Results 81 to 90 of about 425,331 (287)
Long‐Term Elevated CO2 Improves Soil Health and Rice Yields in Paddy Fields
Advanced Science, EarlyView.Combining the two longest‐running rice free‐air CO2 enrichment experiments with a global data synthesis, this study demonstrates that long‐term elevated CO2 consistently enhances soil health. In rice paddies, this improvement sustains the CO2 fertilization effect over decades.
Fan Jiang +22 more
wiley +1 more source
Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension [PDF]
, 2018 We construct an efficient classical analogue of the quantum matrix inversion algorithm (HHL) for low-rank matrices. Inspired by recent work of Tang, assuming length-square sampling access to input data, we implement the pseudoinverse of a low-rank matrix
Gilyén, András +2 more
core +2 more sources
Strong consistency in nonlinear stochastic regression models
The Annals of Statistics, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Stochastic EM for Shuffled Linear Regression
, 2018 We consider the problem of inference in a linear regression model in which the relative ordering of the input features and output labels is not known. Such datasets naturally arise from experiments in which the samples are shuffled or permuted during the protocol.
Abid, Abubakar, Zou, James
openaire +2 more sources
Nanoscale Mapping of the Subcellular Glycosylation Landscape
Advanced Science, EarlyView.Using multiplexed super‐resolution imaging with fluorophore‐labeled lectins, this study reports intracellular glycosylation at the nanoscale across organelles and synaptic specializations. Extending glycan analysis beyond the cell surface, Glyco‐STORM reveals distinct glycosylation nanodomains in the ER, Golgi, lysosomes, and synaptic sites.
Helene Gregoria Schroeter +4 more
wiley +1 more source
Convergence of stochastic process with Markov switching [PDF]
Математичні Студії, 2012 It has been established sufficient conditions for the convergence of a multi-dimensional stochastic process in the case of dependence of the regression function on the environment, which is described by Markov switchings.
O. I. Kiykovska, Ya. M. Chabanyuk
doaj
Application of Stochastic Flood Forecasting Model Using Regression Method for Kelantan Catchment
MATEC Web of Conferences, 2018 Flood is without doubt the most devastating natural disasters, striking numerous regions in Malaysia each year. During the last decades, the trend in flood damages has been growing exponentially. This is a consequence of the increasing frequency of heavy
Osman Sazali +6 more
doaj +1 more source
The Distribution of Stochastic Shrinkage Parameters in Ridge Regression [PDF]
In this article we derive the density and distribution functions of the stochastic shrinkage parameters of three well-known operational Ridge Regression estimators by assuming normality. The stochastic behavior of these parameters is likely to affect the
Hernán Rubio, Luis Firinguetti
core
Bufalin Inhibits the PI3K/AKT Pathway by Targeting GTF3C4 to Impede Breast Cancer Progression
Advanced Science, EarlyView.Mechanisms of Bufalin‐Mediated Intervention in Breast Cancer. ABSTRACT Breast cancer incidence is rising globally, presenting challenges such as treatment side effects and drug resistance. Bufalin is a bufadienolides compound with potential anti‐cancer effects. This study shows that bufalin inhibits malignant proliferation of MDA‐MB‐231 and MCF‐7 cells
Siyu Guo +15 more
wiley +1 more source
Austrian Journal of Statistics, 2016 N. BALAKRISHNAN, V.B. MELAS, S. ERMAKOV (Editors) Advances in Stochastic Simulation Methods. Statistics for Industry and Technology. Boston: Birkhäuser 2000, XXVI+ 386 S., ISBN 0-8176-4107-6. Yadolah DODGE, Jana JURE?KOVA: Adaptive Regression.
E. Stadlober +2 more
doaj +1 more source