Qiang He
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View article: The application of interdisciplinary integrated teaching in rheumatoid arthritis (RA) medical education
The application of interdisciplinary integrated teaching in rheumatoid arthritis (RA) medical education Open
Interdisciplinary Integrated Teaching is based on constructivist learning theory, systems theory, and collaborative learning theory, emphasising the comprehensive nature of knowledge and its contextual application. Constructivism holds tha…
View article: The Application of Interdisciplinary Integrated Teaching in Rheumatoid Arthritis (RA) Medical Education
The Application of Interdisciplinary Integrated Teaching in Rheumatoid Arthritis (RA) Medical Education Open
Interdisciplinary Integrated Teaching is based on constructivist learning theory, systems theory, and collaborative learning theory, emphasising the comprehensive nature of knowledge and its contextual application. Constructivism holds tha…
View article: An efficient smoothing algorithm for range external guidance data based on dynamic threshold and adaptive interpolation
An efficient smoothing algorithm for range external guidance data based on dynamic threshold and adaptive interpolation Open
To achieve real-time smoothing of external guidance data for photoelectric theodolites and ensure stable image acquisition, this paper proposes a field processing method based on dynamic thresholding and adaptive interpolation. First, to a…
View article: DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model
DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model Open
Generating high-quality whole-body human object interaction motion sequences is becoming increasingly important in various fields such as animation, VR/AR, and robotics. The main challenge of this task lies in determining the level of invo…
View article: An Efficient Smoothing Algorithm for Range External Guidance Data Based on Dynamic Threshold and Adaptive Interpolation
An Efficient Smoothing Algorithm for Range External Guidance Data Based on Dynamic Threshold and Adaptive Interpolation Open
To achieve real-time smoothing of external guidance data for photoelectric theodolites and ensure stable image acquisition, this paper proposes a field processing method based on dynamic thresholding and adaptive interpolation. First, to a…
View article: A Robust Orthogonal Matching Pursuit Method for Doppler Reconstruction of PRI‐Staggered Radar
A Robust Orthogonal Matching Pursuit Method for Doppler Reconstruction of PRI‐Staggered Radar Open
The utilisation of staggered pulse repetition intervals (PRIs) in pulse‐Doppler (PD) radar systems is instrumental in expanding the unambiguous Doppler interval, which is traditionally confined by the constraints of uniform PRIs, and in en…
View article: Correction: An ion-gating synaptic memristor based on tri-layer HfO<sub><i>x</i></sub> composition regulation
Correction: An ion-gating synaptic memristor based on tri-layer HfO<sub><i>x</i></sub> composition regulation Open
Correction for ‘An ion-gating synaptic memristor based on tri-layer HfO x composition regulation’ by Lanqing Zou et al. , J. Mater. Chem. C , 2025, 13 , 5326–5331, https://doi.org/10.1039/D4TC04564E.
View article: Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model
Diffgrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model Open
Generating high-quality whole-body human object interaction motion sequences is becoming increasingly important in various fields such as animation, VR/AR, and robotics. The main challenge of this task lies in determining the level of invo…
View article: Application of Digital Informatics in Precision Prevention, Epidemiology, and Clinicogenomics Research to Advance Precision Healthcare
Application of Digital Informatics in Precision Prevention, Epidemiology, and Clinicogenomics Research to Advance Precision Healthcare Open
Summary Objectives: To summarize recent public health informatics and precision epidemiology developments impacting the healthcare ecosystem. The influence of new technologies and precision approaches in surveillance and management of chro…
View article: Dissipation and Safety Analysis of Dimethomorph Application in Lychee by High-Performance Liquid Chromatography–Tandem Mass Spectrometry with QuEChERS
Dissipation and Safety Analysis of Dimethomorph Application in Lychee by High-Performance Liquid Chromatography–Tandem Mass Spectrometry with QuEChERS Open
This study presents a method for analyzing dimethomorph residues in lychee using QuEChERS extraction and HPLC-MS/MS. The validation parameters for this method, which include accuracy, precision, linearity, and recovery, indicate that it me…
View article: Graph neural network recommendation algorithm based on improved dual tower model
Graph neural network recommendation algorithm based on improved dual tower model Open
In this era of information explosion, recommendation systems play a key role in helping users to uncover content of interest among massive amounts of information. Pursuing a breadth of recall while maintaining accuracy is a core challenge …
View article: Lifetime service level agreement management for service composition
Lifetime service level agreement management for service composition Open
This thesis presents a set of technologies supporting service level agreement (SLA) management for service composition in the service-oriented computing (SOC) environment. Its purpose is to tackle some of the existing problems in the resea…
View article: EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing
EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing Open
Mobile edge computing (MEC) enables web data caching in close geographic proximity to end users. Popular data can be cached on edge servers located less than hundreds of meters away from end users. This ensures bounded latency guarantees f…
View article: Graph neural network recommendation algorithm based on improved dual tower model
Graph neural network recommendation algorithm based on improved dual tower model Open
The information explosion is strongly impacting recommendation systems. The dual tower neural network model can quickly filter and score tens of millions of items in the recall phase and assemble them into a ranking recommendation. This mo…
View article: KRP-DS: A Knowledge Graph-Based Dialogue System with Inference-Aided Prediction
KRP-DS: A Knowledge Graph-Based Dialogue System with Inference-Aided Prediction Open
With the popularity of ChatGPT, there has been increasing attention towards dialogue systems. Researchers are dedicated to designing a knowledgeable model that can engage in conversations like humans. Traditional seq2seq dialogue models of…
View article: EdgeAuth: An intelligent token‐based collaborative authentication scheme
EdgeAuth: An intelligent token‐based collaborative authentication scheme Open
Edge computing is regarded as an extension of cloud computing that brings computing and storage resources to the network edge. For some Industrial Internet of Things (IIoT) applications such as supply‐chain supervision and collaboration, I…
View article: Enabling Balanced Data Deduplication in Mobile Edge Computing
Enabling Balanced Data Deduplication in Mobile Edge Computing Open
In the mobile edge computing (MEC) environment, edge servers with storage and computing resources are deployed at base stations within users' geographic proximity to extend the capabilities of cloud computing to the network edge. Edge stor…
View article: PGPointNovo: an efficient neural network-based tool for parallel <i>de novo</i> peptide sequencing
PGPointNovo: an efficient neural network-based tool for parallel <i>de novo</i> peptide sequencing Open
Summary De novo peptide sequencing for tandem mass spectrometry data is not only a key technology for novel peptide identification, but also a precedent task for many downstream tasks, such as vaccine and antibody studies. In recent years,…
View article: Cost-effective land cover classification for remote sensing images
Cost-effective land cover classification for remote sensing images Open
Land cover maps are of vital importance to various fields such as land use policy development, ecosystem services, urban planning and agriculture monitoring, which are mainly generated from remote sensing image classification techniques. T…
View article: Simultaneous Determination of Seven Pesticides and Metabolite Residues in Litchi and Longan through High-Performance Liquid Chromatography-Tandem Mass Spectrometry with Modified QuEChERS
Simultaneous Determination of Seven Pesticides and Metabolite Residues in Litchi and Longan through High-Performance Liquid Chromatography-Tandem Mass Spectrometry with Modified QuEChERS Open
This study established a QuEChERS high-performance liquid chromatography/tandem triple-quadrupole mass spectrometry method for determining azoxystrobin, pyraclostrobin, picoxystrobin, difenoconazole, chlorantraniliprole, imidacloprid, and …