Results 161 to 170 of about 155,699 (303)

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring [PDF]

arXiv
In recent years, large language models (LLMs) achieve remarkable success across a variety of tasks. However, their potential in the domain of Automated Essay Scoring (AES) remains largely underexplored. Moreover, compared to English data, the methods for Chinese AES is not well developed.
arxiv  

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

Advanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco, Kehang Yu, Xin Wang, Crystal Murillo, Carlos Melchor, Calvin H. Belcher, Julie M. Schoenung, Enrique J. Lavernia, Stacy M. Copp   +8 more
wiley   +1 more source

Automated CT Scan Scores of Bronchiectasis and Air Trapping in Cystic Fibrosis [PDF]

, 2013
Emily M. DeBoer, Waldemar Swiercz, Sonya L. Heltshe, Margaret M. Anthony, Paul Szefler, Rebecca Klein, John D. Strain, Alan S. Brody, Scott D. Sagel   +8 more
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs [PDF]

arXiv
Existing automated essay scoring (AES) has solely relied on essay text without using explanatory rationales for the scores, thereby forgoing an opportunity to capture the specific aspects evaluated by rubric indicators in a fine-grained manner. This paper introduces Rationale-based Multiple Trait Scoring (RMTS), a novel approach for multi-trait essay ...
arxiv  

3D In Vitro Glioma‐Neuron‐Astrocyte Biomimetic Composites Recapitulate Key Molecular Mechanisms Linked to Glioblastoma Multiforme Pathophysiology

Advanced Functional Materials, EarlyView.
Glioblastoma multiforme is the most devastating and incurable brain tumor. To better study this disease, a 3D model is developed using a hyaluronic acid‐based hydrogel combined with a multicellular approach. This model recapitulates in vivo brain stiffness, cell‐extracellular matrix and cell‐cell interactions and the tumor's hijacking function with the
Mateo S. Andrade Mier, Esra Türker, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Panthipa Suwannakot, Benedikt Gantert, Abhinav Singh, Vanessa Moessler, Annemarie Sodmann, Nicoletta Murenu, Joachim Schenk, Natascha Schaefer, Torsten Blunk, Aldo R. Boccaccini, Tessa C. Lühmann, Jörg Tessmar, Jeremy M. Crook, Eva Tomaskovic‐Crook, Paul D. Dalton, Gregor Lang, Robert Blum, Reiner Strick, Silvia Budday, Katrin G. Heinze, Carmen Villmann   +26 more
wiley   +1 more source

A Proof‐of‐Principle Demonstration: Exploring the Effect of Anode Layer Microstructure on the Alkaline Oxygen Evolution Reaction

Advanced Functional Materials, EarlyView.
Highlighting the importance of anode microstructure for alkaline OER, ultrasonic spray coating is applied at two different temperatures. This proof‐of‐concept approach yielded varied morphologies, structures, wettability and mechanical strength. These variations led to noticeable performance changes in activity after 8 h of measurements, comparing the ...
Adarsh Jain, Christian Marcks, Lars Grebener, Jacob Johny, Ahammed Suhail Odungat, Mohit Chatwani, Mena‐Alexander Kräenbring, Abhishek Shaji, Marc Frederic Tesch, Anna K. Mechler, Vineetha Vinayakumar, Doris Segets   +11 more
wiley   +1 more source

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

Advanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly, Vasileios Sergis, Laura Ventura i Blanco, Karl Mason, Andrew C. Daly   +4 more
wiley   +1 more source

Using convolutional neural networks to automatically score eight TIMSS 2019 graphical response items

Computers and Education: Artificial Intelligence
International large-scale assessments (ILSAs) have used graphical response-based items to measure student ability for decades, but they have yet to implement automated scoring of these responses and instead rely on human scoring alone. To investigate how
Lillian Tyack, Lale Khorramdel, Matthias von Davier   +2 more
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