23 papers · ranked by Valyu relevance
András Szilágyi, Ádám Kun, Eörs Szathmáry, Suzannah Rutherford
The error threshold of replication limits the selectively maintainable genome size against recurrent deleterious mutations for most fitness landscapes. In the context of RNA replication a distinction between the genotypic and the phenotypic error threshold has been made; where the latter concerns the maintenance of…
J. J Bull, Lauren Ancel Meyers, Michael Lachmann
Quasispecies are clouds of genotypes that appear in a population at mutation-selection balance. This concept has recently attracted the attention of virologists, because many RNA viruses appear to generate high levels of genetic variation that may enhance the evolution of drug resistance and immune escape. The…
Yichen Xu, Yiqing Zhou, James P. Sethna, Eun-Ah Kim
The threshold theorem promises a path to fault-tolerant quantum computation by suppressing logical errors, provided the physical error rate is below a critical threshold. While transversal gates offer an efficient method for implementing logical operations, they risk spreading errors and potentially lowering this…
Authors not listed
This study presents a validation and refinement of the “yellow cards” error detection workflow that can be applied to any property connected to molecular structure. In our implementation the workflow employed 5 predictive models with each assigning a “yellow card” to 5% of the entries with worst prediction accuracy.…
Yuval R. Sanders, Joel J. Wallman, Barry C. Sanders
1 Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 2Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 3Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 4 Institute for Quantum Science and…
Hyunwoo Cho, Hyuk-Jin Yoon, Ju-Yeong Jung
When diagnosing the condition of a structure, it is necessary to measure the widths of any existing cracks in the structure. To ensure safety when relying on images of cracks, the selected imaging parameters and processing technology must be well understood. In this study, the effects of the ground sample distance and…
Shi Jie Samuel Tan, Christopher A. Pattison, Matt McEwen, John Preskill
'John Preskill'] Quantum error correction works effectively only if the error rate of gate operations is sufficiently low. However, some rare physical mechanisms can cause a temporary increase in the error rate that affects many qubits; examples include ionizing radiation in superconducting hardware and large…
Jing Hao Chai, Hui Khoon Ng
Fault-tolerant quantum computing based on surface codes has emerged as a popular route to large-scale quantum computers capable of accurate computation even in the presence of noise. Its popularity is, in part, because the fault-tolerance or accuracy threshold for surface codes is believed to be less stringent than…
Tadashi Wadayama
In this paper, an information theoretic analysis on non-adaptive group testing schemes based on sparse pooling graphs i s presented. The binary status of the objects to be tested are modeled by i.i.d. Bernoulli random variables with probability p. An (l, r, n )-regular pooling graph is a bipartite graph with left node…
Mustafa Ozen, Tomasz Lipniacki, Andre Levchenko, Effat S. Emamian + 1 more
Characterization of decision makings in a cell in response to received signals is of high importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochemical processes. In this paper, we present a unified set of…
Arun Srinivasan
In high-dimensional classification settings, we wish to seek a balance between high power and ensuring control over a desired loss function. In many settings, the points most likely to be misclassified are those who lie near the decision boundary of the given classification method. Often, these uninformative points…
Jacob Beal, Brian Teague, John T. Sexton, Sebastian Castillo-Hair + 4 more
Reliable, predictable engineering of cellular behavior is one of the key goals of synthetic biology. As the field matures, biological engineers will become increasingly reliant on computer models that allow for the rapid exploration of design space prior to the more costly construction and characterization of candidate…
Farrokh Habibzadeh
Background p value is the most common statistic reported in scientific research articles. Choosing the conventional threshold of 0.05 commonly used for the p value in research articles, is unfounded. Many researchers have tried to provide a reasonable threshold for the p value; some proposed a lower threshold, eg…
Robert C. Wilson, Amitai Shenhav, Mark Straccia, Jonathan D. Cohen
Researchers and educators have long wrestled with the question of how best to teach their clients be they human, animal or machine. Here we focus on the role of a single variable, the difficulty of training, and examine its effect on the rate of learning. In many situations we find that there is a sweet spot in which…
Simon Iveson, Kevin Galvin
This paper presents a simple relationship for estimating the uncertainty in the overall yield and species recovery when the two-product formula is applied to assays of the feed, product and tailings streams of a steady-state mineral separator. The non-linearity of the two-product formula means the reliability of these…
Xuan Chen, Fabrice Bailleux, Kamal Desai, Li Qin + 1 more
After publication of the original article , it came to the authors’ attention that there was an error in the Testing for the existence of a threshold sub-section of the Methods. Two formulae originally published in this sub-section were incorrect; the correct expressions are the negatives of the expressions published.…
Zheng Zhang, Timothy G. Constandinou
This paper assesses and challenges whether commonly used methods for defining amplitude thresholds for spike detection are optimal. This is achieved through empirical testing of single amplitude thresholds across multiple recordings of varying SNR levels. Our results suggest that the most widely used…
Frank Emmert‐Streib, Salisou Moutari, Matthias Dehmer
Binary decision making is a topic of great interest for many fields, including biomedical science, economics, management, politics, medicine, natural science and social science, and much effort has been spent for developing novel computational methods to address problems arising in the aforementioned fields. However…
Jing-he Wang, Jafar Tavoosi, Ardashir Mohammadzadeh, Saleh Mobayen + 5 more
'Jihad H. Asad' 'Wudhichai Assawinchaichote' 'Mai The Vu' 'Paweł Skruch' 'Andrea Cataldo'] The main contribution of this paper is to develop a new flowmeter fault detection approach based on optimized non-singleton type-3 (NT3) fuzzy logic systems (FLSs). The introduced method is implemented on an experimental gas…
Maria H. Rasmussen, Chenru Duan, Heather J. Kulik, Jan Halborg Jensen
With the increasingly more important role of machine learning (ML) models in chemical research, the need for putting a level of confidence to the model predictions naturally arises. Several methods for obtaining uncertainty estimates have been proposed in recent years but consensus on the evaluation of these have yet…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for emission event detection, localization, and quantification on oil and gas production sites that uses concentration data collected by pointin-space continuous monitoring systems (CMS). The framework uses a gradient-based spike detection algorithm to estimate emission start and…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for methane emission event detection, localization, and quantification on oil and gas production sites that uses concentration and wind data collected by point-in-space continuous monitoring systems. The framework uses a gradient-based spike detection algorithm to estimate…
Martín Carballo-Pacheco, Jonathan Desponds, Tatyana Gavrilchenko, Andreas Mayer + 4 more
Cells need to reliably sense external ligand concentrations to achieve various biological functions such as chemotaxis or signaling. The molecular recognition of ligands by surface receptors is degenerate in many systems leading to crosstalk between different receptors. Crosstalk is often thought of as a deviation from…