Results 11 to 20 of about 245,585 (258)
Microbiological and Nutritional Analysis of Lettuce Crops Grown on the International Space Station
Frontiers in Plant Science, 2020 The ability to grow safe, fresh food to supplement packaged foods of astronauts in space has been an important goal for NASA. Food crops grown in space experience different environmental conditions than plants grown on Earth (e.g., reduced gravity ...
Christina L. M. Khodadad +8 more
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npj Microgravity, 2021 Healthy plants are vital for successful, long-duration missions in space, as they provide the crew with life support, food production, and psychological benefits.
Natasha J. Haveman +6 more
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Frontiers in Human Neuroscience, 2021 Multimodal neuroimaging provides a rich source of data for identifying brain regions associated with disease progression and aging. However, present studies still typically analyze modalities separately or aggregate voxel-wise measurements and analyses ...
Matthew Pietrosanu +7 more
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Frontiers in Oncology, 2021 Background and PurposeLower grade glioma (LGG) is one of the leading causes of death world worldwide. We attempted to develop and validate a radiosensitivity model for predicting the survival of lower grade glioma by using spike-and-slab lasso Cox model ...
Zixuan Du +12 more
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Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China
Remote Sensing, 2021 Changes in climate extremes have a profound impact on vegetation growth. In this study, we employed the Moderate Resolution Imaging Spectroradiometer (MODIS) and a recently published climate extremes dataset (HadEX3) to study the temporal and spatial ...
Simeng Wang, Qihang Liu, Chang Huang
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La Técnica: Revista de las Agrociencias, 2020 Exploitative technological evaluation of the Dongfeng DF 151L motor cultivator in soil preparation for sowing maize Resumen La presente investigación se realizó en la “Finca Juanito”, coordenadas 1o19’46’’ LS y 80o35’3’’ LO, cantón Jipijapa ...
Byron Leonardo Quimís Guerrido +4 more
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Omitted variable bias of Lasso-based inference methods: A finite sample analysis
, 2021 We study the finite sample behavior of Lasso-based inference methods such as post double Lasso and debiased Lasso. We show that these methods can exhibit substantial omitted variable biases (OVBs) due to Lasso not selecting relevant controls.
Wuthrich, Kaspar, Zhu, Ying
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Frontiers in Genetics, 2020 Some candidate genes have been robustly reported to be associated with complex traits, such as the fat mass and obesity-associated (FTO) gene on body mass index (BMI), and the fibroblast growth factor 5 (FGF5) gene on blood pressure levels.
Wan-Yu Lin +10 more
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Algorithms, 2021 Probabilistic solar power forecasting has been critical in Southern Africa because of major shortages of power due to climatic changes and other factors over the past decade. This paper discusses Gaussian process regression (GPR) coupled with core vector
Edina Chandiwana +2 more
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Least squares after model selection in high-dimensional sparse models [PDF]
, 2013 In this article we study post-model selection estimators that apply ordinary least squares (OLS) to the model selected by first-step penalized estimators, typically Lasso.
Belloni, Alexandre, Chernozhukov, Victor
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