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Articles by Deyi Li
Cross-System Meta-Analysis of Machine Learning Predictors Identifies Value-Specific Risk Drivers and Interactions Underlying Acute Kidney Injury
JAK discloses paid consulting from BioMerieux, AstraZeneca, Bayer, Chugai Pharma, Mitsubishi Tanabe, and Novartis, and is a full-time employee of Spectral Medical, all unrelated to the present work. KMM has led and participated in research studies funded by Pfizer, Amgen, and Eli Lilly, all unrelated to the present work. AY has served as consultant or on advisory boards for Regulus, Calico, Janssen and Sarepta, none of which are related to the current work.
A Viscosity-Responsive Mitochondria-Targeting Probe for Rapid Imaging of Fatty Liver Disease
A Viscosity-Responsive Mitochondria-Targeting Probe for Rapid Imaging of Fatty Liver Disease Fatty liver disease (FLD) is a leading cause of chronic liver disease worldwide, yet current diagnostic methods remain limited by low sensitivity, poor accuracy, and prolonged detection times. Recent studies have linked liver viscosity, particularly mitochondrial viscosity variations, to the progression of FLD, highlighting the need for a rapid and noninvasive viscosity-sensitive imaging tool.
Blood Glucose Concentration Prediction Based on Double Decomposition and Deep Extreme Learning Machine Optimized by Nonlinear Marine Predator Algorithm
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Sliding mode control for finite-time projective synchronisation in distinct Caputo fractional-order delayed neural networks with inconsistent orders
Abstract This manuscript delves into the realm of projective synchronisation in delayed neural networks governed by Caputo fractional-order dynamics, addressing the intricate challenges of attaining finite-time synchronisation in networks with distinct structures, functions, and orders. To start, the integration of a compensation controller within the control architecture is examined, aiming to formulate the projection error dynamics.
Entropy | Free Full-Text | Multi-Energy Load Prediction Method for Integrated Energy System Based on Fennec Fox Optimization Algorithm and Hybrid Kernel Extreme Learning Machine
1. Introduction Energy is a key factor in promoting economic growth, providing the foundation for the development of human society, and plays an extremely important role in human society [1]. However, fossil energy sources are facing a growing shortage. At the same time, the problems of inefficiency, energy waste and environmental pollution of traditional thermal power generation are becoming more and more prominent.
Honeycomb networks of boron nitride/nanodiamond with interlocking interfaces enhance the application reliability of silicone rubber thermal conductivity composites
Supporting Information Filename Description pc28394-sup-0001-Figures.docxWord 2007 document , 1.2 MB Figure S1. The XRD patterns of the BN and kBN. Figure S2. The particle size distributions of BN. Figure S3. The XRD patterns of the kBN and ND/kBN (ND/kBN 3/100, 6/100, 10/100, Volume ratios). Figure S4. SEM images of the cross-sections of VMQ, VMQ/BN, and VMQ/kBN composites. REFERENCES 1, , , et al. Bioinspired engineering of thermal materials. Adv Mater. 2015; 27(3): 428-463. 2, , , et al.
TSE-UNet: Temporal and Spatial Feature-Enhanced Point Cloud Super-Resolution Model for Mechanical LiDAR
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Fuzzy Weighted Pareto-Nash Equilibria of Multi-Objective Bi-Matrix Games with Fuzzy Payoffs and Their Applications
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by , †, *,† and † School of Science, Wuhan University of Science and Technology, Wuhan 430065, China * Author to whom correspondence should be addressed. † These authors contributed equally to this work.
Graphene-wrapped particles kill drug-resistant bacteria in wastewater
Antibiotic-resistant bacteria are emerging as a serious public health threat, and part of the reason is that the bugs can pass resistance genes to each other. Now, researchers at Rice University have developed a system using nanoparticles wrapped in graphene oxide to kill both the superbugs and their free-floating resistance genes in wastewater.
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