Results 41 to 50 of about 616 (125)
Barriers and Bridges: The Trade, Productivity, and Welfare Effects of the Belt and Road Initiative
ABSTRACT This paper evaluates the impact of the Belt and Road Initiative (BRI) on trade, productivity, and welfare using a multi‐country, multi‐sector Ricardian model with input–output linkages. Gravity estimates reveal asymmetric trade effects: BRI participation increases imports from China in textiles, wood and paper, and electrical machinery, while ...
Shuangcen Li
wiley +1 more source
A two‐scale framework bridges process‐level physics and system‐level decision‐making for electrified green methanol production. Replacing computationally demanding reactor simulations with an interpretable symbolic‐regression surrogate enables rapid techno‐economic and life‐cycle assessment. The framework reveals how process performance propagates into
Yuanjing Zhao +5 more
wiley +1 more source
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
Local Asymmetric Least Squares (LAsLS) for Noisy and Complex Baseline Correction
ABSTRACT The asymmetric least squares (AsLS) method is commonly used and works well when baseline characteristics are relatively uniform, but can be less accurate for non‐uniform, complex, or noisy baselines. Here, we present local AsLS (LAsLS), a local extension of AsLS that preserves the original penalized least‐squares framework while allowing ...
Adrián Gómez‐Sánchez +2 more
wiley +1 more source
A‐optimal model‐based design of experiments for processes with uncertain inputs
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori +3 more
wiley +1 more source
Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley +1 more source
ABSTRACT Photonic matrix processors are attracting attention in applications such as AI inference due to their low‐power and low‐latency properties. However, their applicability has been largely limited to low‐precision computation due to inherent stochastic analog noise and device non‐idealities.
Shoichi Hirasawa, Michihiro Koibuchi
wiley +1 more source
Multi‐endpoint clinical trials face long‐standing statistical challenges. Vector‐based comparison (VBC) decomposes endpoints into orthogonal components. Applied to five clinical trials, it reduced confidence‐interval widths by about 50%, indicating higher statistical power, without altering the clinical meaning of endpoints.
Maria Kokkali, Vangelis D. Karalis
wiley +1 more source
Renewable‐Based Electric Vehicle Charging and Grid Support Through Bi‐Level Optimization
ABSTRACT This study proposes a bi‐level optimization framework for coordinated electric vehicle charging and discharging in renewable‐based distribution networks. The upper‐level problem minimizes feeder losses from the Distribution Grid Operator perspective, while the lower‐level problem minimizes charging costs for electric vehicle owners under time ...
Wei Peng +4 more
wiley +1 more source
Behavioral responses of black bears to human presence and infrastructure in Yosemite National Park
Using GPS collar data from black bears in Yosemite National Park, we examined how bear spatiotemporal activity in relation to human development shifted during the COVID‐19 park closure in 2020. In the absence of visitors, bears maintained consistent landscape‐scale space use but altered fine‐scale spatial and temporal behaviors.
Jennifer R. Green +9 more
wiley +1 more source

