location     = {Stockholm, Sweden},
  publisher    = {Schloss Dagstuhl -Leibniz-Zentrum fuer Informatik},
  title        = {{Improved set-based symbolic algorithms for parity games}},
  doi          = {10.4230/LIPICS.CSL.2017.18},
  volume       = {82},
  year         = {2017},
}

@inproceedings{652,
  abstract     = {We present an approach that enables robots to self-organize their sensorimotor behavior from scratch without providing specific information about neither the robot nor its environment. This is achieved by a simple neural control law that increases the consistency between external sensor dynamics and internal neural dynamics of the utterly simple controller. In this way, the embodiment and the agent-environment coupling are the only source of individual development. We show how an anthropomorphic tendon driven arm-shoulder system develops different behaviors depending on that coupling. For instance: Given a bottle half-filled with water, the arm starts to shake it, driven by the physical response of the water. When attaching a brush, the arm can be manipulated into wiping a table, and when connected to a revolvable wheel it finds out how to rotate it. Thus, the robot may be said to discover the affordances of the world. When allowing two (simulated) humanoid robots to interact physically, they engage into a joint behavior development leading to, for instance, spontaneous cooperation. More social effects are observed if the robots can visually perceive each other. Although, as an observer, it is tempting to attribute an apparent intentionality, there is nothing of the kind put in. As a conclusion, we argue that emergent behavior may be much less rooted in explicit intentions, internal motivations, or specific reward systems than is commonly believed.},
  author       = {Der, Ralf and Martius, Georg S},
  isbn         = {978-150905069-7},
  location     = {Cergy-Pontoise, France},
  publisher    = {IEEE},
  title        = {{Dynamical self consistency leads to behavioral development and emergent social interactions in robots}},
  doi          = {10.1109/DEVLRN.2016.7846789},
  year         = {2017},
}

@inproceedings{6526,
  abstract     = {This paper studies the complexity of estimating Rényi divergences of discrete distributions: p observed from samples and the baseline distribution q known a priori. Extending the results of Acharya et al. (SODA'15) on estimating Rényi entropy, we present improved estimation techniques together with upper and lower bounds on the sample complexity. We show that, contrarily to estimating Rényi entropy where a sublinear (in the alphabet size) number of samples suffices, the sample complexity is heavily dependent on events occurring unlikely in q, and is unbounded in general (no matter what an estimation technique is used). For any divergence of integer order bigger than 1, we provide upper and lower bounds on the number of samples dependent on probabilities of p and q (the lower bounds hold for non-integer orders as well). We conclude that the worst-case sample complexity is polynomial in the alphabet size if and only if the probabilities of q are non-negligible. This gives theoretical insights into heuristics used in the applied literature to handle numerical instability, which occurs for small probabilities of q. Our result shows that they should be handled with care not only because of numerical issues, but also because of a blow up in the sample complexity.},
  author       = {Skórski, Maciej},
  booktitle    = {2017 IEEE International Symposium on Information Theory (ISIT)},
  isbn         = {9781509040964},
  location     = {Aachen, Germany},
  publisher    = {IEEE},
  title        = {{On the complexity of estimating Rènyi divergences}},
  doi          = {10.1109/isit.2017.8006529},
  year         = {2017},
}

@inproceedings{6527,
  abstract     = {A memory-hard function (MHF) ƒn with parameter n can be computed in sequential time and space n. Simultaneously, a high amortized parallel area-time complexity (aAT) is incurred per evaluation. In practice, MHFs are used to limit the rate at which an adversary (using a custom computational device) can evaluate a security sensitive function that still occasionally needs to be evaluated by honest users (using an off-the-shelf general purpose device). The most prevalent examples of such sensitive functions are Key Derivation Functions (KDFs) and password hashing algorithms where rate limits help mitigate off-line dictionary attacks. As the honest users' inputs to these functions are often (low-entropy) passwords special attention is given to a class of side-channel resistant MHFs called iMHFs.

Essentially all iMHFs can be viewed as some mode of operation (making n calls to some round function) given by a directed acyclic graph (DAG) with very low indegree. Recently, a combinatorial property of a DAG has been identified (called "depth-robustness") which results in good provable security for an iMHF based on that DAG. Depth-robust DAGs have also proven useful in other cryptographic applications. Unfortunately, up till now, all known very depth-robust DAGs are impractically complicated and little is known about their exact (i.e. non-asymptotic) depth-robustness both in theory and in practice.

In this work we build and analyze (both formally and empirically) several exceedingly simple and efficient to navigate practical DAGs for use in iMHFs and other applications. For each DAG we:
*Prove that their depth-robustness is asymptotically maximal.
*Prove bounds of at least 3 orders of magnitude better on their exact depth-robustness compared to known bounds for other practical iMHF.
*Implement and empirically evaluate their depth-robustness and aAT against a variety of state-of-the art (and several new) depth-reduction and low aAT attacks. 
We find that, against all attacks, the new DAGs perform significantly better in practice than Argon2i, the most widely deployed iMHF in practice.

Along the way we also improve the best known empirical attacks on the aAT of Argon2i by implementing and testing several heuristic versions of a (hitherto purely theoretical) depth-reduction attack. Finally, we demonstrate practicality of our constructions by modifying the Argon2i code base to use one of the new high aAT DAGs. Experimental benchmarks on a standard off-the-shelf CPU show that the new modifications do not adversely affect the impressive throughput of Argon2i (despite seemingly enjoying significantly higher aAT).
},
  author       = {Alwen, Joel F and Blocki, Jeremiah and Harsha, Ben},
  booktitle    = {Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security},
  isbn         = {9781450349468},
  location     = {Dallas, TX, USA},
  pages        = {1001--1017},
  publisher    = {ACM Press},
  title        = {{Practical graphs for optimal side-channel resistant memory-hard functions}},
  doi          = {10.1145/3133956.3134031},
  year         = {2017},
}

@article{653,
  abstract     = {The extent of heterogeneity among driver gene mutations present in naturally occurring metastases - that is, treatment-naive metastatic disease - is largely unknown. To address this issue, we carried out 60× whole-genome sequencing of 26 metastases from four patients with pancreatic cancer. We found that identical mutations in known driver genes were present in every metastatic lesion for each patient studied. Passenger gene mutations, which do not have known or predicted functional consequences, accounted for all intratumoral heterogeneity. Even with respect to these passenger mutations, our analysis suggests that the genetic similarity among the founding cells of metastases was higher than that expected for any two cells randomly taken from a normal tissue. The uniformity of known driver gene mutations among metastases in the same patient has critical and encouraging implications for the success of future targeted therapies in advanced-stage disease.},
  author       = {Makohon Moore, Alvin and Zhang, Ming and Reiter, Johannes and Božić, Ivana and Allen, Benjamin and Kundu, Deepanjan and Chatterjee, Krishnendu and Wong, Fay and Jiao, Yuchen and Kohutek, Zachary and Hong, Jungeui and Attiyeh, Marc and Javier, Breanna and Wood, Laura and Hruban, Ralph and Nowak, Martin and Papadopoulos, Nickolas and Kinzler, Kenneth and Vogelstein, Bert and Iacobuzio Donahue, Christine},
  issn         = {10614036},
  journal      = {Nature Genetics},
  number       = {3},
  pages        = {358 -- 366},
  publisher    = {Nature Publishing Group},
  title        = {{Limited heterogeneity of known driver gene mutations among the metastases of individual patients with pancreatic cancer}},
  doi          = {10.1038/ng.3764},
  volume       = {49},
  year         = {2017},
}

@article{654,
  abstract     = {In November 2016, developmental biologists, synthetic biologists and engineers gathered in Paris for a meeting called ‘Engineering the embryo’. The participants shared an interest in exploring how synthetic systems can reveal new principles of embryonic development, and how the in vitro manipulation and modeling of development using stem cells can be used to integrate ideas and expertise from physics, developmental biology and tissue engineering. As we review here, the conference pinpointed some of the challenges arising at the intersection of these fields, along with great enthusiasm for finding new approaches and collaborations.},
  author       = {Kicheva, Anna and Rivron, Nicolas},
  issn         = {09501991},
  journal      = {Development},
  number       = {5},
  pages        = {733 -- 736},
  publisher    = {Company of Biologists},
  title        = {{Creating to understand – developmental biology meets engineering in Paris}},
  doi          = {10.1242/dev.144915},
  volume       = {144},
  year         = {2017},
}

@article{655,
  abstract     = {The bacterial flagellum is a self-assembling nanomachine. The external flagellar filament, several times longer than a bacterial cell body, is made of a few tens of thousands subunits of a single protein: flagellin. A fundamental problem concerns the molecular mechanism of how the flagellum grows outside the cell, where no discernible energy source is available. Here, we monitored the dynamic assembly of individual flagella using in situ labelling and real-time immunostaining of elongating flagellar filaments. We report that the rate of flagellum growth, initially ~1,700 amino acids per second, decreases with length and that the previously proposed chain mechanism does not contribute to the filament elongation dynamics. Inhibition of the proton motive force-dependent export apparatus revealed a major contribution of substrate injection in driving filament elongation. The combination of experimental and mathematical evidence demonstrates that a simple, injection-diffusion mechanism controls bacterial flagella growth outside the cell.},
  author       = {Renault, Thibaud and Abraham, Anthony and Bergmiller, Tobias and Paradis, Guillaume and Rainville, Simon and Charpentier, Emmanuelle and Guet, Calin C and Tu, Yuhai and Namba, Keiichi and Keener, James and Minamino, Tohru and Erhardt, Marc},
  issn         = {2050084X},
  journal      = {eLife},
  publisher    = {eLife Sciences Publications},
  title        = {{Bacterial flagella grow through an injection diffusion mechanism}},
  doi          = {10.7554/eLife.23136},
  volume       = {6},
  year         = {2017},
}

@article{656,
  abstract     = {Human neurons transplanted into a mouse model for Alzheimer’s disease show human-specific vulnerability to β-amyloid plaques and may help to identify new therapeutic targets.},
  author       = {Novarino, Gaia},
  issn         = {19466234},
  journal      = {Science Translational Medicine},
  number       = {381},
  publisher    = {American Association for the Advancement of Science},
  title        = {{Modeling Alzheimer's disease in mice with human neurons}},
  doi          = {10.1126/scitranslmed.aam9867},
  volume       = {9},
  year         = {2017},
}

@article{657,
  abstract     = {Plant organs are typically organized into three main tissue layers. The middle ground tissue layer comprises the majority of the plant body and serves a wide range of functions, including photosynthesis, selective nutrient uptake and storage, and gravity sensing. Ground tissue patterning and maintenance in Arabidopsis are controlled by a well-established gene network revolving around the key regulator SHORT-ROOT (SHR). In contrast, it is completely unknown how ground tissue identity is first specified from totipotent precursor cells in the embryo. The plant signaling molecule auxin, acting through AUXIN RESPONSE FACTOR (ARF) transcription factors, is critical for embryo patterning. The auxin effector ARF5/MONOPTEROS (MP) acts both cell-autonomously and noncell-autonomously to control embryonic vascular tissue formation and root initiation, respectively. Here we show that auxin response and ARF activity cell-autonomously control the asymmetric division of the first ground tissue cells. By identifying embryonic target genes, we show that MP transcriptionally initiates the ground tissue lineage and acts upstream of the regulatory network that controls ground tissue patterning and maintenance. Strikingly, whereas the SHR network depends on MP, this MP function is, at least in part, SHR independent. Our study therefore identifies auxin response as a regulator of ground tissue specification in the embryonic root, and reveals that ground tissue initiation and maintenance use different regulators and mechanisms. Moreover, our data provide a framework for the simultaneous formation of multiple cell types by the same transcriptional regulator.},
  author       = {Möller, Barbara and Ten Hove, Colette and Xiang, Daoquan and Williams, Nerys and López, Lorena and Yoshida, Saiko and Smit, Margot and Datla, Raju and Weijers, Dolf},
  issn         = {00278424},
  journal      = {PNAS},
  number       = {12},
  pages        = {E2533 -- E2539},
  publisher    = {National Academy of Sciences},
  title        = {{Auxin response cell autonomously controls ground tissue initiation in the early arabidopsis embryo}},
  doi          = {10.1073/pnas.1616493114},
  volume       = {114},
  year         = {2017},
}

@article{658,
  abstract     = {With the accelerated development of robot technologies, control becomes one of the central themes of research. In traditional approaches, the controller, by its internal functionality, finds appropriate actions on the basis of specific objectives for the task at hand. While very successful in many applications, self-organized control schemes seem to be favored in large complex systems with unknown dynamics or which are difficult to model. Reasons are the expected scalability, robustness, and resilience of self-organizing systems. The paper presents a self-learning neurocontroller based on extrinsic differential plasticity introduced recently, applying it to an anthropomorphic musculoskeletal robot arm with attached objects of unknown physical dynamics. The central finding of the paper is the following effect: by the mere feedback through the internal dynamics of the object, the robot is learning to relate each of the objects with a very specific sensorimotor pattern. Specifically, an attached pendulum pilots the arm into a circular motion, a half-filled bottle produces axis oriented shaking behavior, a wheel is getting rotated, and wiping patterns emerge automatically in a table-plus-brush setting. By these object-specific dynamical patterns, the robot may be said to recognize the object's identity, or in other words, it discovers dynamical affordances of objects. Furthermore, when including hand coordinates obtained from a camera, a dedicated hand-eye coordination self-organizes spontaneously. These phenomena are discussed from a specific dynamical system perspective. Central is the dedicated working regime at the border to instability with its potentially infinite reservoir of (limit cycle) attractors "waiting" to be excited. Besides converging toward one of these attractors, variate behavior is also arising from a self-induced attractor morphing driven by the learning rule. We claim that experimental investigations with this anthropomorphic, self-learning robot not only generate interesting and potentially useful behaviors, but may also help to better understand what subjective human muscle feelings are, how they can be rooted in sensorimotor patterns, and how these concepts may feed back on robotics.},
  author       = {Der, Ralf and Martius, Georg S},
  issn         = {16625218},
  journal      = {Frontiers in Neurorobotics},
  number       = {MAR},
  publisher    = {Frontiers Research Foundation},
  title        = {{Self organized behavior generation for musculoskeletal robots}},
  doi          = {10.3389/fnbot.2017.00008},
  volume       = {11},
  year         = {2017},
}

@article{659,
  abstract     = {Migration frequently involves Rac-mediated protrusion of lamellipodia, formed by Arp2/3 complex-dependent branching thought to be crucial for force generation and stability of these networks. The formins FMNL2 and FMNL3 are Cdc42 effectors targeting to the lamellipodium tip and shown here to nucleate and elongate actin filaments with complementary activities in vitro. In migrating B16-F1 melanoma cells, both formins contribute to the velocity of lamellipodium protrusion. Loss of FMNL2/3 function in melanoma cells and fibroblasts reduces lamellipodial width, actin filament density and -bundling, without changing patterns of Arp2/3 complex incorporation. Strikingly, in melanoma cells, FMNL2/3 gene inactivation almost completely abolishes protrusion forces exerted by lamellipodia and modifies their ultrastructural organization. Consistently, CRISPR/Cas-mediated depletion of FMNL2/3 in fibroblasts reduces both migration and capability of cells to move against viscous media. Together, we conclude that force generation in lamellipodia strongly depends on FMNL formin activity, operating in addition to Arp2/3 complex-dependent filament branching.},
  author       = {Kage, Frieda and Winterhoff, Moritz and Dimchev, Vanessa and Müller, Jan and Thalheim, Tobias and Freise, Anika and Brühmann, Stefan and Kollasser, Jana and Block, Jennifer and Dimchev, Georgi A and Geyer, Matthias and Schnittler, Hams and Brakebusch, Cord and Stradal, Theresia and Carlier, Marie and Sixt, Michael K and Käs, Josef and Faix, Jan and Rottner, Klemens},
  issn         = {20411723},
  journal      = {Nature Communications},
  publisher    = {Nature Publishing Group},
  title        = {{FMNL formins boost lamellipodial force generation}},
  doi          = {10.1038/ncomms14832},
  volume       = {8},
  year         = {2017},
}

@article{660,
  abstract     = {Growing microtubules are protected from depolymerization by the presence of a GTP or GDP/Pi cap. End-binding proteins of the EB1 family bind to the stabilizing cap, allowing monitoring of its size in real time. The cap size has been shown to correlate with instantaneous microtubule stability. Here we have quantitatively characterized the properties of cap size fluctuations during steadystate growth and have developed a theory predicting their timescale and amplitude from the kinetics of microtubule growth and cap maturation. In contrast to growth speed fluctuations, cap size fluctuations show a characteristic timescale, which is defined by the lifetime of the cap sites. Growth fluctuations affect the amplitude of cap size fluctuations; however, cap size does not affect growth speed, indicating that microtubules are far from instability during most of their time of growth. Our theory provides the basis for a quantitative understanding of microtubule stability fluctuations during steady-state growth.},
  author       = {Rickman, Jamie and Düllberg, Christian F and Cade, Nicholas and Griffin, Lewis and Surrey, Thomas},
  issn         = {00278424},
  journal      = {PNAS},
  number       = {13},
  pages        = {3427 -- 3432},
  publisher    = {National Academy of Sciences},
  title        = {{Steady state EB cap size fluctuations are determined by stochastic microtubule growth and maturation}},
  doi          = {10.1073/pnas.1620274114},
  volume       = {114},
  year         = {2017},
}

@article{661,
  abstract     = {During embryonic development, mechanical forces are essential for cellular rearrangements driving tissue morphogenesis. Here, we show that in the early zebrafish embryo, friction forces are generated at the interface between anterior axial mesoderm (prechordal plate, ppl) progenitors migrating towards the animal pole and neurectoderm progenitors moving in the opposite direction towards the vegetal pole of the embryo. These friction forces lead to global rearrangement of cells within the neurectoderm and determine the position of the neural anlage. Using a combination of experiments and simulations, we show that this process depends on hydrodynamic coupling between neurectoderm and ppl as a result of E-cadherin-mediated adhesion between those tissues. Our data thus establish the emergence of friction forces at the interface between moving tissues as a critical force-generating process shaping the embryo.},
  author       = {Smutny, Michael and Ákos, Zsuzsa and Grigolon, Silvia and Shamipour, Shayan and Ruprecht, Verena and Capek, Daniel and Behrndt, Martin and Papusheva, Ekaterina and Tada, Masazumi and Hof, Björn and Vicsek, Tamás and Salbreux, Guillaume and Heisenberg, Carl-Philipp J},
  issn         = {14657392},
  journal      = {Nature Cell Biology},
  pages        = {306 -- 317},
  publisher    = {Nature Publishing Group},
  title        = {{Friction forces position the neural anlage}},
  doi          = {10.1038/ncb3492},
  volume       = {19},
  year         = {2017},
}