@misc{13058,
  abstract     = {The zip file includes source data used in the main text of the manuscript "Theory of branching morphogenesis by local interactions and global guidance", as well as a representative Jupyter notebook to reproduce the main figures. A sample script for the simulations of branching and annihilating random walks is also included (Sample_script_for_simulations_of_BARWs.ipynb) to generate exemplary branched networks under external guidance. A detailed description of the simulation setup is provided in the supplementary information of the manuscipt.},
  author       = {Ucar, Mehmet C},
  publisher    = {Zenodo},
  title        = {{Source data for the manuscript "Theory of branching morphogenesis by local interactions and global guidance"}},
  doi          = {10.5281/ZENODO.5257160},
  year         = {2021},
}

@misc{13061,
  abstract     = {Infections early in life can have enduring effects on an organism’s development and immunity. In this study, we show that this equally applies to developing “superorganisms” – incipient social insect colonies. When we exposed newly mated Lasius niger ant queens to a low pathogen dose, their colonies grew more slowly than controls before winter, but reached similar sizes afterwards. Independent of exposure, queen hibernation survival improved when the ratio of pupae to workers was small. Queens that reared fewer pupae before worker emergence exhibited lower pathogen levels, indicating that high brood rearing efforts interfere with the ability of the queen’s immune system to suppress pathogen proliferation. Early-life queen pathogen-exposure also improved the immunocompetence of her worker offspring, as demonstrated by challenging the workers to the same pathogen a year later. Transgenerational transfer of the queen’s pathogen experience to her workforce can hence durably reduce the disease susceptibility of the whole superorganism.},
  author       = {Casillas Perez, Barbara E and Pull, Christopher and Naiser, Filip and Naderlinger, Elisabeth and Matas, Jiri and Cremer, Sylvia},
  publisher    = {Dryad},
  title        = {{Early queen infection shapes developmental dynamics and induces long-term disease protection in incipient ant colonies}},
  doi          = {10.5061/DRYAD.7PVMCVDTJ},
  year         = {2021},
}

@misc{13062,
  abstract     = {This paper analyzes the conditions for local adaptation in a metapopulation with infinitely many islands under a model of hard selection, where population size depends on local fitness. Each island belongs to one of two distinct ecological niches or habitats. Fitness is influenced by an additive trait which is under habitat-dependent directional selection. Our analysis is based on the diffusion approximation and  accounts for both genetic drift and demographic stochasticity. By neglecting linkage disequilibria, it yields the joint distribution of allele frequencies and population size on each island. We find that under hard selection, the conditions for local adaptation in a rare habitat are more restrictive for more polygenic traits: even moderate migration load per locus at very many loci is sufficient for population sizes to decline. This further reduces the efficacy of selection at individual loci due to increased drift and because smaller populations are more prone to swamping due to migration, causing a positive feedback between increasing maladaptation and declining population sizes. Our analysis also highlights the importance of demographic stochasticity, which  exacerbates the decline in numbers of maladapted populations, leading to population collapse in the rare habitat at significantly lower migration than predicted by deterministic arguments.},
  author       = {Szep, Eniko and Sachdeva, Himani and Barton, Nicholas H},
  publisher    = {Dryad},
  title        = {{Supplementary code for: Polygenic local adaptation in metapopulations: A stochastic eco-evolutionary model}},
  doi          = {10.5061/DRYAD.8GTHT76P1},
  year         = {2021},
}

@misc{13063,
  abstract     = {We develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 seconds per iteration to estimate 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK Biobank. We find that only $\leq$ 10\% of the genetic variation captured for height, body mass index, cardiovascular disease, and type 2 diabetes is attributable to proximal regulatory regions within 10kb upstream of genes, while 12-25% is attributed to coding regions, 32-44% to introns, and 22-28% to distal 10-500kb upstream regions. Up to 24% of all cis and coding regions of each chromosome are associated with each trait, with over 3,100 independent exonic and intronic regions and over 5,400 independent regulatory regions having &gt;95% probability of contributing &gt;0.001% to the genetic variance of these four traits. Our open-source software (GMRM) provides a scalable alternative to current approaches for biobank data.},
  author       = {Robinson, Matthew Richard},
  publisher    = {Dryad},
  title        = {{Probabilistic inference of the genetic architecture of functional enrichment of complex traits}},
  doi          = {10.5061/dryad.sqv9s4n51},
  year         = {2021},
}

@misc{13068,
  abstract     = {Source data and source code for the graphs in "Spatiotemporal dynamics of self-organized branching pancreatic cancer-derived organoids".},
  author       = {Randriamanantsoa, Samuel and Papargyriou, Aristeidis and Maurer, Carlo and Peschke, Katja and Schuster, Maximilian and Zecchin, Giulia and Steiger, Katja and Öllinger, Rupert and Saur, Dieter and Scheel, Christina and Rad, Roland and Hannezo, Edouard B and Reichert, Maximilian and Bausch, Andreas R.},
  publisher    = {Zenodo},
  title        = {{Spatiotemporal dynamics of self-organized branching in pancreas-derived organoids}},
  doi          = {10.5281/ZENODO.5148117},
  year         = {2021},
}

@misc{13069,
  abstract     = {To survive elevated temperatures, ectotherms adjust the fluidity of membranes by fine-tuning lipid desaturation levels in a process previously described to be cell-autonomous. We have discovered that, in Caenorhabditis elegans, neuronal Heat shock Factor 1 (HSF-1), the conserved master regulator of the heat shock response (HSR)- causes extensive fat remodelling in peripheral tissues. These changes include a decrease in fat desaturase and acid lipase expression in the intestine, and a global shift in the saturation levels of plasma membrane’s phospholipids. The observed remodelling of plasma membrane is in line with ectothermic adaptive responses and gives worms a cumulative advantage to warm temperatures. We have determined that at least six TAX-2/TAX-4 cGMP gated channel expressing sensory neurons and TGF-β/BMP are required for signalling across tissues to modulate fat desaturation. We also find neuronal hsf-1  is not only sufficient but also partially necessary to control the fat remodelling response and for survival at warm temperatures. This is the first study to show that a thermostat-based mechanism can cell non-autonomously coordinate membrane saturation and composition across tissues in a multicellular animal.},
  author       = {Chauve, Laetitia and Hodge, Francesca and Murdoch, Sharlene and Masoudzadeh, Fatemah and Mann, Harry-Jack and Lopez-Clavijo, Andrea and Okkenhaug, Hanneke and West, Greg and Sousa, Bebiana C. and Segonds-Pichon, Anne and Li, Cheryl and Wingett, Steven and Kienberger, Hermine and Kleigrewe, Karin and de Bono, Mario and Wakelam, Michael and Casanueva, Olivia},
  publisher    = {Zenodo},
  title        = {{Neuronal HSF-1 coordinates the propagation of fat desaturation across tissues to enable adaptation to high temperatures in C. elegans}},
  doi          = {10.5281/ZENODO.5519410},
  year         = {2021},
}

@misc{13072,
  abstract     = {CpGs and corresponding mean weights for DNAm-based prediction of cognitive abilities (6 traits)},
  author       = {McCartney, Daniel L and Hillary, Robert F and Conole, Eleanor LS and Trejo Banos, Daniel and Gadd, Danni A and Walker, Rosie M and Nangle, Cliff and Flaig, Robin and Campbell, Archie and Murray, Alison D and Munoz Maniega, Susana and del C Valdes-Hernandez, Maria and Harris, Mathew A and Bastin, Mark E and Wardlaw, Joanna M and Harris, Sarah E and Porteous, David J and Tucker-Drob, Elliot M and McIntosh, Andrew M and Evans, Kathryn L and Deary, Ian J and Cox, Simon R and Robinson, Matthew Richard and Marioni, Riccardo E},
  publisher    = {Zenodo},
  title        = {{Blood-based epigenome-wide analyses of cognitive abilities}},
  doi          = {10.5281/ZENODO.5794028},
  year         = {2021},
}

@misc{13080,
  abstract     = {Data for the manuscript 'Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire' ([2006.01275] Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire (arxiv.org))

We upload a pdf with extended data sets, and the raw data for these extended datasets as well.},
  author       = {Puglia, Denise and Martinez, Esteban and Menard, Gerbold and Pöschl, Andreas and Gronin, Sergei and Gardner, Geoffrey and Kallaher, Ray and Manfra, Michael and Marcus, Charles and Higginbotham, Andrew P and Casparis, Lucas},
  publisher    = {Zenodo},
  title        = {{Data for 'Closing of the Induced Gap in a Hybrid Superconductor-Semiconductor Nanowire}},
  doi          = {10.5281/ZENODO.4592435},
  year         = {2021},
}

@inproceedings{13146,
  abstract     = {A recent line of work has analyzed the theoretical properties of deep neural networks via the Neural Tangent Kernel (NTK). In particular, the smallest eigenvalue of the NTK has been related to the memorization capacity, the global convergence of gradient descent algorithms and the generalization of deep nets. However, existing results either provide bounds in the two-layer setting or assume that the spectrum of the NTK matrices is bounded away from 0 for multi-layer networks. In this paper, we provide tight bounds on the smallest eigenvalue of NTK matrices for deep ReLU nets, both in the limiting case of infinite widths and for finite widths. In the finite-width setting, the network architectures we consider are fairly general: we require the existence of a wide layer with roughly order of N neurons, N being the number of data samples; and the scaling of the remaining layer widths is arbitrary (up to logarithmic factors). To obtain our results, we analyze various quantities of independent interest: we give lower bounds on the smallest singular value of hidden feature matrices, and upper bounds on the Lipschitz constant of input-output feature maps.},
  author       = {Nguyen, Quynh and Mondelli, Marco and Montufar, Guido},
  booktitle    = {Proceedings of the 38th International Conference on Machine Learning},
  isbn         = {9781713845065},
  issn         = {2640-3498},
  location     = {Virtual},
  pages        = {8119--8129},
  publisher    = {ML Research Press},
  title        = {{Tight bounds on the smallest Eigenvalue of the neural tangent kernel for deep ReLU networks}},
  volume       = {139},
  year         = {2021},
}

@inproceedings{13147,
  abstract     = {We investigate fast and communication-efficient algorithms for the classic problem of minimizing a sum of strongly convex and smooth functions that are distributed among n
 different nodes, which can communicate using a limited number of bits. Most previous communication-efficient approaches for this problem are limited to first-order optimization, and therefore have \emph{linear} dependence on the condition number in their communication complexity. We show that this dependence is not inherent: communication-efficient methods can in fact have sublinear dependence on the condition number. For this, we design and analyze the first communication-efficient distributed variants of preconditioned gradient descent for Generalized Linear Models, and for Newton’s method. Our results rely on a new technique for quantizing both the preconditioner and the descent direction at each step of the algorithms, while controlling their convergence rate. We also validate our findings experimentally, showing faster convergence and reduced communication relative to previous methods.},
  author       = {Alimisis, Foivos and Davies, Peter and Alistarh, Dan-Adrian},
  booktitle    = {Proceedings of the 38th International Conference on Machine Learning},
  isbn         = {9781713845065},
  issn         = {2640-3498},
  location     = {Virtual},
  pages        = {196--206},
  publisher    = {ML Research Press},
  title        = {{Communication-efficient distributed optimization with quantized preconditioners}},
  volume       = {139},
  year         = {2021},
}

@article{14800,
  abstract     = {Research on two-dimensional (2D) materials has been explosively increasing in last seventeen years in varying subjects including condensed matter physics, electronic engineering, materials science, and chemistry since the mechanical exfoliation of graphene in 2004. Starting from graphene, 2D materials now have become a big family with numerous members and diverse categories. The unique structural features and physicochemical properties of 2D materials make them one class of the most appealing candidates for a wide range of potential applications. In particular, we have seen some major breakthroughs made in the field of 2D materials in last five years not only in developing novel synthetic methods and exploring new structures/properties but also in identifying innovative applications and pushing forward commercialisation. In this review, we provide a critical summary on the recent progress made in the field of 2D materials with a particular focus on last five years. After a brief background introduction, we first discuss the major synthetic methods for 2D materials, including the mechanical exfoliation, liquid exfoliation, vapor phase deposition, and wet-chemical synthesis as well as phase engineering of 2D materials belonging to the field of phase engineering of nanomaterials (PEN). We then introduce the superconducting/optical/magnetic properties and chirality of 2D materials along with newly emerging magic angle 2D superlattices. Following that, the promising applications of 2D materials in electronics, optoelectronics, catalysis, energy storage, solar cells, biomedicine, sensors, environments, etc. are described sequentially. Thereafter, we present the theoretic calculations and simulations of 2D materials. Finally, after concluding the current progress, we provide some personal discussions on the existing challenges and future outlooks in this rapidly developing field. },
  author       = {Chang, Cheng and Chen, Wei and Chen, Ye and Chen, Yonghua and Chen, Yu and Ding, Feng and Fan, Chunhai and Fan, Hong Jin and Fan, Zhanxi and Gong, Cheng and Gong, Yongji and He, Qiyuan and Hong, Xun and Hu, Sheng and Hu, Weida and Huang, Wei and Huang, Yuan and Ji, Wei and Li, Dehui and Li, Lain Jong and Li, Qiang and Lin, Li and Ling, Chongyi and Liu, Minghua and Liu, Nan and Liu, Zhuang and Loh, Kian Ping and Ma, Jianmin and Miao, Feng and Peng, Hailin and Shao, Mingfei and Song, Li and Su, Shao and Sun, Shuo and Tan, Chaoliang and Tang, Zhiyong and Wang, Dingsheng and Wang, Huan and Wang, Jinlan and Wang, Xin and Wang, Xinran and Wee, Andrew T.S. and Wei, Zhongming and Wu, Yuen and Wu, Zhong Shuai and Xiong, Jie and Xiong, Qihua and Xu, Weigao and Yin, Peng and Zeng, Haibo and Zeng, Zhiyuan and Zhai, Tianyou and Zhang, Han and Zhang, Hui and Zhang, Qichun and Zhang, Tierui and Zhang, Xiang and Zhao, Li Dong and Zhao, Meiting and Zhao, Weijie and Zhao, Yunxuan and Zhou, Kai Ge and Zhou, Xing and Zhou, Yu and Zhu, Hongwei and Zhang, Hua and Liu, Zhongfan},
  issn         = {1001-4861},
  journal      = {Acta Physico-Chimica Sinica},
  number       = {12},
  publisher    = {Peking University},
  title        = {{Recent progress on two-dimensional materials}},
  doi          = {10.3866/PKU.WHXB202108017},
  volume       = {37},
  year         = {2021},
}

@article{14889,
  abstract     = {We consider the Fröhlich Hamiltonian with large coupling constant α. For initial data of Pekar product form with coherent phonon field and with the electron minimizing the corresponding energy, we provide a norm approximation of the evolution, valid up to times of order α2. The approximation is given in terms of a Pekar product state, evolved through the Landau-Pekar equations, corrected by a Bogoliubov dynamics taking quantum fluctuations into account. This allows us to show that the Landau-Pekar equations approximately describe the evolution of the electron- and one-phonon reduced density matrices under the Fröhlich dynamics up to times of order α2.},
  author       = {Leopold, Nikolai K and Mitrouskas, David Johannes and Rademacher, Simone Anna Elvira and Schlein, Benjamin and Seiringer, Robert},
  issn         = {2578-5885},
  journal      = {Pure and Applied Analysis},
  number       = {4},
  pages        = {653--676},
  publisher    = {Mathematical Sciences Publishers},
  title        = {{Landau–Pekar equations and quantum fluctuations for the dynamics of a strongly coupled polaron}},
  doi          = {10.2140/paa.2021.3.653},
  volume       = {3},
  year         = {2021},
}

@article{14890,
  abstract     = {We consider a system of N interacting bosons in the mean-field scaling regime and construct corrections to the Bogoliubov dynamics that approximate the true N-body dynamics in norm to arbitrary precision. The N-independent corrections are given in terms of the solutions of the Bogoliubov and Hartree equations and satisfy a generalized form of Wick's theorem. We determine the n-point correlation functions of the excitations around the condensate, as well as the reduced densities of the N-body system, to arbitrary accuracy, given only the knowledge of the two-point functions of a quasi-free state and the solution of the Hartree equation. In this way, the complex problem of computing all n-point correlation functions for an interacting N-body system is essentially reduced to the problem of solving the Hartree equation and the PDEs for the Bogoliubov two-point functions.},
  author       = {Bossmann, Lea and Petrat, Sören P and Pickl, Peter and Soffer, Avy},
  issn         = {2578-5885},
  journal      = {Pure and Applied Analysis},
  number       = {4},
  pages        = {677--726},
  publisher    = {Mathematical Sciences Publishers},
  title        = {{Beyond Bogoliubov dynamics}},
  doi          = {10.2140/paa.2021.3.677},
  volume       = {3},
  year         = {2021},
}

@inbook{14984,
  abstract     = {Hybrid zones are narrow geographic regions where different populations, races or interbreeding species meet and mate, producing mixed ‘hybrid’ offspring. They are relatively common and can be found in a diverse range of organisms and environments. The study of hybrid zones has played an important role in our understanding of the origin of species, with hybrid zones having been described as ‘natural laboratories’. This is because they allow us to study,in situ, the conditions and evolutionary forces that enable divergent taxa to remain distinct despite some ongoing gene exchange between them.},
  author       = {Stankowski, Sean and Shipilina, Daria and Westram, Anja M},
  booktitle    = {Encyclopedia of Life Sciences},
  isbn         = {9780470016176},
  publisher    = {Wiley},
  title        = {{Hybrid Zones}},
  doi          = {10.1002/9780470015902.a0029355},
  volume       = {2},
  year         = {2021},
}

@inbook{14987,
  abstract     = {The goal of zero-shot learning is to construct a classifier that can identify object classes for which no training examples are available. When training data for some of the object classes is available but not for others, the name generalized zero-shot learning is commonly used.
In a wider sense, the phrase zero-shot is also used to describe other machine learning-based approaches that require no training data from the problem of interest, such as zero-shot action recognition or zero-shot machine translation.},
  author       = {Lampert, Christoph},
  booktitle    = {Computer Vision},
  editor       = {Ikeuchi, Katsushi},
  isbn         = {9783030634155},
  pages        = {1395--1397},
  publisher    = {Springer},
  title        = {{Zero-Shot Learning}},
  doi          = {10.1007/978-3-030-63416-2_874},
  year         = {2021},
}

@misc{14988,
  abstract     = {Raw data generated from the publication - The TPLATE complex mediates membrane bending during plant clathrin-mediated endocytosis by Johnson et al., 2021 In PNAS},
  author       = {Johnson, Alexander J},
  publisher    = {Zenodo},
  title        = {{Raw data from Johnson et al, PNAS, 2021}},
  doi          = {10.5281/ZENODO.5747100},
  year         = {2021},
}

@article{15013,
  abstract     = {We consider random n×n matrices X with independent and centered entries and a general variance profile. We show that the spectral radius of X converges with very high probability to the square root of the spectral radius of the variance matrix of X when n tends to infinity. We also establish the optimal rate of convergence, that is a new result even for general i.i.d. matrices beyond the explicitly solvable Gaussian cases. The main ingredient is the proof of the local inhomogeneous circular law [arXiv:1612.07776] at the spectral edge.},
  author       = {Alt, Johannes and Erdös, László and Krüger, Torben H},
  issn         = {2690-1005},
  journal      = {Probability and Mathematical Physics},
  number       = {2},
  pages        = {221--280},
  publisher    = {Mathematical Sciences Publishers},
  title        = {{Spectral radius of random matrices with independent entries}},
  doi          = {10.2140/pmp.2021.2.221},
  volume       = {2},
  year         = {2021},
}

@article{15254,
  abstract     = {We consider the problem of reliable communication over a network containing a hidden myopic adversary who can eavesdrop on some zro links, jam some zwo links, and do both on some zrw links. We provide the first information-theoretically tight characterization of the optimal rate of communication possible under all possible settings of the tuple (zro,zwo,zrw) by providing a novel coding scheme/analysis for a subset of parameter regimes. In particular, our vanishing-error schemes bypass the Network Singleton Bound (which requires a zero-error recovery criteria) in a certain parameter regime where the capacity had been heretofore open. As a direct corollary we also obtain the capacity of the corresponding problem where information-theoretic secrecy against eavesdropping is required in addition to reliable communication.},
  author       = {Li, Sijie and Bitar, Rawad and Jaggi, Sidharth and Zhang, Yihan},
  issn         = {2641-8770},
  journal      = {IEEE Journal on Selected Areas in Information Theory},
  number       = {4},
  pages        = {1108--1119},
  publisher    = {IEEE},
  title        = {{Network coding with myopic adversaries}},
  doi          = {10.1109/JSAIT.2021.3126474},
  volume       = {2},
  year         = {2021},
}

@article{15259,
  abstract     = {We consider words Gi1⋯Gim involving i.i.d. complex Ginibre matrices and study tracial expressions of their eigenvalues and singular values. We show that the limit distribution of the squared singular values of every word of length m is a Fuss–Catalan distribution with parameter 
m+1. This generalizes previous results concerning powers of a complex Ginibre matrix and products of independent Ginibre matrices. In addition, we find other combinatorial parameters of the word that determine the second-order limits of the spectral statistics. For instance, the so-called coperiod of a word characterizes the fluctuations of the eigenvalues. We extend these results to words of general non-Hermitian matrices with i.i.d. entries under moment-matching assumptions, band matrices, and sparse matrices.
These results rely on the moments method and genus expansion, relating Gaussian matrix integrals to the counting of compact orientable surfaces of a given genus. This allows us to derive a central limit theorem for the trace of any word of complex Ginibre matrices and their conjugate transposes, where all parameters are defined topologically.},
  author       = {Dubach, Guillaume and Peled, Yuval},
  issn         = {0091-1798},
  journal      = {The Annals of Probability},
  keywords     = {Statistics, Probability and Uncertainty, Statistics and Probability},
  number       = {4},
  pages        = {1886--1916},
  publisher    = {Institute of Mathematical Statistics},
  title        = {{On words of non-Hermitian random matrices}},
  doi          = {10.1214/20-aop1496},
  volume       = {49},
  year         = {2021},
}

@article{15260,
  abstract     = {Significant advances in the synthesis and processing of colloidal nanocrystals have given scientists and engineers access to a vast library of building blocks with precisely defined size, shape, and composition. These materials have inspired exciting prospects to enable bottom-up fabrication of programmable materials with properties by design. Successfully assembling and connecting the building blocks into superstructures in which constituent nanocrystals can purposefully interact requires robust understanding of and control over a complex interplay of dynamic physicochemical processes. Fluid interfaces provide an advantageous experimental workbench to both probe and control these processes. Despite the ostensible simplicity of fabricating nanocrystal assemblies at a fluid interface, sensitivity to processing conditions and limited reproducibility have underscored the complexity of this process. In situ studies have provided mechanistic insights into the competing dynamics of key subprocesses including solvent spreading and evaporation, superlattice formation, ligand detachment kinetics, and nanocrystal attachment. Understanding how these subprocesses influence the complex choreography of self-assembly, structure transformation, and oriented attachment processes presents a rich research challenge. In this context, we present a detailed methodology for self-assembly and attachment of lead chalcogenide nanocrystals at a liquid–gas interface as a model system for the fabrication of mono- and multilayer cubic connected superlattices. We discuss key experimental parameters such as the characteristics of the building blocks and processing conditions and detailed steps from colloidal nanocrystal injection to superlattice transfer. We hope that this Methods/Protocols paper will provide guidance for future advances in the exciting path toward bringing the prospect of nanocrystal-based programmable materials to fruition.},
  author       = {Cimada daSilva, Jessica and Balazs, Daniel and Dunbar, Tyler A. and Hanrath, Tobias},
  issn         = {1520-5002},
  journal      = {Chemistry of Materials},
  keywords     = {Materials Chemistry, General Chemical Engineering, General Chemistry},
  number       = {24},
  pages        = {9457--9472},
  publisher    = {American Chemical Society},
  title        = {{Fundamental processes and practical considerations of lead chalcogenide mesocrystals formed via self-assembly and directed attachment of nanocrystals at a fluid interface}},
  doi          = {10.1021/acs.chemmater.1c02910},
  volume       = {33},
  year         = {2021},
}

