Results 81 to 90 of about 472,445 (299)

Spurious regression under broken trend stationarity [PDF]

open access: yes
We study the phenomenon of spurious regression between two random variables when the generating mechanism for individual series follows a stationary process around a trend with (possibly) multiple breaks in its level and slope.
Daniel Ventosa-Santaularia   +1 more
core  

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

Spurious Regression and Econometric Trends [PDF]

open access: yes
This paper analyses the asymptotic and finite sample implications of different types of nonstationary behavior among the dependent and explanatory variables in a linear spurious regression model.
Daniel Ventosa-Santaulària   +1 more
core  

Phase‐Resolved Dual Control of Phenol Photodissociation at the Air–Water Interface From Structure‐Resolved Statistics

open access: yesAdvanced Science, EarlyView.
Faster phenol photolysis at the air–water interface arises from two cooperative factors: a more favorable initial microenvironment for solvent‐side electron stabilization, which lowers CI access, and a more labile hydrogen‐bond network, which more readily reorganizes to stabilize the dark‐state intermediate.
Qiang Yin   +8 more
wiley   +1 more source

LiTaO3‐ on‐YAG surface acoustic wave resonator with low TCF and spurious modes mitigation

open access: yesElectronics Letters
Surface acoustic wave (SAW) resonators employing LiTaO3 piezoelectric platelet on yttrium aluminium garnet (YAG) substrate are designed with a low temperature coefficient of frequency (TCF) and spurious modes suppression.
Ventsislav Yantchev   +3 more
doaj   +1 more source

Spurious Regressions in Financial Economics? [PDF]

open access: yes
Even though stock returns are not highly autocorrelated, there is a spurious regression bias in predictive regressions for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974).
Wayne E. Ferson   +2 more
core  

Development of a compact excavator mounted dust suppression system [PDF]

open access: yes, 2013
This paper reports on the investigation of an excavator mounted dust suppression system for demolition and construction activities. Ever increasing pressure is placed on contractors to improve their environmental performance, especially dust emissions ...
Cheung, Wai Ming, Wallace, Kieran
core   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

Wide Stopband Bandpass Filter Implemented by Stepped Impedance Resonator and Multiple In-Resonator Open Stubs

open access: yesIEEE Access, 2019
Stepped impedance resonator (SIR) has been widely used for applications in wide stopband bandpass filters. However, the reported SIR wide stopband bandpass filters are limited in either stopband performance or design complexity.
Peng Chu, Lei Guo, Long Zhang, Ke Wu
doaj   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford   +3 more
wiley   +1 more source

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