17 papers · ranked by Valyu relevance
Kyle Bojanek, Olivier Marre, Stephanie E. Palmer
Populations of sensory neurons are thought to be shaped by selective pressures for optimal information transmission, yet real neural circuits display substantial variability across stimulus repeats, across time, and between individuals. Reconciling this variability with normative theories requires understanding not…
Huanqiu Zhang, Israel Nelken, Tatyana Sharpee
Deciphering the neural code requires identifying its fundamental symbols or code-words. Neural activity is usually interpreted either as a rate code – based on average spike counts – or as a temporal code, which distinguishes patterns with identical counts. Yet, the symbols of the code remain undefined. Here we show…
Fernando Martínez-García, Francisco Revson F. Pereira, Pedro Parrado-Rodríguez, Yauhen Yakimenka + 1 more
The development and use of large-scale quantum computers relies on integrating quantum error-correcting (QEC) schemes into the quantum computing pipeline. A fundamental part of the QEC protocol is the decoding of the syndrome to identify a recovery operation with a high success rate. In this work, we implement a…
Yuan Xu, Kylie Chen, Dong Xie, Alexei J Drummond + 1 more
Bayesian phylodynamic models have become essential for reconstructing population history from genetic data, yet their accuracy depends crucially on choosing appropriate demographic models. To address uncertainty in model choice, we introduce a Bayesian model averaging (BMA) framework that integrates multiple parametric…
Kasia M. Parfitt, Ben Pascoe, Keith A. Jolley, Amy Douglas + 4 more
Campylobacter remains the leading cause of bacterial gastroenteritis worldwide, with C. jejuni accounting for around 90% of infection and C. coli accounting for most of the rest. Seven-locus multilocus sequence typing (MLST) has improved our understanding of host association and population structure, whilst core genome…
Zhixiao Zhu, Maria D. Christodoulou, David Steinsaltz
The integration of Gaussian Process (GP) models with Approximate Bayesian Com-putation (ABC) has been explored as a flexible framework for constructing Integral Projection Models (IPMs), enabling non-parametric modelling of demographic rela-tionships and the incorporation of population-level information without…
Anastasia Unitt, Made A Krisna, Kasia M Parfitt, Keith A Jolley + 4 more
Investigation of the bacterial pathogen Neisseria gonorrhoeae is complicated by extensive horizontal gene transfer: a process which disrupts phylogenetic signals and impedes our understanding of population structure. The ability to consistently identify N. gonorrhoeae lineages is important for surveillance of this…
Helen Curtis, Peter Inglesby, Ben Goldacre, Rose Higgins + 4 more
We discovered that the official list of clinical codes for pregnancy during the COVID-19 pandemic identified some unlikely pregnancies (for example, in older men), principally due to a code describing a specific fetal position (“knee presentation”), which notably lacks “fetal” in the code description. This is an…
Andrea Musso, Diego Rybski, Dirk Helbing, Frank Neffke
The share of the world population living in cities with more than one million people rose from 11% in 1975 to 24% in 2025 (our estimates). Will this trend towards greater concentration in large cities continue or level off? We introduce two new city population datasets that use consistent city definitions across…
Authors not listed
High-level quantum mechanical (QM) simulations provide accurate electronic information of chemical systems but scale unfavourably with system size, making calculations of applied systems challenging. Hierarchical quantum mechanics in quantum mechanics embedding (QM/QM) addresses this issue by localising the highly…
Barragan, Sandra, Pérez-Bote, Adrián + 6 more
We provide a description of pilot and production experiences to streamline some business functions in the official statistical production process using statistical learning models. Our approach is quality-oriented searching for an improvement on accuracy, cost-efficiency, timeliness, granularity, response burden…
Juan Cruz-Benito, Andrew W. Cross, David Kremer, Ismael Faro
Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any candidates found. We introduce an LLM-guided evolutionary workflow in which language models mutate Python programs that generate bivariate-bicycle and perturbed…
Jiang Shu, Danai Kasambira Fannin, Geraldine Dawson, Gary Maslow + 3 more
We next applied the learned classification model to the population-based classification task. Using just the clinical notes, we classified any encounter as speech-language delay whenever the model-predicted probability of speech-language delay was greater than 90%. This high threshold was selected to prioritize…
Robert W. Hurley, Daniel Guth, Elaine L. Hill, Meredith C. B. Adams + 1 more
The low sensitivity and high specificity pattern indicate that Z79.891 functions as a confirmatory code: its presence signals clinician recognition of LTOT, but its absence does not exclude LTOT. This is consistent with the dependence on clinician documentation behavior rather than objective measurement. Notably, PPV…
Tom Pollard, Thomas Sounack, Catherine A. Gao, Leo Anthony Celi + 5 more
Introduction The Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis (TRIPOD) statement was published to improve the reporting and critical appraisal of prediction model studies for diagnosis and prognosis. This paper describes the processes and methods that will be used to…
Authors not listed
Tools quantifying co-pollutant and public health benefits of decarbonization policies typically have coarse resolution, limiting understanding of local impacts and underestimating benefits. We present the New York Community-Scale Health and Air Pollution Policy Analysis tool, a new high resolution modeling framework to…
Elijah Zolduoarrati, Sherlock A. Licorish, Nigel Stanger
Developers frequently reuse Stack Overflow code snippets, yet the quality of these snippets remains unevenly understood, particularly across programming languages and geographic contexts. This study investigates code quality in Stack Overflow answers from contributors located in the United States, focusing on SQL…