Results 211 to 220 of about 85,833 (253)
A multimodal intravital imaging platform enables longitudinal tracking of human cortical organoids transplanted into chronic stroke lesions. By combining surgical microscopy, MRI, bioluminescence imaging, and two‐photon fluorescence microscopy, the platform captures graft placement, viability dynamics, and cellular‐scale morphology in vivo, offering a ...
Jinghui Wang +12 more
wiley +1 more source
A Rare Allele of ST5 From Wild Rice Enhances Salt Tolerance in Rice
A novel salt‐tolerance gene ST5W, characterized by a unique 36‐bp promoter insertion, is found exclusively in a small subset of Oryza rufipogon and is absent in cultivated rice. Field trials confirm ST5W significantly enhances rice yield across diverse genetic backgrounds under saline conditions.
Meng Xing +26 more
wiley +1 more source
Heart girth-based bodyweight prediction for Sub-Saharan African ruminants: updated equations by species, breed, and system. [PDF]
Hawkins JW +8 more
europepmc +1 more source
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Comparability of Segmented Line Regression Models
Biometrics, 2004Summary Segmented line regression models, which are composed of continuous linear phases, have been applied to describe changes in rate trend patterns. In this article, we propose a procedure to compare two segmented line regression functions, specifically to test (i) whether the two segmented line regression functions are identical or (ii) whether the
Hyune-Ju Kim +2 more
exaly +4 more sources
Classification in segmented regression problems
Computational Statistics and Data Analysis, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cathy W S Chen +2 more
exaly +3 more sources
Object segmentation with deep regression
2015 IEEE International Conference on Image Processing (ICIP), 2015Object segmentation has constantly received much attention due to its fundamental role in scene understanding. Traditional methods formulate it as a structured prediction problem, represented by graphical models (GMs). However, most GMs have difficulties in balancing the effectiveness of context modeling and efficiency of model inference. In this paper,
Jianchao Li +3 more
openaire +1 more source
Subspace Segmentation by Correlation Adaptive Regression
IEEE Transactions on Circuits and Systems for Video Technology, 2018Subspace segmentation aims to segment a given data set into clusters with each cluster corresponding to a subspace. Most recent works focus on subspace representation-based methods, which construct the affinity matrix based on the subspace representation of the data points.
Weiwei Wang 0005 +2 more
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Random changepoint segmented regression with smooth transition
Statistical Methods in Medical Research, 2020We consider random changepoint segmented regression models to analyse data from a study conducted to verify whether treatment with stem cells may delay the onset of a symptom of amyotrophic lateral sclerosis in genetically modified mice. The proposed models capture the biological aspects of the data, accommodating a smooth transition between the ...
Julio M Singer +5 more
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Segmented relationships to model erosion of regression effect in Cox regression
Statistical Methods in Medical Research, 2010In this article we propose a parsimonious parameterisation to model the so-called erosion of the covariate effect in the Cox model, namely a covariate effect approaching to zero as the follow-up time increases. The proposed parameterisation is based on the segmented relationship where proper constraints are set to accomodate for the erosion.
MUGGEO, Vito Michele Rosario +1 more
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