Results 81 to 90 of about 10,401 (258)
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
A parallel power system linear model reduction method based on extended Krylov subspace
With the ever-increasing scale of power systems, stability analysis and control usually bear heavy storage and massive calculation burdens. In view of this, the model order reduction technique proves valuable by constructing a low-dimensional approximate
Zhaobin Du +4 more
doaj +1 more source
RBM10 deficiency promotes anti‐PD‐1 resistance in lung adenocarcinoma by altering STING alternative splicing, which enhances CCL7 secretion and CCR2‐dependent M2 macrophage polarization. A positive feedback loop via mitochondrial transfer sustains this immunosuppression.
Weitong Gao +14 more
wiley +1 more source
This paper presents a comparative analysis of two model reduction techniques: balanced truncation and projection onto the dominant eigenspace of the Gramian.
Shafiqul Islam +3 more
doaj +1 more source
Our research unveiled a regulatory paradigm wherein TRIM25 orchestrates the ubiquitin‐mediated degradation of UGDH. UGDH modulates the protein stability of TJP1 by regulating O‐GlcNAcylation levels, effectively impeding the metastasis of ccRCC. Our insights elevate UGDH to a pivotal biomarker and tumor suppressor, marking the first demonstration that ...
Xiaolin Chen +13 more
wiley +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
In this work, we propose extended Balanced Truncation (BT) techniques to competently approximate second-order index-1 descriptor systems without altering their fundamental structure, thereby improving approximation accuracy and minimizing computation ...
Mahtab Uddin +2 more
doaj +1 more source
REDUCED ORDER MODEL OF U-TUBE STEAM GENERATOR AND APPLICATION OF FUZZY AND LQR IN ITS LEVEL CONTROL [PDF]
The water level of the U-tube steam generator (UTSG) in a nuclear power unit, which is an important process parameter, must be maintained in a safe range whether the unit is working under fixed or variable conditions.
Jeetendra Agarwal +2 more
doaj
Model Reduction for Nonlinear Systems by Incremental Balanced Truncation
In this paper, the method of incremental balanced truncation is introduced as a tool for model reduction of nonlinear systems. Incremental balanced truncation provides an extension of balanced truncation for linear systems towards the nonlinear case and differs from existing nonlinear balancing techniques in the definition of two novel energy functions.
Bart Besselink +3 more
openaire +2 more sources
Synergy of Pd Clusters and TiO2 {101} for Photocatalytic Nonoxidative Coupling of Methane
This study presents photocatalytic nonoxidative coupling of methane over cal‐Pd0.05/TiO2{101}, achieving near 100% selectivity and long‐term stability under mild flow conditions through synergistic single atoms and clusters catalysis. ABSTRACT Photocatalytic nonoxidative coupling of methane (NOCM) offers a sustainable route to valorize CH4 into C2 ...
Jianlong Yang +2 more
wiley +1 more source

