56,748 Result(s)
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Yu** Hao
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Article
A New Method for Evaluating the Recoverability of Geothermal Fluid Under In Situ Conditions Based on Nuclear Magnetic Resonance
Aiming to solve the problems of unclear pore structure, unknown fluid storage and seepage pattern, and inaccurate fluid recoverability evaluation under in situ high pressure of thermal storage, a new method ba...
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Recent progress of two-dimensional metal-base catalysts in urea oxidation reaction
Urea oxidation reaction (UOR) is an auxiliary water electrolysis hydrogen production technology developed in recent years to replace oxygen evolution reaction and reduce energy consumption, which can produce h...
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Efficient variable selection for high-dimensional multiplicative models: a novel LPRE-based approach
This paper explores a novel high-dimensional sparse multiplicative model, which deal with data with positive responses, particularly in economical and biomedical researches. The proposed regularized method is ...
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Finite-temperature ductility-brittleness and electronic structures of AlnSc (n = 1, 2 and 3)
Finite-temperature ductility-brittleness and electronic structures of Al3Sc, Al2Sc and AlSc are studied comparatively by first-principles calculations and ab initio molecular dynamics. Results show that Al3Sc and...
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Article
Deep Learning Methods for Vibration-Based Structural Health Monitoring: A Review
The vibration signal is an effective diagnostic tool in structural health monitoring (SHM) fields that is closely related to abnormal states. Deep learning methods have got remarkable success in utilizing vibr...
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Resonance study of fractional-order strongly nonlinear duffing systems
This article takes a class of strongly nonlinear Duffing systems with fractional-order terms as the research object, studying their main resonance and conditions for chaos under single-frequency excitation. Th...
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Article
The resampling method via representative points
The bootstrap method relies on resampling from the empirical distribution to provide inferences about the population with a distribution F. The empirical distribution serves as an approximation to the population....
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Open AccessResveratrol activates autophagy and protects from UVA-induced photoaging in human skin fibroblasts and the skin of male mice by regulating the AMPK pathway
Skin photoaging is mostly caused by ultraviolet A (UVA), although active medications to effectively counteract UVA-induced photoaging have not yet been created. Resveratrol, a naturally occurring polyphenol fo...
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Open AccessAre children with IgA nephropathy different from adult patients?
Previously, several studies have indicated that pediatric IgA nephropathy (IgAN) might be different from adult IgAN, and treatment strategies might be also different between pediatric IgAN and adult IgAN.
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Article
Online control for pressure regulation of oxygen mask based on neural network
The aviation oxygen mask, which has a small volume of less than 1 L and strong air tightness, imposes extremely high requirements on control performance of the oxygen regulator. Based on analyses of the operat...
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Article
The Investigation of Preload Relaxation Behavior of CFRP Bolted Joints Under Thermal-Oxygen Environment: Modeling and Experiments
In this paper, the effects of interference-fit sizes and service environment temperature on the preload and relaxation of CFRP bolted joints are investigated based on an ultrasonic monitoring method. Specimens...
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Article
Open AccessStochastic quantisation of Yang–Mills–Higgs in 3D
We define a state space and a Markov process associated to the stochastic quantisation equation of Yang–Mills–Higgs (YMH) theories. The state space ...
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Article
Cleaner fish optimization algorithm: a new bio-inspired meta-heuristic optimization algorithm
This paper proposes a new meta-heuristic optimization algorithm called Cleaner Fish Optimization algorithm (CFO) inspired by cleaner fish. The CFO simulates the movement behavior of cleaner fish when performin...
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Article
Evolution of Elastic–Plastic Characteristics of Rocks Within Middle-Deep Geothermal Reservoirs Under High Temperature
Middle-deep geothermal reservoirs, rich in energy, experience deep burial, high temperature, and intense three-dimensional stresses, causing noticeable elastic–plastic rock deformation under high confining pre...
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ZnO/ZnS heterostructure in N-doped porous carbon for anchoring–diffusion–conversion of polysulfides for high-performance lithium–sulfur batteries
The shuttle effect of polysulfides is one of the key factors hindering the commercialization of lithium–sulfur batteries (LSBs). Owing to their high conductivity and advantageous structure, heterostructures ca...
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Investigating the brain functional abnormalities underlying pain hypervigilance in chronic neck and shoulder pain: a resting-state fMRI study
To investigate pain hypervigilance in individuals suffering from chronic neck and shoulder pain (CNSP) and its underlying brain mechanism.
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Article
Conception Design of a Novel Vibration Dam** Mechanism for Vibration Reduction of a High-Rise Wind Tower
A dynamic model of a high-rise wind tower is built based on the assuming modes method to investigate its along-wind dynamic responses. Unlike the traditional dynamic model, the tower body is regarded a continu...
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Research on Energy Transport Characteristics of an Axial Flow Circulating Pump under Unpowered Driven and Pump Operating Conditions
An axial flow circulating pump (AFCP), as a key facility of the large vessel power system, is designed for conveying cooling water of the power system. The pump will be rotated actively under the drive of moto...
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Positive association between increased homocysteine and deficit syndrome in Chinese patients with chronic schizophrenia: a large-scale cross-sectional study
Emerging studies indicate that oxidative stress may contribute to deficit syndrome (DS) in patients with schizophrenia. Homocysteine (Hcy) is a well-known marker and mediator of oxidative stress that exhibits ...
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An evolutionary feature selection method based on probability-based initialized particle swarm optimization
Feature selection is a common data preprocessing technique that aims to construct better models by selecting the most predictive features. Existing particle swarm optimization-based feature selection algorithm...
