Results 181 to 190 of about 1,097,810 (322)

Development of a p38 Kinase Binding Assay for High Throughput Screening [PDF]

, 1999
Usha Warrior, X. Grace Chiou, Michael P. Sheets, Richard J. Sciotti, Janet M. Parry, Robert L. Simmer, Bruce W. Surber, David J. Burns, Bruce A. Beutel, Karl W. Mollison, Stevan W. Djurić, James M. Trevillyan   +11 more
openalex   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Silibinin ameliorates hepatic lipid accumulation and oxidative stress in mice with non-alcoholic steatohepatitis by regulating CFLAR-JNK pathway

Acta Pharmaceutica Sinica B, 2019
Non-alcoholic steatohepatitis (NASH) is a chronic metabolic syndrome and the CFLAR-JNK pathway can reverse the process of NASH. Although silibinin is used for the treatment of NASH in clinical, its effect on CFLAR-JNK pathway in NASH remains unclear ...
Yayun Liu, Wei Xu, Ting Zhai, Jiaojiao You, Yong Chen   +4 more
doaj  

Single Pair of Weyl Points Evolve From Spin Group‐Protected Nodal Line in Half‐Metallic Ferromagnet V3S4

Advanced Functional Materials, EarlyView.
A spin group (SG)‐based mechanism is proposed to realize a single pair of Weyl points. PT‐symmetric nodal lines (NLs) persist under T‐breaking, protected by the combination of SG and P symmetry. When considering spin‐orbit coupling, the SG‐protected NL will split into Weyl points, which will also induce anomalous transport phenomena arising from ...
Shifeng Qian, Yao Zhang, Xiaowei Sheng, Xiuxian Yang, Gang Zhang, Junfeng Gao, Xiaotian Wang   +6 more
wiley   +1 more source

Multi-User Opportunistic Spectrum Access for Cognitive Radio Networks Based on Multi-Head Self-Attention and Multi-Agent Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Bai W, Zheng G, Xia W, Mu Y, Xue Y.
europepmc   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

Corrigendum to "Utilization of convolutional neural networks to analyze microscopic images for high-throughput screening of mesenchymal stem cells". [PDF]

Open Life Sci
Liu M, Du X, Hu J, Liang X, Wang H.
europepmc   +1 more source

Approximating the throughput of multiple machines under real-time scheduling [PDF]

, 1999
Amotz Bar-Noy, Sudipto Guha, Joseph Naor, Baruch Schieber   +3 more
openalex   +1 more source

High‐Throughput Microfluidic‐Mediated Assembly of Layer‐By‐Layer Nanoparticles

Advanced Functional Materials, EarlyView.
The layer‐by‐layer (LbL) assembly of polymer films on nanoparticle (NP) surfaces is a promising technique for targeted drug delivery. Despite its success in preclinical mouse models, a current good manufacturing practices (cGMP) compliant, clinical‐scale production method has been lacking.
Ivan S. Pires, Ezra Gordon, Heikyung Suh, Darrell J. Irvine, Paula T. Hammond   +4 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

Advanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi, Munevver Akdeniz, Awel Olsido Ahmed, Mine Altunbek, Omer Aydin   +4 more
wiley   +1 more source