Results 141 to 150 of about 698,026 (317)
Lower bounds for higher eigenvalues by finite difference methods [PDF]
, 1958 Hans F. Weinberger
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Advanced Science, EarlyView.An unambiguous quantum state discrimination for two nonorthogonal states is demonstrated using a single ion. By implementing a non‐Hermitian Hamiltonian with parity‐time‐reversal (PT) symmetry, two candidate states evolve with different speed and become orthogonal at specific time, hence can be discriminated unambiguously. Experiments are performed for
Chenhao Zhu +5 more
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Intracellular Mechanical Stress‐Mediated Autophagy Cell Death via Nanospikes for Cancer Treatment
Advanced Science, EarlyView.Nanospikes with tunable morphology at the nanoscale induce lysosomal membrane damage by generating localized mechanical stress, activating Galectin‐3 (Gal3)‐Trim16‐mediated autophagic cell death. Finite element analysis and laser‐triggered spike ablation enable precise control of intracellular force signaling and cytotoxicity, offering a ...
Yingze Li +11 more
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Eigenvalues of the unitary part of a matrix [PDF]
, 1959 Alfred Horn, Robert Steinberg
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Superconductivity in Hourglass Dirac Chain Metals (Ti, Hf)IrGe
Advanced Science, EarlyView.We report the discovery of ternary germanide superconductors MIrGe (M = Ti, Hf) that host hourglass Dirac chains protected by nonsymmorphic symmetry. These compounds exhibit bulk type‐II superconductivity with fully gapped states and preserved time‐reversal symmetry, as confirmed by µSR measurements.
Pavan Kumar Meena +7 more
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On the Eigenvalues of a Matrix with Prescribed Singular Values [PDF]
, 1954 Alfred Horn
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Advanced Science, EarlyView.Marker metabolite‐based multi‐omics (genome, transcriptome, and metabolome) analysis is conducted firstly to unravel the genetic basis of thousand seed weight (TSW) in Brassica napus. The released metabolite‐QTL‐gene network represents a valuable genetic resource, and the newly validated BnaTGA6 is a promising target for the improvement of TSW in ...
Long Li +10 more
wiley +1 more source
Factor analysis of correlation matrices when the number of random variables exceeds the sample size
Statistical Theory and Related Fields, 2017 Factor analysis which studies correlation matrices is an effective means of data reduction whose inference on the correlation matrix typically requires the number of random variables, p, to be relatively small and the sample size, n, to be approaching ...
Miguel Marino, Yi Li
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Advanced Science, EarlyView.A cost‐effective and scalable PCNN approach is developed for NIR model construction that has compatibility with multiple instruments and multiple crops. It is time and cost saving, rapid and nondestructive, small sample set based, various quality properties and extensible for breeding application in fresh maize, forage maize, rice, wheat, and barley ...
Jiang Shi +9 more
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