Shichao Zhu

ORCID: 0000-0003-3154-8901
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Electrochemical sensors and biosensors
  • Electrochemical Analysis and Applications
  • Intensive Care Unit Cognitive Disorders
  • Intermetallics and Advanced Alloy Properties
  • Supercapacitor Materials and Fabrication
  • Energetic Materials and Combustion
  • Advanced Graph Neural Networks
  • Family and Patient Care in Intensive Care Units
  • Conducting polymers and applications
  • Blockchain Technology Applications and Security
  • Supply Chain and Inventory Management
  • Glaucoma and retinal disorders
  • Infectious Aortic and Vascular Conditions
  • Analytical Chemistry and Sensors
  • Analytical Chemistry and Chromatography
  • Advanced Chemical Sensor Technologies
  • Retinal Diseases and Treatments
  • Evaluation and Optimization Models
  • FinTech, Crowdfunding, Digital Finance
  • Health, psychology, and well-being
  • Photonic and Optical Devices
  • Retinal Imaging and Analysis
  • Traffic Prediction and Management Techniques
  • Aortic Disease and Treatment Approaches
  • Combustion and Detonation Processes

State Key Laboratory of Coal Combustion
2025

Huazhong University of Science and Technology
2025

Army Medical University
2023-2024

Beijing University of Technology
2020-2024

Henan Provincial People's Hospital
2022-2024

Zhengzhou University
2022-2024

University of Science and Technology Beijing
2024

Henan University
2022-2024

Sichuan University
2020-2023

West China Hospital of Sichuan University
2020-2023

Recent knowledge graph (KG) embeddings have been advanced by hyperbolic geometry due to its superior capability for representing hierarchies. The topological structures of real-world KGs, however, are rather heterogeneous, i.e., a KG is composed multiple distinct hierarchies and non-hierarchical structures. Therefore, homogeneous (either Euclidean or hyperbolic) not sufficient fairly such heterogeneous To capture the heterogeneity we present an ultrahyperbolic embedding (UltraE) in (or...

10.1145/3534678.3539333 article EN Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022-08-12

TiAl is used as the preferred material for aero-engine low-pressure turbine blades, which also faced with similar problems of "Titanium fire" under long-term high temperature service conditions. In this paper, micro-combustion behavior discussed. It found that flame-retardant alloy has better performance compared to TC11, TA11. regard, higher content Al and Nb identified primary reason superior alloy. Moreover, segregation serves a transport channel atoms entraps oxygen during process...

10.1016/j.matdes.2024.112878 article EN cc-by Materials & Design 2024-03-26

This study sought to investigate nurses' knowledge, attitudes and practices, analyse the influencing factors for subsyndromal delirium (SSD).A descriptive cross-sectional survey.E-questionnaires were distributed intensive care unit (ICU) nurses from 20 tertiary-grade, A-class hospitals in Henan Province, China.A total of 740 ICU participated questionnaire survey.Each dimension score is converted a percentage scale. A ≤60% on each was considered negative score, <80% intermediate ≥80% an...

10.1136/bmjopen-2022-063821 article EN cc-by-nc BMJ Open 2022-09-01

Glaucoma including primary open-angle glaucoma (POAG) results from elevations in intraocular pressure (IOP). An eye-localized renin-angiotensin system (RAS) has been implicated IOP regulation, although its mechanism of action and contribution to is poorly understood. Here, we detected significant increases the levels angiotensin II (ANGII) aqueous humor samples POAG patients. Moreover, determined that concentrations ANGII were positively correlated with IOP, suggesting a role for elevated...

10.1177/09636897231162526 article EN cc-by-nc Cell Transplantation 2023-01-01

Objective To explore the relationship between professional quality of life and work environment among intensive care unit nurses, identify influencing factors nurses' life. Methods This study design is cross-sectional correlational descriptive. Four hundred fourteen nurses from Central China were recruited. Data collected three questionnaires self-designed demographic questions, scale nursing scale. Descriptive statistics, Pearson's correlation, bivariate analysis multiple linear regression...

10.3389/fpubh.2023.1104853 article EN cc-by Frontiers in Public Health 2023-05-04

LaFeO3 was synthesized by sol-gel method, and corresponding LaFeO3/graphene composite materials were prepared under the condition of ultrasonic dispersion. The as-prepared modified electrode used as electrochemical sensor to detect sulfite content. morphology, structure elemental composition characterized means scanning electron microscopy (SEM), X-ray diffraction (XRD) spectroscopy (XPS). A group properties optimal investigated differential pulse voltammetry (DPV), cyclic (CV) impedance...

10.1149/1945-7111/ab732d article EN Journal of The Electrochemical Society 2020-02-20

Pavement will inevitably be damaged in the process of use; pavement damage detection and assessment are an important part maintenance management. In order to prevent road diseases, it is necessary fix cracks implement automatic crack inspection monitoring. this paper, identification realized by constructing Mask R-CNN model. The labeled area can segmented pixels positioned at original data integrating image used for training into a network effect model improved increasing number sets, pixel...

10.3390/coatings13020430 article EN Coatings 2023-02-14

Amaranth is widely used in food industry, its daily intake 0–1.5 mg kg −1 . Excessive consumption of amaranth may have many adverse effects to health. So it very important accurately determine the content food. Graphene (Gr) and Co 3 O 4 -CeO 2 were prepared by electrolysis hydrothermal method, respectively. /Gr nanocomposite was physically grinded above two materials for detection. The structure, morphology valence state as-prepared composite characterized X-ray diffraction (XRD), scanning...

10.1149/1945-7111/abe3a3 article EN Journal of The Electrochemical Society 2021-02-01

The return cost burdens both consumers and merchants, leading merchants to emphasize information disclosure during pre-sales of new products. This study analyzes the effects methods on consumer valuation merchants’ pre-sale strategies across four scenarios: no advance selling, disclosure, traditional blockchain-enabled disclosure. We examine optimal pricing inventory under each scenario, assessing value merchant’s selling strategy. find that could lead various outcomes based distribution...

10.1142/s0217595924400098 article EN Asia Pacific Journal of Operational Research 2024-04-26

A novel Pt-cerium oxide/porous polyaniline (Pt-CeO2/porous PANI) electrode material as advanced electrocatalysts for glycerol catalytic oxidation was developed by combining the merits of Pt, CeO2, and porous PANI. The as-prepared nanomaterials were characterized BET, XRD, SEM, FTIR well electrochemical test. characterization results indicated that as-fabricated Pt-CeO2/porous PANI nanocomposite had obvious pore structure larger surface area relative to corresponding materials. cyclic...

10.1149/2.0821811jes article EN Journal of The Electrochemical Society 2018-01-01

Graph convolutional networks (GCNs) are powerful frameworks for learning embeddings of graph-structured data. GCNs traditionally studied through the lens Euclidean geometry. Recent works find that non-Euclidean Riemannian manifolds provide specific inductive biases embedding hierarchical or spherical However, they cannot align well with data mixed graph topologies. We consider a larger class pseudo-Riemannian generalize hyperboloid and sphere. develop new geodesic tools allow extending...

10.48550/arxiv.2106.03134 preprint EN cc-by arXiv (Cornell University) 2021-01-01

Learning the embeddings for urban regions from human mobility data can reveal functionality of regions, and then enables correlated but distinct tasks such as crime prediction. Human contains rich abundant information, which yields to comprehensive region cross domain tasks. In this paper, we propose multi-graph fusion networks (MGFN) enable prediction First, integrate graphs with spatio-temporal similarity patterns through a graph module. Then, in pattern joint learning module, design...

10.48550/arxiv.2201.09760 preprint EN other-oa arXiv (Cornell University) 2022-01-01
Coming Soon ...