Results 151 to 160 of about 691,952 (302)
Local Eviction Moratoria and the Spread of COVID‐19
ABSTRACT At different stages during the initial onset of the COVID‐19 pandemic, various US states and local municipalities enacted eviction moratoria. One of the main aims of these moratoria was to slow the spread of COVID‐19 infections. We deploy a semiparametric difference‐in‐differences approach with an event study specification to examine whether ...
Julia Hatamyar, Christopher F. Parmeter
wiley +1 more source
A new smooth failure criterion for concrete inspired by Lubliner's condition
Abstract A new failure criterion with 10 parameters is proposed, based on Lubliner's idea of joining two Drucker–Prager cones. The novelty lies in the way of introducing deviatoric shape variation: through two Podgórski's functions. This feature allows for improving plane stress cross‐section's compatibility with experimental data.
Inez Kamińska, Aleksander Szwed
wiley +1 more source
Convex Imprecise Previsions for Risk Measurement [PDF]
In this paper we introduce convex imprecise previsions as a special class of imprecise previsions, showing that they retain or generalise most of the relevant properties of coherent imprecise previsions but are not necessarily positively homogeneous. The
Renato Pelessoni, Paolo Vicig
core
Abstract The presence of adhered mortar (AM) in recycled aggregates (RAs) significantly affects the mechanical performance of recycled aggregate concrete (RAC). Meso‐scale modeling provides valuable insights into complex phase interactions, enabling a better understanding of RAC behavior.
Atabak Pourdadash Fardnam +2 more
wiley +1 more source
Estimating prey species densities is critical for implementing effective tiger Panthera tigris recovery strategies. Several statistical models exist for density estimation of unmarked species from camera trap data, all of which rely on the random placement of cameras.
Beno Fariza Syahri +10 more
wiley +1 more source
Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley +1 more source
Improved Adaptive Sliding Mode Control Using Quasi-Convex Functions and Neural Network-Assisted Time-Delay Estimation for Robotic Manipulators. [PDF]
Lee JW +5 more
europepmc +1 more source
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li +5 more
wiley +1 more source
碩士本研究的主要目的為建立有關導數為有界且為準凸函數(quasi-convex function)的 Hermite-Hadamard 不等式之推廣,以及估計一般化的中點公式誤差的界限。所得到的研究結果可應用於藉由中點公式去估計積分之近似誤差。The main purpose of this paper is to establish some inequalities of Hermite-Hadamard type for functions whose derivatives in ...
謝瑾瑜; Hsieh, Chin-Yu
core
A unified analytical framework for Mössbauer synchrotron sources
We present a unified analytical framework for Mössbauer synchrotron and X‐ray free‐electron laser sources that provides exact, rotationally invariant expressions for resonance energies and transition probabilities in mixed magnetic dipole–electric quadrupole interactions without Hamiltonian diagonalization.
Krzysztof R. Szymański
wiley +1 more source

