Results 81 to 90 of about 141,753 (193)

Identification of putative markers linked to grain plumpness in rice (Oryza sativa L.) via association mapping

BMC Genetics, 2017
Background Poor grain plumpness (GP) is one of the main constraints to reaching the yield potential of hybrid rice. Results In this study, the GP of 177 rice varieties was investigated in three locations across 2 years.
Erbao Liu, Siyuan Zeng, Xiangong Chen, Xiaojing Dang, Lijun Liang, Hui Wang, Zhiyao Dong, Yang Liu, Delin Hong   +8 more
doaj   +1 more source

Analytical Study of the Julia Set of a Coupled Generalized Logistic Map

, 1998
A coupled system of two generalized logistic maps is studied. In particular influence of the coupling to the behaviour of the Julia set in two dimensional complex space is analyzed both analytically and numerically.
Beardon A., Saito S., Saitoh N.
core   +2 more sources

Analysis of dental caries using generalized linear and count regression models [PDF]

Revista Română de Statistică, 2013
Generalized linear models (GLM) are generalization of linear regression models, which allow fitting regression models to response data in all the sciences especially medical and dental sciences that follow a general exponential family. These are flexible
Javali M. Phil, Parameshwar V. Pandit
doaj  

Comparing fNIRS signal qualities between approaches with and without short channels.

PLoS ONE, 2020
Functional near-infrared spectroscopy (fNIRS) is a non-invasive technique used to measure changes in oxygenated (HbO) and deoxygenated (HbR) hemoglobin, related to neuronal activity.
Xin Zhou, Gabriel Sobczak, Colette M McKay, Ruth Y Litovsky   +3 more
doaj   +1 more source

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data

npj Digital Medicine
Clinical insights from real-world data often require aggregating information from institutions to ensure sufficient sample sizes and generalizability. However, patient privacy concerns only limit the sharing of patient-level data, and traditional federated learning algorithms, relying on extensive back-and-forth communications, can be inefficient to ...
Wu, Qiong, Reps, Jenna M., Li, Lu, Zhang, Bingyu, Lu, Yiwen, Tong, Jiayi, Zhang, Dazheng, Lumley, Thomas, Brand, Milou T., Van Zandt, Mui, Falconer, Thomas, He, Xing, Huang, Yu, Li, Haoyang, Yan, Chao, Tang, Guojun, Williams, Andrew E., Wang, Fei, Bian, Jiang, Malin, Bradley, Hripcsak, George, Schuemie, Martijn J., Lu, Yun, Drew, Steve, Zhou, Jiayu, Asch, David A., Chen, Yong   +26 more
openaire   +2 more sources

Reciprocal Benefits of Mass-Univariate and Multivariate Modeling in Brain Mapping: Applications to Event-Related Functional MRI, H215O-, and FDG-PET

International Journal of Biomedical Imaging, 2006
In brain mapping studies of sensory, cognitive, and motor operations, specific waveforms of dynamic neural activity are predicted based on theoretical models of human information processing. For example in event-related functional MRI (fMRI), the general
James R. Moeller, Christian G. Habeck
doaj   +1 more source

Relative trace formulae toward Bessel and Fourier-Jacobi periods of unitary groups [PDF]

, 2010
We propose a relative trace formula approach and state the corresponding fundamental lemma toward the global restriction problem involving Bessel or Fourier-Jacobi periods of unitary groups $\mathrm{U}_n\times\mathrm{U}_m$, extending the work of Jacquet ...
Liu, Yifeng
core  

An Empirical Comparison of Multiple Imputation Methods for Categorical Data

, 2016
Multiple imputation is a common approach for dealing with missing values in statistical databases. The imputer fills in missing values with draws from predictive models estimated from the observed data, resulting in multiple, completed versions of the ...
Akande, Olanrewaju, Li, Fan, Reiter, Jerome   +2 more
core   +2 more sources

Genome‐wide association study and BSR‐seq identify nitrate reductase–related genes in rice landraces (Oryza sativa L.)

The Plant Genome
Nitrogen (N) is an essential nutrient for rice (Oryza sativa L.) growth and development. However, the lower nitrogen use efficiency (NUE) results in an N fertilizer surplus, which causes many environmental problems. In this study, genome‐wide association
Shuangshuang Luo, Zuyu Liao, Shilv Huang, Xiuzhong Xia, Zongqiong Zhang, Baoxuan Nong, Tongping Luo, Chenli Zhu, Can Chen, Hui Guo, Rui Feng, Yinghua Pan, Shuhui Liang, Yongcheng Li, Jianhui Liu, Yongfu Qiu, Danting Li, Xinghai Yang   +17 more
doaj   +1 more source

Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data

Machine Learning and Knowledge Extraction
Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in the analysis. Recent work combined shallow neural networks (SNNs)
José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos   +2 more
doaj   +1 more source