-
661
A review of the experimental and numerical studies on the compression behavior of the additively produced metallic lattice structures at high and low strain rates
Published 2025-07-01“…One potential application of metallic lattice structures is in the impact load mitigation where an external kinetic energy is absorbed by the deformation/crushing of lattice cells. …”
Get full text
Article -
662
Overcoming the resistance of hepatocellular carcinoma to PD-1/PD-L1 inhibitor and the resultant immunosuppression by CD38 siRNA-loaded extracellular vesicles
Published 2023-12-01“…Our results provide functional evidence for the use of EV-mediated delivery of CD38 siRNA to prevent immunosuppression feature of HCC.…”
Get full text
Article -
663
-
664
Compressive behavior of elliptical concrete-filled steel tubular short columns using numerical investigation and machine learning techniques
Published 2024-11-01“…The results from SHAP indicate that the eccentric loading ratio (e/2a) has the most significant effect on the load-carrying capacity of elliptical CFST short columns, followed by the yield strength of the outer steel tube ( $$\:{f}_{yo}$$ ) and the inner width of the inner steel tube ( $$\:2{a}_{ii}$$ ). …”
Get full text
Article -
665
-
666
A Mechanical Fault Identification Method for On-Load Tap Changers Based on Hybrid Time—Frequency Graphs of Vibration Signals and DSCNN-SVM with Small Sample Sizes
Published 2024-10-01“…Secondly, these time–frequency graphs are input into the CNN to extract key features. In the fusion layer, the feature vectors from the STFT and SWT graphs are combined to form a fusion vector that encompasses both global and local time–frequency features. …”
Get full text
Article -
667
A Novel Approach of Wind Turbine Blade Root Load Monitoring Based on Bearings Vibrational Data and a New AE‐LSTM‐Attention Neural Network
Published 2025-05-01“…ABSTRACT The monitoring of wind turbine blade root load (BRL) has always been a valuable yet highly challenging problem. …”
Get full text
Article -
668
ADS-YOLO: A Multi-Scale Feature Extraction Remote Sensing Image Object Detection Algorithm Based on Dilated Residuals
Published 2025-01-01“…To address these issues, we propose an algorithm for multi-scale feature extraction in remote sensing image detection using dilated residuals (ADS-YOLO). …”
Get full text
Article -
669
-
670
The effect of an additional pre-extubational loading dose of caffeine citrate on mechanically ventilated preterm infants (NEOKOFF trial): Study protocol for a multicenter randomize...
Published 2025-01-01“…<h4>Discussion</h4>A pre-extubational loading dose of caffeine citrate can reduce extubation failure. …”
Get full text
Article -
671
-
672
Les automatismes dans l’activité : pour une réhabilitation et un bon usage
Published 2005-10-01Get full text
Article -
673
M-RSF: a multilevel feedback queue task scheduling mechanism for Unikernel
Published 2024-05-01“…Meanwhile, a new load model was put forward based on an in-depth analysis of task characteristics. …”
Get full text
Article -
674
Beyond realism: Rethinking VR design for optimal learning in technical and vocational secondary education
Published 2025-06-01“…Contrary to expectations, the results showed no significant differences in cognitive load between conditions, challenging the assumptions of Cognitive Load Theory (CLT). …”
Get full text
Article -
675
A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism
Published 2025-01-01“…Moreover, adding FECAM to extract features from the data fully reveals the relationship between influencing factors and the load series, which improves the quality of data features and the forecasting accuracy of the FAGSNP model. …”
Get full text
Article -
676
-
677
Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Appro...
Published 2025-01-01“…Under the condition of lacking meteorological forecast data, this paper proposes to utilize a temporal convolutional network (TCN) to extract the coupled spatial features among multivariate loads. The reconstructed features are then input into the long short-term memory (LSTM) neural network to achieve the extraction of load time features. …”
Get full text
Article -
678
-
679
-
680
Primary Fixation Feature Design Does Not Influence Total Ankle Tibial Component Stability When Implanted with Press-Fit in High Density Bone
Published 2024-12-01“…Commercial TAR tibial components are available in a wide range of fixation feature shape and size designs to aid primary fixation stability. …”
Get full text
Article