Results 111 to 120 of about 108,226 (271)

Measurement of Linear Stark Interference in 199Hg

, 2011
We present measurements of Stark interference in the 6$^1S_0$ $\rightarrow$ 6$^3P_1$ transition in $^{199}$Hg, a process whereby a static electric field $E$ mixes magnetic dipole and electric quadrupole couplings into an electric dipole transition ...
Alan Corney, B. R. Heckel, E. N. Fortson, I. P. Khriplovich, M. D. Swallows, M. V. Romalis, T. H. Loftus, W. C. Griffith   +7 more
core   +1 more source

Predicting drug‐perturbed transcriptional responses using multi‐conditional diffusion transformer

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract Drug‐perturbed transcriptomes are important for personalized medicine and drug discovery. Nevertheless, the existing high‐throughput screening and sequencing techniques for drug‐perturbed transcriptomes remain expensive and time‐consuming. In this study, we propose a novel multi‐condition diffusion transformer model, designated as perturbation
Qifan Hu, Zeyu Chen, Jin Gu
wiley   +1 more source

Pea Flours Display Wide‐Ranging Intrinsic Physicochemical and Functional Traits Affecting Their Role as Food Ingredients

Sustainable Food Proteins, Volume 4, Issue 1, March 2026.
Pea flour functionality is rooted in genetic diversity. This study leverages rapid NIR spectral screening of 650 Pisum sativum accessions to uncover intrinsic variability in unrefined pea flours. Twenty spectrally distinct samples were selected for compositional and functional analysis. Wide‐ranging protein solubility and physicochemical heterogeneity,
Emma D. Matzen, Mette S. Mikkelsen, Julian D. McClements, Lutz Grossmann   +3 more
wiley   +1 more source

Counterfactual Explanations in Education: A Systematic Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Main challenges on counterfactual explanations in education. ABSTRACT Counterfactuals are a type of explanations based on hypothetical scenarios used in Explainable Artificial Intelligence (XAI), showing what changes in input variables could have led to different outcomes in predictive problems.
Pamela Buñay‐Guisñan, Juan A. Lara, Cristóbal Romero   +2 more
wiley   +1 more source

Study of the thermal erosion, ejection and solidification processes of electrode materials during EDM

Engineering Applications of Computational Fluid Mechanics, 2019
Due to the complexity of electrical discharge machining (EDM), there is no perfect theory to explain the mechanisms of material erosion, ejection and solidification during the machining process.
Shengfang Zhang, Wenchao Zhang, Hao Chang, Yu Liu, Fujian Ma, Dapeng Yang, Zhihua Sha   +6 more
doaj   +1 more source

Microstructural Evolution and Mechanical Performance of Plasma‐Assisted Hybrid Friction Stir Welded Dissimilar Aluminum–Copper Joints

Advanced Engineering Materials, Volume 28, Issue 3, 4 February 2026.
Plasma‐assisted hybrid friction stir welding of dissimilar AlCu joints employs localized plasma preheating to balance heat input and enhance plastic flow. The optimized process reduces axial force by up to 35%, refines the microstructure, and achieves ≈96% joint efficiency.
Deepak Kumar Yaduwanshi, Pankaj Shrivastava, Ganesh Chouhan, Velaphi Msomi   +3 more
wiley   +1 more source

Sieving Hydrogen Isotopes via Machine Learning Assisted Chemical Vapor Deposition (CVD) of High‐Quality Monolayer Hexagonal Boron Nitride (h‐BN) on Iron Foils

Advanced Materials, Volume 38, Issue 7, 2 February 2026.
Sub‐atomic scale separation of hydrogen isotopes (H+/D+) require near pristine h‐BN membranes, and scalable synthesis of such high‐quality h‐BN comparable to mechanically exfoliated crystals remains a significant challenge. This study reports a scalable Fe‐catalyzed Machine‐Learning Enabled Chemical vapor deposition process for bottom‐up large‐area ...
Pavan Chaturvedi, Andrew E. Naclerio, Saban M. Hus, Ivan V. Vlassiouk, Nickolay Lavrik, Marti Checa, Liam Collins, An‐Ping Li, Piran R. Kidambi   +8 more
wiley   +1 more source

Effect of process parameters on the electrical discharge machining of aluminum metal matrix composites through a response surface methodology approach

Science and Engineering of Composite Materials, 2016
This work presents the multiobjective optimization of machining parameters during the electrical discharge machining (EDM) of aluminum (Al)-silicon carbide (SiC) metal matrix composites (MMC). The process parameters considered were current, pulse on-time,
Balasubramaniam V., Baskar N., Narayanan Chinnaiyan Sathiya   +2 more
doaj   +1 more source

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

International Forum of Allergy &Rhinology, Volume 16, Issue 2, Page 152-161, February 2026.
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali, Thomas Mundy, Majid Hosseini, Morteza Bodaghi, Akio Fujiwara, Sejal Shyam Bhatia, Kayla Baker, Elena Bartolone, Dhara Patel, Henry Chu, Raju Gottumukkala, Jonathan Bidwell, Edward D. McCoul   +12 more
wiley   +1 more source

U.S. Vertical Merger Guidelines: Recommendations and Thoughts on EDM and Merger Specificity

, 2020
Koren Wong-Ervin
openalex   +1 more source