Results 231 to 240 of about 166,468,241 (292)

Quantifying the embodied‐carbon premium of RC transfer beams via automated design

open access: yesStructural Concrete, EarlyView.
Abstract Transfer structures in reinforced concrete (RC) buildings enable architectural flexibility but often increase material use and embodied carbon. This study introduces an automated framework to quantify the embodied‐carbon premium associated with such systems. For each parametric configuration, two equivalent RC frames—one regular and one with a
Enrico Pinelli, David M. Ruggiero
wiley   +1 more source

Teaching Thoughtful Statistical Inference: Stories for the World Beyond p < 0.05

open access: yesTeaching Statistics, EarlyView.
ABSTRACT Statistical hypothesis tests and p values are poorly understood by many students of statistics. Poor application and misinterpretation of statistical inference procedures are common in published research. Over‐reliance on the “p < 0.05” threshold to claim “statistical significance” often masks weaknesses in the evaluation of statistical ...
Peter Martin
wiley   +1 more source

‘Using anuran community diversity and Pseudacris crucifer to predict landscape quality across a land use gradient'

open access: yesWildlife Biology, EarlyView.
As human‐modified landscape and climate changes proliferate, maintaining biodiversity and understanding the function and quality of available habitat is imperative. As anurans (frogs/toads) such as Pseudacris crucifer, can be an indicator species of habitat quality and ecosystem productivity, studying the anuran community in a mixed‐land use region ...
Brian C. Kron, Karen V. Root
wiley   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang   +5 more
wiley   +1 more source

Signal Extraction and Clustering of Partial Discharge in Motor Insulation Using Temporal Correlation‐Based Clustering

open access: yesHigh Voltage, EarlyView.
ABSTRACT As one of the important links in energy transition and global energy interconnection, electric vehicles (EVs) are becoming increasingly major research topics in the field of energy. Partial discharge (PD) identification under repetitive impulsive voltages plays a pivotal role in evaluating the health of electric vehicle (EV) motor insulation ...
Li Wang   +7 more
wiley   +1 more source

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