Zobrazeno 1 - 10
of 12 677
pro vyhledávání: '"An Pas"'
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
The avian gut microbiota has been the subject of considerable recent attention, with potential implications for diverse fields such as the poultry industry, microbial ecology, and conservation. Faecal microbiotas are frequently used as a non-invasive
Externí odkaz:
https://doaj.org/article/2c19f23813b147c29f9f656bfa9aa8f3
Autor:
Annie G. West, Anne DeLaunay, Phil Marsh, Elena K. Perry, Megan Jolly, Brett D. Gartrell, An Pas, Andrew Digby, Michael W. Taylor
Publikováno v:
Animal Microbiome, Vol 4, Iss 1, Pp 1-15 (2022)
Abstract Background The Aotearoa New Zealand takahē (Porphyrio hochstetteri), once thought to be extinct, is a nationally threatened flightless rail under intensive conservation management. While there has been previous research into disease-related
Externí odkaz:
https://doaj.org/article/080c8dcebfde43efb545f6f426ca55ee
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of a unique identifier often poses challenges. Record linkage procedures
Externí odkaz:
http://arxiv.org/abs/2407.06835
The regression discontinuity design (RDD) is a quasi-experimental approach used to estimate the causal effects of an intervention assigned based on a cutoff criterion. RDD exploits the idea that close to the cutoff units below and above are similar;
Externí odkaz:
http://arxiv.org/abs/2406.11585
Publikováno v:
Journal of Veterinary Internal Medicine, Vol 38, Iss 6, Pp 3367-3383 (2024)
Abstract Background Sepsis is a main contributor to calf mortality, but diagnosis is difficult. Objectives Develop and validate a predictive model for bacteremia in critically ill calves (CIC). Animals A total of 334 CIC, sampled for blood culture. M
Externí odkaz:
https://doaj.org/article/a77e26fbaae34f9a9f4a72e82a157c9e
This work presents PANTR, an efficient solver for nonconvex constrained optimization problems, that is well-suited as an inner solver for an augmented Lagrangian method. The proposed scheme combines forward-backward iterations with solutions to trust
Externí odkaz:
http://arxiv.org/abs/2306.17119
In causal inference, sensitivity analysis is important to assess the robustness of study conclusions to key assumptions. We perform sensitivity analysis of the assumption that missing outcomes are missing completely at random. We follow a Bayesian ap
Externí odkaz:
http://arxiv.org/abs/2305.06816
The proximal point algorithm (PPA) is the most widely recognized method for solving inclusion problems and serves as the foundation for many numerical algorithms. Despite this popularity, its convergence results have been largely limited to the monot
Externí odkaz:
http://arxiv.org/abs/2305.03605
Caliper matching is used to estimate causal effects of a binary treatment from observational data by comparing matched treated and control units. Units are matched when their propensity scores, the conditional probability of receiving treatment given
Externí odkaz:
http://arxiv.org/abs/2304.08373
Publikováno v:
IFAC-PapersOnLine 56(2):4852-4857 (2023)
PANOC is an algorithm for nonconvex optimization that has recently gained popularity in real-time control applications due to its fast, global convergence. The present work proposes a variant of PANOC that makes use of Gauss-Newton directions to acce
Externí odkaz:
http://arxiv.org/abs/2212.04391