A fast-linear mixed model for genome-wide haplotype association analysis: application to agronomic traits in maize by Heli Chen, Zhiyu Hao, Yunfeng Zhao, Runqing Yang

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Predicting of Trend of Hemoglobin A1c in Type 2 Diabetes: A Longitudinal Linear Mixed Model by Elahe Kazemi, Seyed Mohsen Hosseini, Abbass Bahrampour, Elham Faghihimani, Masood Amini

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Spectral measures and mixed models as valuable tools for investigating controls on land surface phenology in high arctic Greenland by Wisz Mary, Hansen Birger U, Illeris Lotte, Tamstorf Mikkel P

“…We investigate the growth dynamics for dry, mesic and wet types using hand held measurements of far red normalised difference vegetation index (NDVI-FR) and generalized additive mixed models (GAMM).</p> <p>Results</p> <p>Snow melt and temperature are of major importance for the timing of the maximum growth as well as for the seasonal growth. …”
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Genome-Wide Association Studies for Growth Curves in Meat Rabbits Through the Single-Step Nonlinear Mixed Model by Yonglan Liao, Zhicheng Wang, Leonardo S. Glória, Kai Zhang, Cuixia Zhang, Rui Yang, Xinmao Luo, Xianbo Jia, Song-Jia Lai, Shi-Yi Chen

“…A promising alternative approach was recently proposed that combined the fitting of growth curves and estimation of single-nucleotide polymorphism (SNP) effects into single-step nonlinear mixed model (NMM). In this study, we collected the body weights at 35, 42, 49, 56, 63, 70, and 84 days of age for 401 animals in a crossbred population of meat rabbits and compared five fitting models of growth curves (Logistic, Gompertz, Brody, Von Bertalanffy, and Richards). …”
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Modeling heart rate of individual and team manual handling with one hand using generalized additive mixed models by Mohammad Hamed Hosseini, Rashid Heidarimoghaddam, Mehrdad Anbarian, Saeed Ilbeigi, Leili Tapak

Subjects: “…Generalized Additive Mixed Model…”
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Using a Mixed Model to Explore Evaluation Criteria for Bank Supervision: A Banking Supervision Law Perspective. by Sang-Bing Tsai, Kuan-Yu Chen, Hongrui Zhao, Yu-Min Wei, Cheng-Kuang Wang, Yuxiang Zheng, Li-Chung Chang, Jiangtao Wang

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Multilevel linear mixed model for tree diameter increment in stone pine (Pinus pinea): a calibrating approach by Calama, Rafael, Montero, Gregorio

“…Diameter increment for stone pine (Pinus pinea L.) is described using a multilevel linear mixed model, where stochastic variability is broken down among period, plot, tree and within-tree components. …”
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Negative binomial mixed model neural network for modeling of pulmonary tuberculosis risk factors in West Java provinces by Restu Arisanti, Resa Septiani Pontoh, Sri Winarni, Yahma Nurhasanah, Silvani Dewi Nura Aini, Aissa Putri, Nabila Dhia Alifa Rahma

“…The resulting Negative Binomial Mixed Model Neural Network (NBMMNN) model has a high accuracy value of up to 0.944. …”
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Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach by Shruti Mallya, Beate Sander, Marie-Hélène Roy-Gagnon, Monica Taljaard, Ann Jolly, Manisha A. Kulkarni

“…We then developed a generalized linear mixed model with a Poisson distribution adjusting for spatial autocorrelation and repeat measures. …”
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Mixed model methods for genomic prediction and variance component estimation of additive and dominance effects using SNP markers. by Yang Da, Chunkao Wang, Shengwen Wang, Guo Hu

“…Based on this genomic model, two sets of computationally complementary but mathematically identical mixed model methods were developed for genomic best linear unbiased prediction (GBLUP) and genomic restricted maximum likelihood estimation (GREML) of additive and dominance effects using SNP markers. …”
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A simulation-based reinforcement learning solution for a dynamic mixed-model assembly line sequencing problem by Yu, Dongsheng

“…Moreover, the simulation based on actual Mixed-Model Assembly Line layouts provides an interactive environment for an intelligent agent in reinforcement learning, enabling it to learn near-optimal policies without affecting actual production. …”
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MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line by Mohd. Azmi, Nur Intan Liyana, Zainuddin, Zaitul Marlizawati, Ahmad, Rashidah

“…This research explores two interrelated problems in Mixed-Model Two-Sided Assembly Line (MMTSAL), which are line balancing and model sequencing. …”
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Effect of climate factors on the incidence of hand, foot, and mouth disease in Malaysia: a generalized additive mixed model by Abdul Wahid, N. A., Suhaila, J., Haliza, A. R.

“…Thus, a Generalized Additive Mixed Model (GAMM) is used to investigate the relationship between HFMD and climate factors in Malaysia. …”
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Toona ciliata genotype selection with the use of individual BLUP with repeated measures by Rulfe Tavares Ferreira, Alexandre Pio Viana, Déborah Guerra Barroso, Marcos Deon Vilela de Resende, Antônio Teixeira do Amaral Júnior

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BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data by Shuangshuang Xu, Jacob Williams, Marco A. R. Ferreira

“…To that end, we use generalized linear mixed models (GLMMs) and, thus, call our method Bayesian GLMMs for GWAS (BG2). …”
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Estimate Proportional Contributions of Multiple Nitrate Sources in Groundwater of Varamin Plain Using a Bayesian Isotope Mixing Model by Zohre Nejatijahromi, Hamid Reza Nassery, Mohammad Nakhaei, Farshad Alijani

“…To identify different nitrate sources and to estimate their proportional contribution in the groundwater of the Varamin aquifer, a dual isotope (δ15N-NO3− and δ18O-NO3−) method and a Bayesian isotope mixing model for 38 samples in November 2016 have been applied. …”
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Nitrate source identification in the Baltic Sea using its isotopic ratios in combination with a Bayesian isotope mixing model by F. Korth, B. Deutsch, C. Frey, C. Moros, M. Voss

“…Our approach combines data on the dual isotopes of NO₃^&minus; (δ¹⁵N-NO₃^&minus; and δ¹⁸O-NO₃^&minus;) in winter surface waters with a Bayesian isotope mixing model (Stable Isotope Analysis in R, SIAR). Based on data gathered from 47 sampling locations over the entire Baltic Sea, the majority of the NO₃^&minus; in the southern Baltic was shown to derive from runoff from agricultural land (33–100%), whereas in the northern Baltic, i.e. the Gulf of Bothnia, NO₃^&minus; originates from nitrification in pristine soils (34–100%). …”
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Differential gene expression analysis based on linear mixed model corrects false positive inflation for studying quantitative traits by Shizhen Tang, Aron S. Buchman, Yanling Wang, Denis Avey, Jishu Xu, Shinya Tasaki, David A. Bennett, Qi Zheng, Jingjing Yang

“…To address this gap, we employed a linear mixed model (LMM) that has been widely used in genetic association studies for DGE analysis of quantitative traits. …”
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Regularized multi-trait multi-locus linear mixed models for genome-wide association studies and genomic selection in crops by Aurélie C. Lozano, Hantian Ding, Naoki Abe, Alexander E. Lipka

Subjects: “…Multi-trait multi-locus linear mixed model…”
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Multi-Objective Optimization for Mixed-Model Two-Sided Disassembly Line Balancing Problem Considering Partial Destructive Mode by Bao Chao, Peng Liang, Chaoyong Zhang, Hongfei Guo

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