Results 11 to 20 of about 1,280,497 (284)

Development and Validation of ARC, a Model for Anticipating Acute Respiratory Failure in Coronavirus Disease 2019 Patients

Critical Care Explorations, 2021
OBJECTIVES:. To evaluate factors predictive of clinical progression among coronavirus disease 2019 patients following admission, and whether continuous, automated assessments of patient status may contribute to optimal monitoring and management. DESIGN:.
Suchi Saria, PhD, Peter Schulam, PhD, Brian J. Yeh, PhD, Daniel Burke, MD, MBA, Sean D. Mooney, PhD, Christine T. Fong, MS, Jacob E. Sunshine, MD, Dustin R. Long, MD, Vikas N. O’Reilly-Shah, MD, PhD   +8 more
doaj   +1 more source

Bayesian Econometrics [PDF]

Journal of Risk and Financial Management, 2020
Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications. One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties,
Bernardi Mauro, Grassi Stefano, Ravazzolo Francesco   +2 more
openaire   +5 more sources

Impact of COVID-19 pandemic on African indigenous vegetables value chain in Kenya

Agriculture & Food Security, 2021
Background African indigenous vegetables are important for food security and nutrition, and income of the poor farm households. In the era of COVID-19, they are critical for boosting people’s immunity. Unfortunately, both production of and trade in these
Maurice Juma Ogada, Ochieng’ Justus, Maina Paul, Sikei Geophrey Omondi, Adero Nashon Juma, Evans Taracha, Hassan Ahmed   +6 more
doaj   +1 more source

Assigning metabolic rate measurements to torpor and euthermy in heterothermic endotherms: ‘torpor’, a new package for R

Biology Open, 2022
Torpor is a state of controlled reduction of metabolic rate (M) in endotherms. Assigning measurements of M to torpor or euthermy can be challenging, especially when the difference between euthermic M and torpid M is small, in species defending a high ...
Nicolas J. Fasel, Colin Vullioud, Michel Genoud   +2 more
doaj   +1 more source

Genetic evaluation of eggshell color based on additive and dominance models in laying hens [PDF]

Asian-Australasian Journal of Animal Sciences, 2020
Objective Eggshells with a uniform color and intensity are important for egg production because many consumers assess the quality of an egg according to the shell color.
Jun Guo, Kehua Wang, Liang Qu, Taocun Dou, Meng Ma, Manman Shen, Yuping Hu   +6 more
doaj   +1 more source

Potential estimation model in French alpine skiing - Individual evolution curve and progression typology

Frontiers in Physiology, 2023
Estimating the potential of alpine skiers is an unresolved question, especially because of the complexity of sports performance. We developed a potential estimation model based solely on the evolution of performance as a function of age. A bayesian mixed
Quentin De Larochelambert, Quentin De Larochelambert, Quentin De Larochelambert, Kilian Barlier, Imad Hamri, Audrey Difernand, Adrien Sedeaud, Jean François Toussaint, Jean François Toussaint, Juliana Antero, Pierre-Yves Louis, Pierre-Yves Louis, Nicolas Coulmy   +12 more
doaj   +1 more source

Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction

Remote Sensing, 2022
The enormous increase in the volume of Earth Observations (EOs) has provided the scientific community with unprecedented temporal, spatial, and spectral information.
Hamze Dokoohaki, Teerath Rai, Marissa Kivi, Philip Lewis, Jose L. Gómez-Dans, Feng Yin   +5 more
doaj   +1 more source

Pertinence of Predictive Models as Regards the Behavior of Observed Biological and Artificial Phenomena [PDF]

Athens Journal of Health and Medical Sciences, 2021
In this assessment, we have made an effort of synthesis on the role of theoretical and observational investigations in the analysis of the concepts and functioning of different natural biological and artificial phenomena.
Adel Razek
doaj   +1 more source

Approximate Learning of High Dimensional Bayesian Network Structures via Pruning of Candidate Parent Sets

Entropy, 2020
Score-based algorithms that learn Bayesian Network (BN) structures provide solutions ranging from different levels of approximate learning to exact learning.
Zhigao Guo, Anthony C. Constantinou
doaj   +1 more source

Machine learning based on landslide susceptibility assessment with Bayesian optimized the hyperparameters

地质科技通报, 2022
In machine learning-based landslide susceptibility assessment, there are some differences in the evaluation results obtained by using different hyperparameters.
Can Yang, Leilei Liu, Yili Zhang, Wenqing Zhu, Shaohe Zhang   +4 more
doaj   +1 more source