Results 171 to 180 of about 113,679 (360)
ABSTRACT Northwest Europe experienced high‐amplitude climate change at the onset and end of the Younger Dryas (YD; ca 12 800–11 600 cal a BP), a crucial period to develop our understanding of natural climate dynamics. European palaeoclimatological records generally suggest a bipartite structure of the YD, potentially due to a northward retreat of the ...
Christopher P. Francis+5 more
wiley +1 more source
Abstract Robust and economic inverting devices are needed with the increasing practice of direct current (DC) sources. This paper proposes a compact multi‐level inverter topology for Vehicle to Home (V2H) application under different load conditions. A reduced number of switches with a single DC source (EV battery) is used to generate the 11‐level of ...
Mohd Khalid+2 more
wiley +1 more source
XVII. Observations on the polishing of glass, and on the amalgam used for silvering mirrors [PDF]
B.G. Sage
openalex +1 more source
Reducing ACL injury risk: A meta‐analysis of prevention programme effectiveness
Abstract Purpose The aim of this study was to conduct a meta‐analysis of the literature regarding anterior cruciate ligament (ACL) injury prevention programmes (IPPs) in order to assess the effectiveness of ACL prevention programmes based on current high‐quality studies.
Clemens Clar+5 more
wiley +1 more source
The nature of measurement across the hybridised social sector: A systematic review of reviews
Abstract Performance measurement and management serve as the key elements for demonstrating accountability to funders and stakeholders for many social entities. Although substantial study has been completed to understand the measurement practices employed by specific models of social entities, there is an absence of studies taking a broader perspective
Elizabeth‐Rose Ahearn, Catherine Mai
wiley +1 more source
Predicting VCSEL Emission Properties using Transformer Neural Networks
This study presents an innovative approach to predicting VCSEL emission characteristics using transformer neural networks. It is demonstrated how to modify the transformer neural network for applications in physics. This model trains faster and predicts more accurately compared to conventional neural networks. The transformer architecture also suitable
Aleksei Belonovskii+3 more
wiley +1 more source
ON A PHENOMENON OBSERVED IN THE ACTION OF HYDROCHLORIC ACID ON VERY DILUTE ALKALI AMALGAMS. [PDF]
George McPhail Smith
openalex +1 more source
Predicting corrosion for life estimation of ocean and coastal steel infrastructure
A schematic bi‐modal model for long‐term marine corrosion of steel exposed to marine immersion, tidal, splash and atmospheric zones and other nonmarine zones such as in contact with sands and soils. Also applicable to alloys such as copper‐nickels and aluminium.
Rob E. Melchers+3 more
wiley +1 more source
This study compares Convolutional Neural Networks (CNNs) and Transfer Learning (TL) for predicting key mechanical properties (volume fraction, Poisson's ratio, and elastic modulus) of 3D‐printed bone scaffolds. Using image‐based inputs derived from Body Centred Cubic lattice structures, CNNs outperformed ResNet‐based TL models in accuracy. The proposed
S. Mohsen Zahedi+5 more
wiley +1 more source