Ex-ante measure of patent quality reveals intrinsic fitness for citation-network growth

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This work examines the problem of learning the topology of a network (graph learning) from the signals produced at a subset of the network nodes (partial observability). This challenging problem was recently tackled assuming that the topology is drawn acco ...

We study how permutation symmetries in overparameterized multi-layer neural networks generate `symmetry-induced' critical points. Assuming a network with

L

layers of minimal widths

r_1^*, \ldots, r_{L-1}^*

reaches a zero-loss minimum at $ r_1^*! \c ...

We generate a biphoton frequency comb from an integrated 40.4 GHz silicon nitride microring and probe the phase coherence through electro-optic mixing of the frequency bins followed by time-resolved detection of the time-correlation function. (c) 2021 The ...

The United States patent system is unique in that it requires applicants to cite documents they know to be relevant to the examination of their patent applications. Lampe (2012) presents evidence that applicants strategically withhold 21-33% of relevant ci ...

Streams are key components of the global carbon (C) cycle. The river network conceptualization moved from the pipelineâ idea, in which C is solely transported, to the active ecosystemâ concept, in which both terrestrial derived and autochthonous C ...

We study the critical O(3) model using the numerical conformal bootstrap. In particular, we use a recently developed cutting-surface algorithm to efficiently map out the allowed space of conformal field theory data from correlators involving the leading O( ...

Streams and rivers form dense networks that drain the terrestrial landscape and are relevant for biodiversity dynamics, ecosystem functioning, and transport and transformation of carbon. Yet, resolving in both space and time gross primary production (GPP), ...

Inferring the organization of fluorescently labeled nanosized structures from single molecule localization microscopy (SMLM) data, typically obscured by stochastic noise and background, remains challenging. To overcome this, we developed a method to extrac ...

This study presents a new methodology for obtaining functional brain networks (FBNs) using multichannel scalp EEG recordings. The developed methodology extracts pair-wise phase synchrony between EEG electrodes to obtain FBNs at delta, theta, and alpha-band ...

The operation principle of a semiconductor nanowire (NW) ion-sensitive field-effect transistor (ISFET), denoted for pH sensing, is studied within the framework of this work. The physical processes in the system are mathematically modelled and presented in ...

Stroke patients vary considerably in terms of outcomes: some patients present ‘natural’ recovery proportional to their initial impairment (fitters), while others do not (non-fitters). Thus, a key challenge in stroke rehabilitation is to identify individual ...

This thesis addresses the question of a patent value from three different angles. It comprises three papers on the patent valuation methods. The patent valuation issues are well-known to the world of research and practice. However, the debates over what th ...

We develop random graph models where graphs are generated by connecting not only pairs of vertices by edges, but also larger subsets of vertices by copies of small atomic subgraphs of arbitrary topology. This allows for the generation of graphs with extens ...

Patent marking is used by patentees to provide a form of notice to the public about the existence of a patent and can increase damages awarded in cases of infringement. Historically, marking is done by listing the associated patents on the product they cov ...

A new set of analytical formulae for calculating the bootstrap current and the neoclassical conductivity in tokamak experiments is presented. Previous works comparing the widely used Sauter model with results of recently developed numerical neoclassical so ...

Motivation: Finding biosynthetic pathways is essential for metabolic engineering of organisms to produce chemicals, biodegradation prediction of pollutants and drugs, and for the elucidation of bioproduction pathways of secondary metabolites. A key step in ...

Inventions of foreign origin are about ten percentage points less likely to be granted a U.S. patent than domestic inventions. An empirical analysis of 1.5 million U.S. patent applications identifies three systematic differences between foreign and domesti ...

Ex-ante measure of patent quality reveals intrinsic fitness for citation-network growth

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Learning Bollobas-Riordan Graphs Under Partial Observability

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances

Time-resolved detection of phase-coherent biphoton frequency combs from Si3N4 microring

Strategic Citation: A Reassessment

Modeling of Stream Metabolism from Reach-scale to the Scale of Entire River Networks

Bootstrapping Heisenberg magnets and their cubic instability

The Metabolic Regimes at the Scale of an Entire Stream Network Unveiled Through Sensor Data and Machine Learning

Nanoscale Pattern Extraction from Relative Positions of Sparse 3D Localizations

An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure

Theoretical Studies of Nanowire Ion-Sensitive Field Effect Transistor

The structural connectome and motor recovery after stroke: predicting natural recovery

The triangular value of patents

Atomic subgraphs and the statistical mechanics of networks

Wanted: A standard for virtual patent marking

A new set of analytical formulae for the computation of the bootstrap current and the neoclassical conductivity in tokamaks

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Discrimination against foreigners in the U.S. patent system