Results 151 to 160 of about 1,794,390 (295)
Correction: Zero valent iron/poly(amidoxime) adsorbent for the separation and reduction of U(vi). [PDF]
Shao D +9 more
europepmc +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among rheumatology patients, and their associations with patient factors, patient reported perceived side effects and positive impacts. Methods An online survey (delivered from March to November 2022) was distributed by Alberta Health Services to ...
Susan Zhang +10 more
wiley +1 more source
PhysEmbedFormer: a physics-guided interpretable architecture for days-ahead forecasting of PV power. [PDF]
Yu Y, Loskot P, Gao Y.
europepmc +1 more source
Simple Power Spectra from Complex Inflationary Physics
Kosmologietag 2016, Bielefeld, Germany, 28 Apr 2016 - 29 Apr 2016 ; (2016).
openaire +3 more sources
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1‐8) assigned to each domain.
Kevin Zhang +8 more
wiley +1 more source
Improving the Precision of First-Principles Calculation of Parton Physics from Lattice Quantum Chromodynamics. [PDF]
Zhao Y.
europepmc +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Hypergraph-based decay analysis for predicting and classifying states beyond regge trajectories. [PDF]
Gao J.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

