Results 121 to 130 of about 224,004 (328)

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐modifying Antirheumatic Drug

Arthritis Care &Research, Accepted Article.
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD) Methods PrismRA incorporated 19 gene expression features and 4 clinical features to assess a patient's likelihood of ...
Fenglong Xie, Timothy Beukelman, Nicholas P McCormick, Jeffrey R Curtis   +3 more
wiley   +1 more source

BUILDING CLASSIFICATION MODELS FROM IMBALANCED FRAUD DETECTION DATA

Malaysian Journal of Computing, 2014
Many real-world data sets exhibit imbalanced class distributions in which almost all instances are assigned to one class and far fewer instances to a smaller, yet usually interesting class. Building classification models from such imbalanced data sets is
Terence Yong Koon Beh, Swee Chuan Tan, Hwee Theng Yeo   +2 more
doaj   +1 more source

β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations

Advanced Biology, Volume 9, Issue 3, March 2025.
Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio, B. Spedicato, G. Corallo, A. Inguscio, M. Greco, D. Musarò, D. Vergara, A. F. Muro, G. De Sabbata, L. R. Soria, N. Brunetti Pierri, M. Maffia   +11 more
wiley   +1 more source

Ed-Tgan: A Methodology on Temporal Generative Gan for Imbalanced Data for Predicting Academic Performance of Students

, 2022
Hajra Waheed, Jia Qing Zhou, Naif Aljohani, Suppawong Tuarob, Raheel Nawaz, Francisco Herrera, Saeed‐Ul Hassan   +6 more
openalex   +1 more source

Learning from class-imbalanced data: overlap-driven resampling for imbalanced data classification.

, 2020
Classification of imbalanced datasets has attracted substantial research interest over the past years. This is because imbalanced datasets are common in several domains such as health, finance and security, but learning algorithms are generally not designed to handle them. Many existing solutions focus mainly on the class distribution problem. However,
openaire   +1 more source

Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study

Advanced Engineering Materials, EarlyView.
Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji, Monnamme Tlotleng, Samuel Skhosane, Lehlogonolo R. Kanyane, Abimbola P. I. Popoola, Sisa L. Pityana   +5 more
wiley   +1 more source

Composite Electrospun Fibers Containing Optimized B‐ and Cu‐Doped Bioactive Glass Sol‐Gel Particles for Potential Soft Tissue Engineering Applications

Advanced Engineering Materials, EarlyView.
This article describes the preparation and characterization of poly(ε‐caprolactone) electrospun composite fibers incorporating sol‐gel‐derived bioactive glass particles doped with B and Cu. Scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, Fourier‐transform infrared spectroscopy, contact angle, acellular bioactivity, mechanical and ...
Elisa Piatti, Marta Miola, Liliana Liverani, Paolo Sartori, Enrica Verné, Aldo R. Boccaccini   +5 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Interactions between Molten High‐Silicon Electrical Steels and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert, Matheus Roberto Bellé, Anton Yehorov, Anhelina Mospan, Till M. J. Stadtmüller, Seetharaman Sridhar, Christos G. Aneziris, Olena Volkova   +7 more
wiley   +1 more source

Enhanced Oxidation and Thermal Shock Resistance of N‐type Mg2Si0.89(Sn0.1,Sb0.01) Thermoelectric Material via Cr0.9Si0.1 Coating

Advanced Engineering Materials, EarlyView.
Cr0.9Si0.1 protective coatings are developed to enhance the thermal‐shock and oxidation resistance of Mg2Si0.89(Sn0.1,Sb0.01) thermoelectric (TE) materials. The coating forms a dense and adherent barrier that suppresses oxygen diffusion and mitigates mechanical degradation during cyclic oxidation, demonstrating its potential to improve the long‐term ...
Mikdat Gurtaran, Zhenxue Zhang, Xiaoying Li, Hanshan Dong   +3 more
wiley   +1 more source