@inproceedings{2000,
  abstract     = {In this work we present a flexible tool for tumor progression, which simulates the evolutionary dynamics of cancer. Tumor progression implements a multi-type branching process where the key parameters are the fitness landscape, the mutation rate, and the average time of cell division. The fitness of a cancer cell depends on the mutations it has accumulated. The input to our tool could be any fitness landscape, mutation rate, and cell division time, and the tool produces the growth dynamics and all relevant statistics.},
  author       = {Reiter, Johannes and Božić, Ivana and Chatterjee, Krishnendu and Nowak, Martin},
  booktitle    = {Proceedings of 25th Int. Conf. on Computer Aided Verification},
  location     = {St. Petersburg, Russia},
  pages        = {101 -- 106},
  publisher    = {Springer},
  title        = {{TTP: Tool for tumor progression}},
  doi          = {10.1007/978-3-642-39799-8_6},
  volume       = {8044},
  year         = {2013},
}

@article{450,
  abstract     = {Understanding the relative importance of heterosis and outbreeding depression over multiple generations is a key question in evolutionary biology and is essential for identifying appropriate genetic sources for population and ecosystem restoration. Here we use 2455 experimental crosses between 12 population pairs of the rare perennial plant Rutidosis leptorrhynchoides (Asteraceae) to investigate the multi-generational (F1, F2, F3) fitness outcomes of inter-population hybridization. We detected no evidence of outbreeding depression, with inter-population hybrids and backcrosses showing either similar fitness or significant heterosis for fitness components across the three generations. Variation in heterosis among population pairs was best explained by characteristics of the foreign source or home population, and was greatest when the source population was large, with high genetic diversity and low inbreeding, and the home population was small and inbred. Our results indicate that the primary consideration for maximizing progeny fitness following population augmentation or restoration is the use of seed from large, genetically diverse populations.},
  author       = {Pickup, Melinda and Field, David and Rowell, David and Young, Andrew},
  journal      = {Proceedings of the Royal Society of London Series B Biological Sciences},
  number       = {1750},
  publisher    = {Royal Society},
  title        = {{Source population characteristics affect heterosis following genetic rescue of fragmented plant populations}},
  doi          = {10.1098/rspb.2012.2058},
  volume       = {280},
  year         = {2013},
}

@article{2811,
  abstract     = {In pipe, channel, and boundary layer flows turbulence first occurs intermittently in space and time: at moderate Reynolds numbers domains of disordered turbulent motion are separated by quiescent laminar regions. Based on direct numerical simulations of pipe flow we argue here that the spatial intermittency has its origin in a nearest neighbor interaction between turbulent regions. We further show that in this regime turbulent flows are intrinsically intermittent with a well-defined equilibrium turbulent fraction but without ever assuming a steady pattern. This transition scenario is analogous to that found in simple models such as coupled map lattices. The scaling observed implies that laminar intermissions of the turbulent flow will persist to arbitrarily large Reynolds numbers.},
  author       = {Avila, Marc and Hof, Björn},
  journal      = {Physical Review E},
  number       = {6},
  publisher    = {American Physical Society},
  title        = {{Nature of laminar-turbulence intermittency in shear flows}},
  doi          = {10.1103/PhysRevE.87.063012},
  volume       = {87},
  year         = {2013},
}

@inbook{10896,
  abstract     = {Under physiological conditions the brain, via the purine salvage pathway, reuses the preformed purine bases hypoxanthine, derived from ATP degradation, and adenine (Ade), derived from polyamine synthesis, to restore its ATP pool. However, the massive degradation of ATP during ischemia, although providing valuable neuroprotective adenosine, results in the accumulation and loss of diffusible purine metabolites and thereby leads to a protracted reduction in the post-ischemic ATP pool size. In vivo, this may both limit the ability to deploy ATP-dependent reparative mechanisms and reduce the subsequent availability of adenosine, whilst in brain slices results in tissue with substantially lower levels of ATP than in vivo. In the present review, we describe the mechanisms by which brain tissue replenishes its ATP, how this can be improved with the clinically tolerated chemicals D-ribose and adenine, and the functional, and potential therapeutic, implications of doing so.},
  author       = {zur Nedden, Stephanie and Doney, Alexander S. and Frenguelli, Bruno G.},
  booktitle    = {Adenosine},
  editor       = {Masino, Susan and Boison, Detlev},
  isbn         = {9781461439028},
  pages        = {109--129},
  publisher    = {Springer},
  title        = {{The double-edged sword: Gaining Adenosine at the expense of ATP. How to balance the books}},
  doi          = {10.1007/978-1-4614-3903-5_6},
  year         = {2012},
}

@inproceedings{10903,
  abstract     = {We propose a logic-based framework for automated reasoning about sequential programs manipulating singly-linked lists and arrays with unbounded data. We introduce the logic SLAD, which allows combining shape constraints, written in a fragment of Separation Logic, with data and size constraints. We address the problem of checking the entailment between SLAD formulas, which is crucial in performing pre-post condition reasoning. Although this problem is undecidable in general for SLAD, we propose a sound and powerful procedure that is able to solve this problem for a large class of formulas, beyond the capabilities of existing techniques and tools. We prove that this procedure is complete, i.e., it is actually a decision procedure for this problem, for an important fragment of SLAD including known decidable logics. We implemented this procedure and shown its preciseness and its efficiency on a significant benchmark of formulas.},
  author       = {Bouajjani, Ahmed and Dragoi, Cezara and Enea, Constantin and Sighireanu, Mihaela},
  booktitle    = {Automated Technology for Verification and Analysis},
  isbn         = {9783642333859},
  issn         = {1611-3349},
  location     = {Thiruvananthapuram, India},
  pages        = {167--182},
  publisher    = {Springer},
  title        = {{Accurate invariant checking for programs manipulating lists and arrays with infinite data}},
  doi          = {10.1007/978-3-642-33386-6_14},
  volume       = {7561},
  year         = {2012},
}

@article{11092,
  abstract     = {To combat the functional decline of the proteome, cells use the process of protein turnover to replace potentially impaired polypeptides with new functional copies. We found that extremely long-lived proteins (ELLPs) did not turn over in postmitotic cells of the rat central nervous system. These ELLPs were associated with chromatin and the nuclear pore complex, the central transport channels that mediate all molecular trafficking in and out of the nucleus. The longevity of these proteins would be expected to expose them to potentially harmful metabolites, putting them at risk of accumulating damage over extended periods of time. Thus, it is possible that failure to maintain proper levels and functional integrity of ELLPs in nonproliferative cells might contribute to age-related deterioration in cell and tissue function.},
  author       = {Savas, Jeffrey N. and Toyama, Brandon H. and Xu, Tao and Yates, John R. and HETZER, Martin W},
  issn         = {1095-9203},
  journal      = {Science},
  number       = {6071},
  pages        = {942--942},
  publisher    = {American Association for the Advancement of Science},
  title        = {{Extremely long-lived nuclear pore proteins in the rat brain}},
  doi          = {10.1126/science.1217421},
  volume       = {335},
  year         = {2012},
}

@article{2302,
  abstract     = {We introduce propagation models (PMs), a formalism able to express several kinds of equations that describe the behavior of biochemical reaction networks. Furthermore, we introduce the propagation abstract data type (PADT), which separates concerns regarding different numerical algorithms for the transient analysis of biochemical reaction networks from concerns regarding their implementation, thus allowing for portable and efficient solutions. The state of a propagation abstract data type is given by a vector that assigns mass values to a set of nodes, and its (next) operator propagates mass values through this set of nodes. We propose an approximate implementation of the (next) operator, based on threshold abstraction, which propagates only &quot;significant&quot; mass values and thus achieves a compromise between efficiency and accuracy. Finally, we give three use cases for propagation models: the chemical master equation (CME), the reaction rate equation (RRE), and a hybrid method that combines these two equations. These three applications use propagation models in order to propagate probabilities and/or expected values and variances of the model's variables.},
  author       = {Henzinger, Thomas A and Mateescu, Maria},
  journal      = {IEEE ACM Transactions on Computational Biology and Bioinformatics},
  number       = {2},
  pages        = {310 -- 322},
  publisher    = {IEEE},
  title        = {{The propagation approach for computing biochemical reaction networks}},
  doi          = {10.1109/TCBB.2012.91},
  volume       = {10},
  year         = {2012},
}

@article{2411,
  abstract     = {The kingdom of fungi provides model organisms for biotechnology, cell biology, genetics, and life sciences in general. Only when their phylogenetic relationships are stably resolved, can individual results from fungal research be integrated into a holistic picture of biology. However, and despite recent progress, many deep relationships within the fungi remain unclear. Here, we present the first phylogenomic study of an entire eukaryotic kingdom that uses a consistency criterion to strengthen phylogenetic conclusions. We reason that branches (splits) recovered with independent data and different tree reconstruction methods are likely to reflect true evolutionary relationships. Two complementary phylogenomic data sets based on 99 fungal genomes and 109 fungal expressed sequence tag (EST) sets analyzed with four different tree reconstruction methods shed light from different angles on the fungal tree of life. Eleven additional data sets address specifically the phylogenetic position of Blastocladiomycota, Ustilaginomycotina, and Dothideomycetes, respectively. The combined evidence from the resulting trees supports the deep-level stability of the fungal groups toward a comprehensive natural system of the fungi. In addition, our analysis reveals methodologically interesting aspects. Enrichment for EST encoded data-a common practice in phylogenomic analyses-introduces a strong bias toward slowly evolving and functionally correlated genes. Consequently, the generalization of phylogenomic data sets as collections of randomly selected genes cannot be taken for granted. A thorough characterization of the data to assess possible influences on the tree reconstruction should therefore become a standard in phylogenomic analyses.},
  author       = {Ebersberger, Ingo and De Matos Simoes, Ricardo and Kupczok, Anne and Gube, Matthias and Kothe, Erika and Voigt, Kerstin and Von Haeseler, Arndt},
  journal      = {Molecular Biology and Evolution},
  number       = {5},
  pages        = {1319 -- 1334},
  publisher    = {Oxford University Press},
  title        = {{A consistent phylogenetic backbone for the fungi}},
  doi          = {10.1093/molbev/msr285},
  volume       = {29},
  year         = {2012},
}

@inproceedings{2715,
  abstract     = {We consider Markov decision processes (MDPs) with specifications given as Büchi (liveness) objectives. We consider the problem of computing the set of almost-sure winning vertices from where the objective can be ensured with probability 1. We study for the first time the average case complexity of the classical algorithm for computing the set of almost-sure winning vertices for MDPs with Büchi objectives. Our contributions are as follows: First, we show that for MDPs with constant out-degree the expected number of iterations is at most logarithmic and the average case running time is linear (as compared to the worst case linear number of iterations and quadratic time complexity). Second, for the average case analysis over all MDPs we show that the expected number of iterations is constant and the average case running time is linear (again as compared to the worst case linear number of iterations and quadratic time complexity). Finally we also show that given that all MDPs are equally likely, the probability that the classical algorithm requires more than constant number of iterations is exponentially small.},
  author       = {Chatterjee, Krishnendu and Joglekar, Manas and Shah, Nisarg},
  location     = {Hyderabad, India},
  pages        = {461 -- 473},
  publisher    = {Schloss Dagstuhl - Leibniz-Zentrum für Informatik},
  title        = {{Average case analysis of the classical algorithm for Markov decision processes with Büchi objectives}},
  doi          = {10.4230/LIPIcs.FSTTCS.2012.461},
  volume       = {18},
  year         = {2012},
}

@inproceedings{2825,
  abstract     = {We study the problem of maximum marginal prediction (MMP) in probabilistic graphical models, a task that occurs, for example, as the Bayes optimal decision rule under a Hamming loss. MMP is typically performed as a two-stage procedure: one estimates each variable's marginal probability and then forms a prediction from the states of maximal probability. In this work we propose a simple yet effective technique for accelerating MMP when inference is sampling-based: instead of the above two-stage procedure we directly estimate the posterior probability of each decision variable. This allows us to identify the point of time when we are sufficiently certain about any individual decision. Whenever this is the case, we dynamically prune the variables we are confident about from the underlying factor graph. Consequently, at any time only samples of variables whose decision is still uncertain need to be created. Experiments in two prototypical scenarios, multi-label classification and image inpainting, show that adaptive sampling can drastically accelerate MMP without sacrificing prediction accuracy.},
  author       = {Lampert, Christoph},
  location     = {Lake Tahoe, NV, United States},
  pages        = {82 -- 90},
  publisher    = {Neural Information Processing Systems Foundation},
  title        = {{Dynamic pruning of factor graphs for maximum marginal prediction}},
  volume       = {1},
  year         = {2012},
}

@article{2848,
  abstract     = {We study evolutionary game theory in a setting where individuals learn from each other. We extend the traditional approach by assuming that a population contains individuals with different learning abilities. In particular, we explore the situation where individuals have different search spaces, when attempting to learn the strategies of others. The search space of an individual specifies the set of strategies learnable by that individual. The search space is genetically given and does not change under social evolutionary dynamics. We introduce a general framework and study a specific example in the context of direct reciprocity. For this example, we obtain the counter intuitive result that cooperation can only evolve for intermediate benefit-to-cost ratios, while small and large benefit-to-cost ratios favor defection. Our paper is a step toward making a connection between computational learning theory and evolutionary game dynamics.},
  author       = {Chatterjee, Krishnendu and Zufferey, Damien and Nowak, Martin},
  journal      = {Journal of Theoretical Biology},
  pages        = {161 -- 173},
  publisher    = {Elsevier},
  title        = {{Evolutionary game dynamics in populations with different learners}},
  doi          = {10.1016/j.jtbi.2012.02.021},
  volume       = {301},
  year         = {2012},
}

@article{2849,
  author       = {Edelsbrunner, Herbert and Strelkova, Nataliya},
  journal      = {Russian Mathematical Surveys},
  number       = {6},
  pages        = {1167 -- 1168},
  publisher    = {IOP Publishing},
  title        = {{On the configuration space of Steiner minimal trees}},
  doi          = {10.1070/RM2012v067n06ABEH004820},
  volume       = {67},
  year         = {2012},
}

@inproceedings{2888,
  abstract     = {Formal verification aims to improve the quality of hardware and software by detecting errors before they do harm. At the basis of formal verification lies the logical notion of correctness, which purports to capture whether or not a circuit or program behaves as desired. We suggest that the boolean partition into correct and incorrect systems falls short of the practical need to assess the behavior of hardware and software in a more nuanced fashion against multiple criteria.},
  author       = {Henzinger, Thomas A},
  booktitle    = {15th International Conference on Model Driven Engineering Languages and Systems},
  issn         = {1611-3349},
  location     = {Innsbruck, Austria},
  pages        = {1 -- 2},
  publisher    = {Springer},
  title        = {{Quantitative reactive models}},
  doi          = {10.1007/978-3-642-33666-9_1},
  volume       = {7590},
  year         = {2012},
}

@inproceedings{2890,
  abstract     = {Systems are often specified using multiple requirements on their behavior. In practice, these requirements can be contradictory. The classical approach to specification, verification, and synthesis demands more detailed specifications that resolve any contradictions in the requirements. These detailed specifications are usually large, cumbersome, and hard to maintain or modify. In contrast, quantitative frameworks allow the formalization of the intuitive idea that what is desired is an implementation that comes &quot;closest&quot; to satisfying the mutually incompatible requirements, according to a measure of fit that can be defined by the requirements engineer. One flexible framework for quantifying how &quot;well&quot; an implementation satisfies a specification is offered by simulation distances that are parameterized by an error model. We introduce this framework, study its properties, and provide an algorithmic solution for the following quantitative synthesis question: given two (or more) behavioral requirements specified by possibly incompatible finite-state machines, and an error model, find the finite-state implementation that minimizes the maximal simulation distance to the given requirements. Furthermore, we generalize the framework to handle infinite alphabets (for example, realvalued domains). We also demonstrate how quantitative specifications based on simulation distances might lead to smaller and easier to modify specifications. Finally, we illustrate our approach using case studies on error correcting codes and scheduler synthesis.},
  author       = {Cerny, Pavol and Gopi, Sivakanth and Henzinger, Thomas A and Radhakrishna, Arjun and Totla, Nishant},
  booktitle    = {Proceedings of the tenth ACM international conference on Embedded software},
  location     = {Tampere, Finland},
  pages        = {53 -- 62},
  publisher    = {ACM},
  title        = {{Synthesis from incompatible specifications}},
  doi          = {10.1145/2380356.2380371},
  year         = {2012},
}

@article{2902,
  abstract     = {We present an algorithm for simplifying linear cartographic objects and results obtained with a computer program implementing this algorithm. },
  author       = {Edelsbrunner, Herbert and Musin, Oleg and Ukhalov, Alexey and Yakimova, Olga and Alexeev, Vladislav and Bogaevskaya, Victoriya and Gorohov, Andrey and Preobrazhenskaya, Margarita},
  journal      = {Modeling and Analysis of Information Systems},
  number       = {6},
  pages        = {152 -- 160},
  publisher    = {Russian Academy of Sciences},
  title        = {{Fractal and computational geometry for generalizing cartographic objects}},
  volume       = {19},
  year         = {2012},
}

@inproceedings{2903,
  abstract     = {In order to enjoy a digital version of the Jordan Curve Theorem, it is common to use the closed topology for the foreground and the open topology for the background of a 2-dimensional binary image. In this paper, we introduce a single topology that enjoys this theorem for all thresholds decomposing a real-valued image into foreground and background. This topology is easy to construct and it generalizes to n-dimensional images.},
  author       = {Edelsbrunner, Herbert and Symonova, Olga},
  location     = {New Brunswick, NJ, USA },
  pages        = {41 -- 48},
  publisher    = {IEEE},
  title        = {{The adaptive topology of a digital image}},
  doi          = {10.1109/ISVD.2012.11},
  year         = {2012},
}

@article{2904,
  abstract     = {Generalized van der Corput sequences are onedimensional, infinite sequences in the unit interval. They are generated from permutations in integer base b and are the building blocks of the multi-dimensional Halton sequences. Motivated by recent progress of Atanassov on the uniform distribution behavior of Halton sequences, we study, among others, permutations of the form P(i) = ai (mod b) for coprime integers a and b. We show that multipliers a that either divide b - 1 or b + 1 generate van der Corput sequences with weak distribution properties. We give explicit lower bounds for the asymptotic distribution behavior of these sequences and relate them to sequences generated from the identity permutation in smaller bases, which are, due to Faure, the weakest distributed generalized van der Corput sequences.},
  author       = {Pausinger, Florian},
  issn         = {2118-8572},
  journal      = {Journal de Theorie des Nombres des Bordeaux},
  number       = {3},
  pages        = {729 -- 749},
  publisher    = {Université de Bordeaux},
  title        = {{Weak multipliers for generalized van der Corput sequences}},
  doi          = {10.5802/jtnb.819},
  volume       = {24},
  year         = {2012},
}

@article{2912,
  author       = {Edelsbrunner, Herbert and Strelkova, Nataliya},
  journal      = {Russian Mathematical Surveys},
  number       = {6},
  pages        = {1167–1168},
  publisher    = {Russian Academy of Sciences},
  title        = {{On the configuration space for the shortest networks}},
  doi          = {10.4213/rm9503},
  volume       = {67},
  year         = {2012},
}

@inproceedings{2915,
  author       = {Kroemer, Oliver and Lampert, Christoph and Peters, Jan},
  publisher    = {Deutsches Zentrum für Luft und Raumfahrt},
  title        = {{Multi-modal learning for dynamic tactile sensing}},
  year         = {2012},
}

@inproceedings{2916,
  abstract     = {The classical (boolean) notion of refinement for behavioral interfaces of system components is the alternating refinement preorder. In this paper, we define a quantitative measure for interfaces, called interface simulation distance. It makes the alternating refinement preorder quantitative by, intu- itively, tolerating errors (while counting them) in the alternating simulation game. We show that the interface simulation distance satisfies the triangle inequality, that the distance between two interfaces does not increase under parallel composition with a third interface, and that the distance between two interfaces can be bounded from above and below by distances between abstractions of the two interfaces. We illustrate the framework, and the properties of the distances under composition of interfaces, with two case studies.},
  author       = {Cerny, Pavol and Chmelik, Martin and Henzinger, Thomas A and Radhakrishna, Arjun},
  booktitle    = {Electronic Proceedings in Theoretical Computer Science},
  location     = {Napoli, Italy},
  pages        = {29 -- 42},
  publisher    = {EPTCS},
  title        = {{Interface Simulation Distances}},
  doi          = {10.4204/EPTCS.96.3},
  volume       = {96},
  year         = {2012},
}

