Results 21 to 30 of about 396 (141)

SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range

Advanced Electronic Materials, EarlyView.
A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel, Aleix Barrera, Lluís Balcells, Narcís Mestres, Enrique Miranda, Anna Palau, Jordi Suñé   +6 more
wiley   +1 more source

DNAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing

Proceedings of the International Florida Artificial Intelligence Research Society Conference
High-throughput sequencing (HTS) is a modern DNA sequencing technology used to rapidly read thousands of genomic fragments from microorganisms given a sample. The large amount of data produced by this process makes deep learning, whose performance often
David W. Ludwig II, Joshua L. Phillips
doaj   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Insulation characteristics of polyimide film used in liquid nitrogen of compact HTS transformers

IET Generation, Transmission & Distribution
Since compact high temperature superconducting (HTS) transformer has a small size and high efficiency, it can meet the requirements of high‐voltage transformers for vehicle‐mounted mobile substation.
Qibin Zhou, Yijie Xiao, Xiaoyan Bian, Feipeng Tang, Xi Wang   +4 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Coupled Electromagnetic–Thermal Modeling of HTS Transformer Inrush Current: Experimental Validation and Thermal Analysis

Energies
The article presents a numerical model of a high-temperature superconducting (HTS) transformer rated at 13.8 kVA, equipped with windings made of 2G ReBCO tapes.
Grzegorz Komarzyniec, Łukasz Stępień, Zbigniew Łagodowski   +2 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Current deep-learning techniques for processing sets are limited to a fixed cardinality, causing a steep increase in computational complexity when the set is large.
Kendra Givens, David Ludwig, Joshua Phillips   +2 more
doaj   +1 more source

Post CAR‐T Measurable Residual Disease Monitoring in Mantle Cell Lymphoma Enables Early Detection of Disease Relapse

American Journal of Hematology, EarlyView.
ABSTRACT CD19‐directed chimeric antigen receptor (CAR) T‐cell therapy has transformed outcomes for patients with relapsed or refractory (r/r) mantle cell lymphoma (MCL), yet more than 40% relapse within one year. Early identification of patients at risk for progression could inform post CAR‐T surveillance and consolidation strategies.
Snegha Ananth, Neha Agarwal, Bita Sahaf, Allison Jacob, Lik Wee Lee, Heidi Simmons, Ilan Kirsch, Sushma Bharadwaj, Wen‐kai Weng, Melody Smith, Saurabh Dahiya, David Miklos, Matthew J. Frank   +12 more
wiley   +1 more source

Selenium Nanomaterials for Wound Healing: Synergistic Strategies from Anti‐Infection to Tissue Regeneration

Advanced NanoBiomed Research, EarlyView.
Selenium nanoparticles (SeNPs) are emerging as multifunctional platforms for wound healing, integrating antimicrobial, anti‐inflammatory, and proregenerative activities. This review summarises key mechanisms and recent advances in SeNP‐enabled composite dressings, immunomodulatory nanocomposites, microenvironment‐responsive hydrogels, photothermal and ...
Yangxia Chen, Xiaoshuang Liang, Sirui Li, Shuoshan Li, Wei Liu, Yingping Lin, Siqi Li, Zehang Zhang, Judun Zheng, Tianfeng Chen, Rongyi Chen   +10 more
wiley   +1 more source