@inproceedings{1607,
  abstract     = {We consider the core algorithmic problems related to verification of systems with respect to three classical quantitative properties, namely, the mean-payoff property, the ratio property, and the minimum initial credit for energy property. The algorithmic problem given a graph and a quantitative property asks to compute the optimal value (the infimum value over all traces) from every node of the graph. We consider graphs with constant treewidth, and it is well-known that the control-flow graphs of most programs have constant treewidth. Let n denote the number of nodes of a graph, m the number of edges (for constant treewidth graphs m=O(n)) and W the largest absolute value of the weights. Our main theoretical results are as follows. First, for constant treewidth graphs we present an algorithm that approximates the mean-payoff value within a multiplicative factor of ϵ in time O(n⋅log(n/ϵ)) and linear space, as compared to the classical algorithms that require quadratic time. Second, for the ratio property we present an algorithm that for constant treewidth graphs works in time O(n⋅log(|a⋅b|))=O(n⋅log(n⋅W)), when the output is ab, as compared to the previously best known algorithm with running time O(n2⋅log(n⋅W)). Third, for the minimum initial credit problem we show that (i) for general graphs the problem can be solved in O(n2⋅m) time and the associated decision problem can be solved in O(n⋅m) time, improving the previous known O(n3⋅m⋅log(n⋅W)) and O(n2⋅m) bounds, respectively; and (ii) for constant treewidth graphs we present an algorithm that requires O(n⋅logn) time, improving the previous known O(n4⋅log(n⋅W)) bound. We have implemented some of our algorithms and show that they present a significant speedup on standard benchmarks.},
  author       = {Chatterjee, Krishnendu and Ibsen-Jensen, Rasmus and Pavlogiannis, Andreas},
  location     = {San Francisco, CA, USA},
  pages        = {140 -- 157},
  publisher    = {Springer},
  title        = {{Faster algorithms for quantitative verification in constant treewidth graphs}},
  doi          = {10.1007/978-3-319-21690-4_9},
  volume       = {9206},
  year         = {2015},
}

@inproceedings{1609,
  abstract     = {The synthesis problem asks for the automatic construction of a system from its specification. In the traditional setting, the system is “constructed from scratch” rather than composed from reusable components. However, this is rare in practice, and almost every non-trivial software system relies heavily on the use of libraries of reusable components. Recently, Lustig and Vardi introduced dataflow and controlflow synthesis from libraries of reusable components. They proved that dataflow synthesis is undecidable, while controlflow synthesis is decidable. The problem of controlflow synthesis from libraries of probabilistic components was considered by Nain, Lustig and Vardi, and was shown to be decidable for qualitative analysis (that asks that the specification be satisfied with probability 1). Our main contribution for controlflow synthesis from probabilistic components is to establish better complexity bounds for the qualitative analysis problem, and to show that the more general quantitative problem is undecidable. For the qualitative analysis, we show that the problem (i) is EXPTIME-complete when the specification is given as a deterministic parity word automaton, improving the previously known 2EXPTIME upper bound; and (ii) belongs to UP ∩ coUP and is parity-games hard, when the specification is given directly as a parity condition on the components, improving the previously known EXPTIME upper bound.},
  author       = {Chatterjee, Krishnendu and Doyen, Laurent and Vardi, Moshe},
  booktitle    = {42nd International Colloquium},
  isbn         = {978-3-662-47665-9},
  location     = {Kyoto, Japan},
  pages        = {108 -- 120},
  publisher    = {Springer Nature},
  title        = {{The complexity of synthesis from probabilistic components}},
  doi          = {10.1007/978-3-662-47666-6_9},
  volume       = {9135},
  year         = {2015},
}

@inproceedings{1610,
  abstract     = {The edit distance between two words w1, w2 is the minimal number of word operations (letter insertions, deletions, and substitutions) necessary to transform w1 to w2. The edit distance generalizes to languages L1,L2, where the edit distance is the minimal number k such that for every word from L1 there exists a word in L2 with edit distance at most k. We study the edit distance computation problem between pushdown automata and their subclasses. The problem of computing edit distance to pushdown automata is undecidable, and in practice, the interesting question is to compute the edit distance from a pushdown automaton (the implementation, a standard model for programs with recursion) to a regular language (the specification). In this work, we present a complete picture of decidability and complexity for deciding whether, for a given threshold k, the edit distance from a pushdown automaton to a finite automaton is at most k.},
  author       = {Chatterjee, Krishnendu and Henzinger, Thomas A and Ibsen-Jensen, Rasmus and Otop, Jan},
  booktitle    = {42nd International Colloquium},
  isbn         = {978-3-662-47665-9},
  location     = {Kyoto, Japan},
  number       = {Part II},
  pages        = {121 -- 133},
  publisher    = {Springer Nature},
  title        = {{Edit distance for pushdown automata}},
  doi          = {10.1007/978-3-662-47666-6_10},
  volume       = {9135},
  year         = {2015},
}

@article{1611,
  abstract     = {Biosensors for signaling molecules allow the study of physiological processes by bringing together the fields of protein engineering, fluorescence imaging, and cell biology. Construction of genetically encoded biosensors generally relies on the availability of a binding &quot;core&quot; that is both specific and stable, which can then be combined with fluorescent molecules to create a sensor. However, binding proteins with the desired properties are often not available in nature and substantial improvement to sensors can be required, particularly with regard to their durability. Ancestral protein reconstruction is a powerful protein-engineering tool able to generate highly stable and functional proteins. In this work, we sought to establish the utility of ancestral protein reconstruction to biosensor development, beginning with the construction of an l-arginine biosensor. l-arginine, as the immediate precursor to nitric oxide, is an important molecule in many physiological contexts including brain function. Using a combination of ancestral reconstruction and circular permutation, we constructed a Förster resonance energy transfer (FRET) biosensor for l-arginine (cpFLIPR). cpFLIPR displays high sensitivity and specificity, with a Kd of ∼14 μM and a maximal dynamic range of 35%. Importantly, cpFLIPR was highly robust, enabling accurate l-arginine measurement at physiological temperatures. We established that cpFLIPR is compatible with two-photon excitation fluorescence microscopy and report l-arginine concentrations in brain tissue.},
  author       = {Whitfield, Jason and Zhang, William and Herde, Michel and Clifton, Ben and Radziejewski, Johanna and Janovjak, Harald L and Henneberger, Christian and Jackson, Colin},
  journal      = {Protein Science},
  number       = {9},
  pages        = {1412 -- 1422},
  publisher    = {Wiley},
  title        = {{Construction of a robust and sensitive arginine biosensor through ancestral protein reconstruction}},
  doi          = {10.1002/pro.2721},
  volume       = {24},
  year         = {2015},
}

@article{1614,
  abstract     = {GABAergic perisoma-inhibiting fast-spiking interneurons (PIIs) effectively control the activity of large neuron populations by their wide axonal arborizations. It is generally assumed that the output of one PII to its target cells is strong and rapid. Here, we show that, unexpectedly, both strength and time course of PII-mediated perisomatic inhibition change with distance between synaptically connected partners in the rodent hippocampus. Synaptic signals become weaker due to lower contact numbers and decay more slowly with distance, very likely resulting from changes in GABAA receptor subunit composition. When distance-dependent synaptic inhibition is introduced to a rhythmically active neuronal network model, randomly driven principal cell assemblies are strongly synchronized by the PIIs, leading to higher precision in principal cell spike times than in a network with uniform synaptic inhibition. },
  author       = {Strüber, Michael and Jonas, Peter M and Bartos, Marlene},
  journal      = {PNAS},
  number       = {4},
  pages        = {1220 -- 1225},
  publisher    = {National Academy of Sciences},
  title        = {{Strength and duration of perisomatic GABAergic inhibition depend on distance between synaptically connected cells}},
  doi          = {10.1073/pnas.1412996112},
  volume       = {112},
  year         = {2015},
}

@article{1311,
  abstract     = {In this paper, we develop an energy method to study finite speed of propagation and waiting time phenomena for the stochastic porous media equation with linear multiplicative noise in up to three spatial dimensions. Based on a novel iteration technique and on stochastic counterparts of weighted integral estimates used in the deterministic setting, we formulate a sufficient criterion on the growth of initial data which locally guarantees a waiting time phenomenon to occur almost surely. Up to a logarithmic factor, this criterion coincides with the optimal criterion known from the deterministic setting. Our technique can be modified to prove finite speed of propagation as well.},
  author       = {Julian Fischer and Grün, Günther},
  journal      = {SIAM Journal on Mathematical Analysis},
  number       = {1},
  pages        = {825 -- 854},
  publisher    = {Society for Industrial and Applied Mathematics },
  title        = {{Finite speed of propagation and waiting times for the stochastic porous medium equation: A unifying approach}},
  doi          = {10.1137/140960578},
  volume       = {47},
  year         = {2015},
}

@article{1313,
  abstract     = {We present an algorithm for the derivation of lower bounds on support propagation for a certain class of nonlinear parabolic equations. We proceed by combining the ideas in some recent papers by the author with the algorithmic construction of entropies due to Jüngel and Matthes, reducing the problem to a quantifier elimination problem. Due to its complexity, the quantifier elimination problem cannot be solved by present exact algorithms. However, by tackling the quantifier elimination problem numerically, in the case of the thin-film equation we are able to improve recent results by the author in the regime of strong slippage n ∈ (1, 2). For certain second-order doubly nonlinear parabolic equations, we are able to extend the known lower bounds on free boundary propagation to the case of irregular oscillatory initial data. Finally, we apply our method to a sixth-order quantum drift-diffusion equation, resulting in an upper bound on the time which it takes for the support to reach every point in the domain.},
  author       = {Julian Fischer},
  journal      = {Interfaces and Free Boundaries},
  number       = {1},
  pages        = {1 -- 20},
  publisher    = {European Mathematical Society Publishing House},
  title        = {{Estimates on front propagation for nonlinear higher-order parabolic equations: An algorithmic approach}},
  doi          = {10.4171/IFB/331},
  volume       = {17},
  year         = {2015},
}

@article{1314,
  abstract     = {We derive a posteriori estimates for the modeling error caused by the assumption of perfect incompressibility in the incompressible Navier-Stokes equation: Real fluids are never perfectly incompressible but always feature at least some low amount of compressibility. Thus, their behavior is described by the compressible Navier-Stokes equation, the pressure being a steep function of the density. We rigorously estimate the difference between an approximate solution to the incompressible Navier-Stokes equation and any weak solution to the compressible Navier-Stokes equation in the sense of Lions (without assuming any additional regularity of solutions). Heuristics and numerical results suggest that our error estimates are of optimal order in the case of &quot;well-behaved&quot; flows and divergence-free approximations of the velocity field. Thus, we expect our estimates to justify the idealization of fluids as perfectly incompressible also in practical situations.},
  author       = {Fischer, Julian L},
  journal      = {SIAM Journal on Numerical Analysis},
  number       = {5},
  pages        = {2178 -- 2205},
  publisher    = {Society for Industrial and Applied Mathematics },
  title        = {{A posteriori modeling error estimates for the assumption of perfect incompressibility in the Navier-Stokes equation}},
  doi          = {10.1137/140966654},
  volume       = {53},
  year         = {2015},
}

@article{1316,
  abstract     = {In the present work we introduce the notion of a renormalized solution for reaction–diffusion systems with entropy-dissipating reactions. We establish the global existence of renormalized solutions. In the case of integrable reaction terms our notion of a renormalized solution reduces to the usual notion of a weak solution. Our existence result in particular covers all reaction–diffusion systems involving a single reversible reaction with mass-action kinetics and (possibly species-dependent) Fick-law diffusion; more generally, it covers the case of systems of reversible reactions with mass-action kinetics which satisfy the detailed balance condition. For such equations the existence of any kind of solution in general was an open problem, thereby motivating the study of renormalized solutions.},
  author       = {Julian Fischer},
  journal      = {Archive for Rational Mechanics and Analysis},
  number       = {1},
  pages        = {553 -- 587},
  publisher    = {Springer},
  title        = {{Global existence of renormalized solutions to entropy-dissipating reaction–diffusion systems}},
  doi          = {10.1007/s00205-015-0866-x},
  volume       = {218},
  year         = {2015},
}

@article{13392,
  abstract     = {The chemical behaviour of molecules can be significantly modified by confinement to volumes comparable to the dimensions of the molecules. Although such confined spaces can be found in various nanostructured materials, such as zeolites, nanoporous organic frameworks and colloidal nanocrystal assemblies, the slow diffusion of molecules in and out of these materials has greatly hampered studying the effect of confinement on their physicochemical properties. Here, we show that this diffusion limitation can be overcome by reversibly creating and destroying confined environments by means of ultraviolet and visible light irradiation. We use colloidal nanocrystals functionalized with light-responsive ligands that readily self-assemble and trap various molecules from the surrounding bulk solution. Once trapped, these molecules can undergo chemical reactions with increased rates and with stereoselectivities significantly different from those in bulk solution. Illumination with visible light disassembles these nanoflasks, releasing the product in solution and thereby establishes a catalytic cycle. These dynamic nanoflasks can be useful for studying chemical reactivities in confined environments and for synthesizing molecules that are otherwise hard to achieve in bulk solution.},
  author       = {Zhao, Hui and Sen, Soumyo and Udayabhaskararao, T. and Sawczyk, Michał and Kučanda, Kristina and Manna, Debasish and Kundu, Pintu K. and Lee, Ji-Woong and Král, Petr and Klajn, Rafal},
  issn         = {1748-3395},
  journal      = {Nature Nanotechnology},
  keywords     = {Electrical and Electronic Engineering, Condensed Matter Physics, General Materials Science, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Bioengineering},
  pages        = {82--88},
  publisher    = {Springer Nature},
  title        = {{Reversible trapping and reaction acceleration within dynamically self-assembling nanoflasks}},
  doi          = {10.1038/nnano.2015.256},
  volume       = {11},
  year         = {2015},
}

@article{13393,
  abstract     = {Precise control of the self-assembly of selected components within complex mixtures is a challenging goal whose realization is important for fabricating novel nanomaterials. Herein we show that by decorating the surfaces of metallic nanoparticles with differently substituted azobenzenes, it is possible to modulate the wavelength of light at which the self-assembly of these nanoparticles is induced. Exposing a mixture of two types of nanoparticles, each functionalized with a different azobenzene, to UV or blue light induces the selective self-assembly of only one type of nanoparticles. Irradiation with the other wavelength triggers the disassembly of the aggregates, and the simultaneous self-assembly of nanoparticles of the other type. By placing both types of azobenzenes on the same nanoparticles, we created unique materials (“frustrated” nanoparticles) whose self-assembly is induced irrespective of the wavelength of the incident light.},
  author       = {Manna, Debasish and Udayabhaskararao, Thumu and Zhao, Hui and Klajn, Rafal},
  issn         = {1521-3773},
  journal      = {Angewandte Chemie International Edition},
  keywords     = {General Chemistry, Catalysis},
  number       = {42},
  pages        = {12394--12397},
  publisher    = {Wiley},
  title        = {{Orthogonal light-induced self-assembly of nanoparticles using differently substituted azobenzenes}},
  doi          = {10.1002/anie.201502419},
  volume       = {54},
  year         = {2015},
}

@article{13394,
  abstract     = {The ability to guide the assembly of nanosized objects reversibly with external stimuli, in particular light, is of fundamental importance, and it contributes to the development of applications as diverse as nanofabrication and controlled drug delivery. However, all the systems described to date are based on nanoparticles (NPs) that are inherently photoresponsive, which makes their preparation cumbersome and can markedly hamper their performance. Here we describe a conceptually new methodology to assemble NPs reversibly using light that does not require the particles to be functionalized with light-responsive ligands. Our strategy is based on the use of a photoswitchable medium that responds to light in such a way that it modulates the interparticle interactions. NP assembly proceeds quantitatively and without apparent fatigue, both in solution and in gels. Exposing the gels to light in a spatially controlled manner allowed us to draw images that spontaneously disappeared after a specific period of time.},
  author       = {Kundu, Pintu K. and Samanta, Dipak and Leizrowice, Ron and Margulis, Baruch and Zhao, Hui and Börner, Martin and Udayabhaskararao, T. and Manna, Debasish and Klajn, Rafal},
  issn         = {1755-4349},
  journal      = {Nature Chemistry},
  keywords     = {General Chemical Engineering, General Chemistry},
  pages        = {646--652},
  publisher    = {Springer Nature},
  title        = {{Light-controlled self-assembly of non-photoresponsive nanoparticles}},
  doi          = {10.1038/nchem.2303},
  volume       = {7},
  year         = {2015},
}

@article{13395,
  abstract     = {Metallic nanoparticles co-functionalised with monolayers of UV- and CO2-sensitive ligands were prepared and shown to respond to these two types of stimuli reversibly and in an orthogonal fashion. The composition of the coating could be tailored to yield nanoparticles capable of aggregating exclusively when both UV and CO2 were applied at the same time, analogously to the behaviour of an AND logic gate.},
  author       = {Lee, Ji-Woong and Klajn, Rafal},
  issn         = {1364-548X},
  journal      = {Chemical Communications},
  keywords     = {Materials Chemistry, Metals and Alloys, Surfaces, Coatings and Films, General Chemistry, Ceramics and Composites, Electronic, Optical and Magnetic Materials, Catalysis},
  number       = {11},
  pages        = {2036--2039},
  publisher    = {Royal Society of Chemistry},
  title        = {{Dual-responsive nanoparticles that aggregate under the simultaneous action of light and CO2}},
  doi          = {10.1039/c4cc08541h},
  volume       = {51},
  year         = {2015},
}

@article{13396,
  abstract     = {Photoswitching in densely packed azobenzene self-assembled monolayers (SAMs) is strongly affected by steric constraints and excitonic coupling between neighboring chromophores. Therefore, control of the chromophore density is essential for enhancing and manipulating the photoisomerization yield. We systematically compare two methods to achieve this goal: First, we assemble monocomponent azobenzene–alkanethiolate SAMs on gold nanoparticles of varying size. Second, we form mixed SAMs of azobenzene–alkanethiolates and “dummy” alkanethiolates on planar substrates. Both methods lead to a gradual decrease of the chromophore density and enable efficient photoswitching with low-power light sources. X-ray spectroscopy reveals that coadsorption from solution yields mixtures with tunable composition. The orientation of the chromophores with respect to the surface normal changes from a tilted to an upright position with increasing azobenzene density. For both systems, optical spectroscopy reveals a pronounced excitonic shift that increases with the chromophore density. In spite of exciting the optical transition of the monomer, the main spectral change in mixed SAMs occurs in the excitonic band. In addition, the photoisomerization yield decreases only slightly by increasing the azobenzene–alkanethiolate density, and we observed photoswitching even with minor dilutions. Unlike in solution, azobenzene in the planar SAM can be switched back almost completely by optical excitation from the cis to the original trans state within a short time scale. These observations indicate cooperativity in the photoswitching process of mixed SAMs.},
  author       = {Moldt, Thomas and Brete, Daniel and Przyrembel, Daniel and Das, Sanjib and Goldman, Joel R. and Kundu, Pintu K. and Gahl, Cornelius and Klajn, Rafal and Weinelt, Martin},
  issn         = {1520-5827},
  journal      = {Langmuir},
  keywords     = {Electrochemistry, Spectroscopy, Surfaces and Interfaces, Condensed Matter Physics, General Materials Science},
  number       = {3},
  pages        = {1048--1057},
  publisher    = {American Chemical Society},
  title        = {{Tailoring the properties of surface-immobilized azobenzenes by monolayer dilution and surface curvature}},
  doi          = {10.1021/la504291n},
  volume       = {31},
  year         = {2015},
}

@article{13397,
  abstract     = {Self-assembly of inorganic nanoparticles has been studied extensively for particles having different sizes and compositions. However, relatively little attention has been devoted to how the shape and surface chemistry of magnetic nanoparticles affects their self-assembly properties. Here, we undertook a combined experiment–theory study aimed at better understanding of the self-assembly of cubic magnetite (Fe3O4) particles. We demonstrated that, depending on the experimental parameters, such as the direction of the magnetic field and nanoparticle density, a variety of superstructures can be obtained, including one-dimensional filaments and helices, as well as C-shaped assemblies described here for the first time. Furthermore, we functionalized the surfaces of the magnetic nanocubes with light-sensitive ligands. Using these modified nanoparticles, we were able to achieve orthogonal control of self-assembly using a magnetic field and light.},
  author       = {Singh, Gurvinder and Chan, Henry and Udayabhaskararao, T. and Gelman, Elijah and Peddis, Davide and Baskin, Artem and Leitus, Gregory and Král, Petr and Klajn, Rafal},
  issn         = {1364-5498},
  journal      = {Faraday Discussions},
  keywords     = {Physical and Theoretical Chemistry},
  pages        = {403--421},
  publisher    = {Royal Society of Chemistry},
  title        = {{Magnetic field-induced self-assembly of iron oxide nanocubes}},
  doi          = {10.1039/c4fd00265b},
  volume       = {181},
  year         = {2015},
}

@article{13398,
  author       = {Sun, Yugang and Scarabelli, Leonardo and Kotov, Nicholas and Tebbe, Moritz and Lin, Xiao-Min and Brullot, Ward and Isa, Lucio and Schurtenberger, Peter and Moehwald, Helmuth and Fedin, Igor and Velev, Orlin and Faivre, Damien and Sorensen, Christopher and Perzynski, Régine and Chanana, Munish and Li, Zhihai and Bresme, Fernando and Král, Petr and Firlar, Emre and Schiffrin, David and Souza Junior, Joao Batista and Fery, Andreas and Shevchenko, Elena and Tarhan, Ozgur and Alivisatos, Armand Paul and Disch, Sabrina and Klajn, Rafal and Ghosh, Suvojit},
  issn         = {1364-5498},
  journal      = {Faraday Discussions},
  keywords     = {Physical and Theoretical Chemistry},
  pages        = {463--479},
  publisher    = {Royal Society of Chemistry},
  title        = {{Field-assisted self-assembly process: General discussion}},
  doi          = {10.1039/c5fd90041g},
  volume       = {181},
  year         = {2015},
}

@article{1383,
  abstract     = {In plants, vacuolar H+-ATPase (V-ATPase) activity acidifies both the trans-Golgi network/early endosome (TGN/EE) and the vacuole. This dual V-ATPase function has impeded our understanding of how the pH homeostasis within the plant TGN/EE controls exo- and endocytosis. Here, we show that the weak V-ATPase mutant deetiolated3 (det3) displayed a pH increase in the TGN/EE, but not in the vacuole, strongly impairing secretion and recycling of the brassinosteroid receptor and the cellulose synthase complexes to the plasma membrane, in contrast to mutants lacking tonoplast-localized V-ATPase activity only. The brassinosteroid insensitivity and the cellulose deficiency defects in det3 were tightly correlated with reduced Golgi and TGN/EE motility. Thus, our results provide strong evidence that acidification of the TGN/EE, but not of the vacuole, is indispensable for functional secretion and recycling in plants.},
  author       = {Yu, Luo and Scholl, Stefan and Doering, Anett and Yi, Zhang and Irani, Niloufer and Di Rubbo, Simone and Neumetzler, Lutz and Krishnamoorthy, Praveen and Van Houtte, Isabelle and Mylle, Evelien and Bischoff, Volker and Vernhettes, Samantha and Winne, Johan and Friml, Jirí and Stierhof, York and Schumacher, Karin and Persson, Staffan and Russinova, Eugenia},
  journal      = {Nature Plants},
  number       = {7},
  publisher    = {Nature Publishing Group},
  title        = {{V-ATPase activity in the TGN/EE is required for exocytosis and recycling in Arabidopsis}},
  doi          = {10.1038/nplants.2015.94},
  volume       = {1},
  year         = {2015},
}

@phdthesis{1399,
  abstract     = {This thesis is concerned with the computation and approximation of intrinsic volumes. Given a smooth body M and a certain digital approximation of it, we develop algorithms to approximate various intrinsic volumes of M using only measurements taken from its digital approximations. The crucial idea behind our novel algorithms is to link the recent theory of persistent homology to the theory of intrinsic volumes via the Crofton formula from integral geometry and, in particular, via Euler characteristic computations. Our main contributions are a multigrid convergent digital algorithm to compute the first intrinsic volume of a solid body in R^n as well as an appropriate integration pipeline to approximate integral-geometric integrals defined over the Grassmannian manifold.},
  author       = {Pausinger, Florian},
  issn         = {2663-337X},
  pages        = {144},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{On the approximation of intrinsic volumes}},
  year         = {2015},
}

@phdthesis{1400,
  abstract     = {Cancer results from an uncontrolled growth of abnormal cells. Sequentially accumulated genetic and epigenetic alterations decrease cell death and increase cell replication. We used mathematical models to quantify the effect of driver gene mutations. The recently developed targeted therapies can lead to dramatic regressions. However, in solid cancers, clinical responses are often short-lived because resistant cancer cells evolve. We estimated that approximately 50 different mutations can confer resistance to a typical targeted therapeutic agent. We find that resistant cells are likely to be present in expanded subclones before the start of the treatment. The dominant strategy to prevent the evolution of resistance is combination therapy. Our analytical results suggest that in most patients, dual therapy, but not monotherapy, can result in long-term disease control. However, long-term control can only occur if there are no possible mutations in the genome that can cause cross-resistance to both drugs. Furthermore, we showed that simultaneous therapy with two drugs is much more likely to result in long-term disease control than sequential therapy with the same drugs. To improve our understanding of the underlying subclonal evolution we reconstruct the evolutionary history of a patient's cancer from next-generation sequencing data of spatially-distinct DNA samples. Using a quantitative measure of genetic relatedness, we found that pancreatic cancers and their metastases demonstrated a higher level of relatedness than that expected for any two cells randomly taken from a normal tissue. This minimal amount of genetic divergence among advanced lesions indicates that genetic heterogeneity, when quantitatively defined, is not a fundamental feature of the natural history of untreated pancreatic cancers. Our newly developed, phylogenomic tool Treeomics finds evidence for seeding patterns of metastases and can directly be used to discover rules governing the evolution of solid malignancies to transform cancer into a more predictable disease.},
  author       = {Reiter, Johannes},
  issn         = {2663-337X},
  pages        = {183},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{The subclonal evolution of cancer}},
  year         = {2015},
}

@phdthesis{1401,
  abstract     = {The human ability to recognize objects in complex scenes has driven research in the computer vision field over couple of decades. This thesis focuses on the object recognition task in images. That is, given the image, we want the computer system to be able to predict the class of the object that appears in the image. A recent successful attempt to bridge semantic understanding of the image perceived by humans and by computers uses attribute-based models. Attributes are semantic properties of the objects shared across different categories, which humans and computers can decide on. To explore the attribute-based models we take a statistical machine learning approach, and address two key learning challenges in view of object recognition task: learning augmented attributes as mid-level discriminative feature representation, and learning with attributes as privileged information. Our main contributions are parametric and non-parametric models and algorithms to solve these frameworks. In the parametric approach, we explore an autoencoder model combined with the large margin nearest neighbor principle for mid-level feature learning, and linear support vector machines for learning with privileged information. In the non-parametric approach, we propose a supervised Indian Buffet Process for automatic augmentation of semantic attributes, and explore the Gaussian Processes classification framework for learning with privileged information. A thorough experimental analysis shows the effectiveness of the proposed models in both parametric and non-parametric views.},
  author       = {Sharmanska, Viktoriia},
  issn         = {2663-337X},
  pages        = {144},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{Learning with attributes for object recognition: Parametric and non-parametrics views}},
  doi          = {10.15479/at:ista:1401},
  year         = {2015},
}

