China University of Petroleum, East China

Explosion Response and Multiobjective Optimization of Butterfly-Shaped Circular Auxetic Cored Sandwich Panel Based on Machine Learning

Abstract In response to the urgent demand for blast-resistant protective structures, this study addresses two major limitations in existing research: the insufficient stiffness of conventional re-entrant auxetic honeycombs due to high porosity, and the lack of systematic multiobj...

Thermo-mechanical coupled simulation of temperature distribution and material removal mechanisms in UD-CFRP orthogonal cutting

Carbon fibre reinforced plastics (CFRPs) tend to generate high cutting temperatures during machining, which can exacerbate machining-induced damage. Although previous studies have examined CFRP cutting behaviour under thermo-mechanical coupling, the influence of cutting temperatu...

Occlusion-Robust Cattle Pose Estimation for Precision Livestock Monitoring Using Hierarchical Locality Refinement

Accurate cattle pose estimation is important for precision livestock farming because body landmarks can provide quantitative visual inputs for potential health monitoring, behavior analysis, lameness assessment, and welfare evaluation. This study focuses on keypoint-localization...

Mechanistic insights into the co-pyrolysis of lignin and spent bleaching clay over a Mo-modified carbon catalyst

Lignin pyrolysis is a sustainable pathway for synthesizing high-value alkylphenol chemicals and fuels. In this study, the co-pyrolysis process of lignin and spent bleaching clay was investigated for producing alkylphenols. The effects of different metal-loaded biochars, pyrolysis...

Organic–Inorganic Hybrid Gel Microspheres as a Plugging Agent for Ultra-High Temperature and High-Salinity Water-Based Drilling Fluids

With the continuous expansion of ultra-deep and deep well drilling toward complex geological formations, the performance stability of water-based drilling fluids and wellbore stability under ultra-high temperature and high-salinity conditions have become critical challenges. High...

An impaired excitatory-inhibitory balance in the right inferior temporal gyrus of patients with Alzheimer's disease correlated with executive function

Preliminary research indicates that an imbalance between excitation and inhibition may be an early pathological feature of Alzheimer's disease. However, the relevant brain networks, neurotransmitters and genetic mechanisms are still unclear. This study enrolled 27 patients with A...

Traversing Type-II singularities by leveraging PM’s inherent dynamic characteristics

This paper presents a precise path-tracking method for a parallel manipulator (PM) to navigate Type-II singularities by leveraging its dynamic characteristics, thereby eliminating the need for offline recalibration, redundancy, or added mass. The approach is based on new insights...

Covalent organic frameworks for oxygen reduction: Coupling electron, proton, and molecular transport with kinetics

Abstract The oxygen reduction reaction (ORR) remains a central kinetic bottleneck in fuel cells. Its performance depends not only on catalyst activity, but also on electron/proton transfer, oxygen transport, and surface reaction kinetics. Because catalytic reactions and mass tran...

Spatiotemporal Variability of Near-Surface Temperature Inversion over Ulaanbaatar City, Mongolia

Near-surface temperature inversions are prevalent during the cold months in Ulaanbaatar city, Mongolia, and significantly degrade urban air quality by trapping hazardous pollutants within a shallow atmospheric boundary layer. This study investigates spatiotemporal variability, ph...

Analysis of the application of computerized optokinetic nystagmus analyzer in vision examination

To investigate the practicability, accuracy, and consistency of the computerized optokinetic nystagmus (OKN) analyzer for visual acuity (VA) measurement. Cross-sectional consistency evaluation study. A total of 219 subjects (13.48 ± 12.89 years, 115 males, 104 females) underwent...

Precision Greenhouse Rose Phenotyping from UAV Imagery Using a Multi-Source Dataset and Lightweight BloomRoseNet

Accurate detection of blooming roses and flower buds is essential for greenhouse phenotyping, cultivation scheduling, harvest planning, and yield management. However, UAV-derived greenhouse imagery presents major challenges because rose targets are often small, densely distribute...

Internal ElectricField-Induced “Proton Bridge”Mechanism in Photo-Self-Fenton Coupled PMS Systems: A TheoreticalStudy Based on Nonmetal Surface-Engineered Carbon Nitride

Abstract Constructing a photoself-Fenton (PSF) coupled peroxymonosulfate (PSF–PMS) system, which exploits the cross-activation between PMS and in situ generated H2O2 to boost reactive oxygen species flux, can overcome the kinetic bottlenecks of single advanced oxidation processes...

Dual-Ligand Synergistic Construction of Double-Walled Cage Zn-MOFs: Methyl Modification Regulates Pore Size and Selective C2H2/CO2 Separation Performance

Due to the extremely similar molecular sizes and melting and boiling points of acetylene (C2H2) and carbon dioxide (CO2), their efficient separation and purification have long been significant challenges in the field of industrial purification. Based on the ligand construction st...

Local microenvironment modulation in Cu(I)‐carbon covalent metal–organic frameworks for highly efficient CO 2 conversion

Abstract Introducing defects into metal–organic frameworks (MOFs) offers a powerful strategy to tune their local microenvironments and boost catalytic performance. Herein, we report a “truncated linker” approach to construct defect‐engineered Cu(I)‐carbon covalent bonded framewor...

Synergistic Impact of Integrated Water Control and Screen Pipe Technologies on Oil and Gas Production in Advanced Well Completions

The global expansion of oil and gas exploration into increasingly deep and geologically complex reservoirs has intensified technical challenges, particularly the detrimental effects of water intrusion and sand production. These issues severely curtail well longevity and recovery...

FNO-Speed: Accelerate Fourier Neural Operators Training for Solving PDEs

Deep learning for solving partial differential equations (PDEs) has become increasingly prominent. The Fourier Neural Operator (FNO) architecture has been proven to be an efficient and high-precision method that is widely used in scientific research. However, FNO incurs significa...

Sequential SolventExtraction Reveals Lithofacies-DependentPore Accessibility, Wettability, and Hydrocarbon Partitioning in Organic-RichLacustrine Shales

Abstract Understanding the reservoir characteristics of shale oil formations is an essential workflow in petroleum exploration and development because it supports petroleum-reserve evaluation and guides production activities. Few studies have examined the coupled effects of pore...

Temperature-DrivenInterconversion of Shale Oil

Abstract Understanding the occurrence state and thermal mobilization mechanism of shale oil is essential for improving recovery efficiency from nanoporous shale reservoirs. In this study, a series of thermal volatilization experiments (40–80 °C) combined with NMR (T2 and T1-T2) w...

A novel metamaterial for tunable load-bearing and broadband vibration isolation based on combined double-helix and chiral unit cell

In the advanced high-performance mechanical systems, such as those in aerospace, automotive powertrains, and precision instrumentation, demand components that can simultaneously provide structural support and mitigate harmful vibrations. However, achieving an optimal balance betw...

Artificial Intelligence for Hydraulic-Fracturing Decision Support: A Workflow-Oriented Critical Review

Hydraulic fracturing is a critical technology for unconventional oil and gas development, but its performance is strongly affected by geological heterogeneity, complex fracture propagation, operational uncertainty, and nonlinear interactions among engineering parameters. Artifici...