Results 31 to 40 of about 872,279 (317)

Accuracy of circulating adiponectin for predicting gestational diabetes : a systematic review and meta-analysis [PDF]

, 2016
Aims/hypothesis Universal screening for gestational diabetes mellitus (GDM) has not been implemented, and this has had substantial clinical implications. Biomarker-directed targeted screening might be feasible.
Kelsey, Tom, Stamatina Iliodromiti, Nelson, Scott M., Iliodromiti, S, Sattar, N, Thomas W. Kelsey, Sattar, Naveed, Kelsey, TW, Robert S. Lindsay, Sassarini, J, Scott M. Nelson, Jennifer Sassarini, Sassarini, Jennifer, Naveed Sattar, Lindsay, Robert S., Nelson, SM, Iliodromiti, Stamatina, Kelsey, Thomas W., Lindsay, R, Nelson, S, Lindsay, RS   +20 more
core   +1 more source

Using Artificial Neural Network for Predicting and Evaluating Situation Awareness of Operator

IEEE Access, 2021
The decrease of situation awareness (SA) is one of reasons leading to human factor accidents in nuclear power plants. The main purpose of this paper is to the evaluation and prediction the operators’ SA in digital main control room.
Shengyuan Yan, Kai Yao, Cong Chi Tran
doaj   +1 more source

Prediction Accuracy of Dynamic Mode Decomposition

SIAM Journal on Scientific Computing, 2020
Dynamic mode decomposition (DMD), which the family of singular-value decompositions (SVD), is a popular tool of data-driven regression. While multiple numerical tests demonstrated the power and efficiency of DMD in representing data (i.e., in the interpolation mode), applications of DMD as a predictive tool (i.e., in the extrapolation mode) are scarce.
Hannah Lu, Daniel M. Tartakovsky
openaire   +3 more sources

Enhancing Genomic Prediction Accuracy of Reproduction Traits in Rongchang Pigs Through Machine Learning

Animals
The increasing volume of genome sequencing data presents challenges for traditional genome-wide prediction methods in handling large datasets. Machine learning (ML) techniques, which can process high-dimensional data, offer promising solutions.
Junge Wang, Jie Chai, Li Chen, Tinghuan Zhang, Xi Long, Shuqi Diao, Dong Chen, Zongyi Guo, Guoqing Tang, Pingxian Wu   +9 more
doaj   +1 more source

Genomic selection for resistance to spruce budworm in white spruce and relationships with growth and wood quality traits

Evolutionary Applications, 2020
With climate change, the pressure on tree breeding to provide varieties with improved resilience to biotic and abiotic stress is increasing. As such, pest resistance is of high priority but has been neglected in most tree breeding programs, given the ...
Jean Beaulieu, Simon Nadeau, Chen Ding, Jose M. Celedon, Aïda Azaiez, Carol Ritland, Jean‐Philippe Laverdière, Marie Deslauriers, Greg Adams, Michele Fullarton, Joerg Bohlmann, Patrick Lenz, Jean Bousquet   +12 more
doaj   +1 more source

Employing Variable Cross-Reference Prediction and Iterative Dispatch to Raise Dynamic Branch Prediction Accuracy [PDF]

, 2010
To improve branch prediction accuracy for the two-level adaptive branch predictor, two schemes dealing respectively with the prediction and dispatch parts, are presented in this paper.
莊博任; Chuang, Po-jen; 邱育賢; Chiu, Yu-shian; 蕭永宗; HsiaoYoung-tzong; Liau, Yue-ter
core   +1 more source

A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR

Tehnički Glasnik
The prediction of cardiovascular disease gained immense significance in the medical field with the alignment of increasing focus on promoting healthier lifestyle.
Mounika Valasapalli, Nallagatla Raghavendra Sai   +1 more
doaj   +1 more source

Accuracy of Intraocular Lens Power Estimation in Eyes Having Phacovitrectomy for Rhegmatogenous Retinal Detachment

, 2014
Purpose: To evaluate the accuracy of intraocular lens power estimation in eyes having phacovitrectomy for rhegmatogenous retinal detachment. Methods: Retrospective case review of 100 consecutive eyes that underwent phacovitrectomy for rhegmatogenous ...
Stephenson, John, Bong, Chun Xiao, Rahman, Rubina   +2 more
core   +1 more source

Enhancing construction safety management through multivariable grey model analysis and variable selection optimization

Journal of Civil Engineering and Management
In this study, a multivariable grey model (GM(1, N)) is employed to explore how different combinations of variables impact the accuracy of construction accident prediction, using a full permutation algorithm.
Jian Liu, Ye He, Rui Feng, Qinlin Chu
doaj   +1 more source

Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage

Frontiers in Plant Science, 2021
To enable a scalable sparse testing genomic selection (GS) strategy at preliminary yield trials in the CIMMYT maize breeding program, optimal approaches to incorporate genotype by environment interaction (GEI) in genomic prediction models are explored ...
Sikiru Adeniyi Atanda, Sikiru Adeniyi Atanda, Sikiru Adeniyi Atanda, Michael Olsen, Jose Crossa, Juan Burgueño, Renaud Rincent, Daniel Dzidzienyo, Yoseph Beyene, Manje Gowda, Kate Dreher, Prasanna M. Boddupalli, Pangirayi Tongoona, Eric Yirenkyi Danquah, Gbadebo Olaoye, Kelly R. Robbins   +15 more
doaj   +1 more source