Results 121 to 130 of about 21,242 (297)
Discussion of “Elastic-Plastic Analysis by Quadratic Programming” [PDF]
Oscar G. De Pineres
openalex +1 more source
A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming. [PDF]
Kim Y +3 more
europepmc +1 more source
PARPi Combining Nanoparticle LIN28B siRNA for the Management of Malignant Ascites
This study demonstrates that co‐inhibition of LIN28B and PARP using siLin28b/DSSP@lip‐PEG‐FA nanoparticles in combination with the PARP inhibitor BMN673 effectively suppresses the accumulation of malignant ascites associated with advanced cancers.
Yan Fang +13 more
wiley +1 more source
Dual‐Laser Optical Tweezers for Photothermal Analysis of Hybrid Microgels
Dual‐laser optical tweezers unlock real‐time, single‐particle resolution of light‐driven actuation. Direct visualization and precise quantification of size changes under varying laser intensity provide new insights, overcoming limitations of conventional microscale actuator analysis.
Se‐Hyeong Jung +4 more
wiley +1 more source
Solving the unit commitment problem of hydropower plants via Lagrangian Relaxation and Sequential Quadratic Programming [PDF]
Erlon Cristian Finardi +2 more
openalex +1 more source
Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets
A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai +18 more
wiley +1 more source
Exploration of the sputum methylome and omics deconvolution by quadratic programming in molecular profiling of asthma and COPD: the road to sputum omics 2.0. [PDF]
Groth EE +9 more
europepmc +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source

