Results 41 to 50 of about 549 (197)
The double‐bond phenomenon enables dual energy band mechanisms that enhance the efficiency of seawater splitting. Atomic interactions at the GO/GaN interface encompass various configurations, such as van der Waals interactions, covalent interactions, type‐II and Z‐scheme alignments, and chloride‐ion repulsion.
Bagavath Chandran +7 more
wiley +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Trade Measures—Relationships and Implications
ABSTRACT Various value‐added trade measures have been developed to address the concern in the growing volume of trade in intermediates that are double counted when crossing international borders more than once. This paper raises a query and makes an inquiry into the query.
Peijie Wang, Zhiyuan Liu
wiley +1 more source
ABSTRACT A Cu(II) complex derived from a pyrimidine with the isatin group was synthesized and tested for its cytotoxic effects on A549 lung cancer and MCF‐7 breast cancer cell lines, as well as its effects on apoptosis‐associated cell death and cell cycle regulation in A549 cells. To evaluate cytotoxicity, MTT assays were performed at 24, 48, and 72 h,
Müjgan Kesik Oktay +4 more
wiley +1 more source
Learning and Predicting the Nonlinear Variability of X-Ray Binaries with the Koopman Operator
X-ray variability in compact-object binaries encodes the nonlinear dynamics of corona–jet interactions and accretion disk instabilities. Standard timing techniques characterize periodic and quasiperiodic variability well, but do not model underlying ...
Eric Miao +3 more
doaj +1 more source
Data-Driven Dynamic State Estimation Framework Using a Koopman Operator-Based Linear Predictor
Dynamic state estimation (DSE) is a fundamental task in many fields, including control systems, robotics, and signal processing. Traditional DSE methods, which rely on mathematical models to describe system dynamics, are often limited in their ...
Deyou Yang +4 more
doaj +1 more source
Cooperative braking of urban rail vehicles with Koopman model predictive control
Braking control of urban rail vehicles with multiple carriages is critical to ensure the safe operation of urban rails. However, existing decentralized braking control methods lead to the inconsistent speed and excessive coupler force among carriages ...
Dianzhu Gao +4 more
doaj +1 more source
ABSTRACT There is increasing interest in understanding and recognition of the importance of empathy effects at work. However, despite the two‐party nature of empathy, little research has distinguished between empathy‐giving versus empathy‐receiving, or between empathy‐giver versus receiver.
Xiaoxiao Jiang +3 more
wiley +1 more source
Representing Neural Network Layers as Linear Operations via Koopman Operator Theory
The strong performance of simple neural networks is often attributed to their nonlinear activations. However, a linear view of neural networks makes understanding and controlling networks much more approachable. We draw from a dynamical systems view of neural networks, offering a fresh perspective by using Koopman operator theory and its connections ...
Nishant Suresh Aswani +2 more
openaire +3 more sources
ABSTRACT Research has increasingly highlighted the prevalence of emotionally ambivalent experiences for employees at work, with several self‐regulatory benefits emerging. Yet we do not have a full understanding of which work‐related contexts yield generative or maladaptive consequences of emotional ambivalence.
David F. Arena Jr. +4 more
wiley +1 more source

