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Article
Open AccessRisk factor analysis and establishment of a nomogram model to predict blood loss during total knee arthroplasty
The risk factors for excessive blood loss and transfusion during total knee arthroplasty (TKA) remain unclear. The present study aimed to determine the risk factors for excessive blood loss and establish a pre...
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Article
Open AccessNuciferine reduces vascular leakage and improves cardiac function in acute myocardial infarction by regulating the PI3K/AKT pathway
The destruction of the microvascular structure and function can seriously affect the survival and prognosis of patients with acute myocardial infarction (AMI). Nuciferine has a potentially beneficial effect in...
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Article
Improved radiographic outcomes and decreased complications rate on the femoral side can be achieved by a novel designed whole-process robotic assisted hip system for total hip arthroplasty: a prospective randomized controlled trial
Postoperative complications due to inaccurate prosthesis positioning are the main causes of early revision. The aim of this study was to (1) determine whether novel designed whole-process robotic assisted hip ...
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Article
Self-triggered adjustable prescribed performance control for stochastic multiagent systems with communication faults
The complex working environment and accurate transient performance bring the challenges for the tracking control of multiagent systems (MASs). To guarantee the control performance of stochastic MASs under the ...
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Article
Open AccessAccuracy and safety of a new robotic arm for both femoral and acetabular side in total hip arthroplasty: a cadaveric study
To investigate the accuracy and safety of a newly constructed robotic arm which can cover the whole process of THA, we performed a series of robot-assisted total hip replacement on the cadaver.
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Article
Prospective randomized controlled trial on the accuracy of prosthesis positioning in total hip arthroplasty assisted by a newly designed whole-process robotic arm
The purpose of this article is to study whether the newly designed whole-process total hip arthroplasty (THA) robotic arm can improve the accuracy of prosthesis placement in THA.
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Chapter and Conference Paper
Research and Application of 5G Massive MIMO Antenna Weight Intelligent Optimization Based on 4G/5G Coordination
This paper introduces and analyzes the principle, current situation and application of 5G massive MIMO antenna weight intelligent optimization. Further, this paper presents an intelligent optimization method o...
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Chapter and Conference Paper
A Guidance and Control Scheme Based on NDO for Flexible Hypersonic Vehicle
A guidance and control scheme utilizing nonlinear disturbance observer (NDO) technique for flexible hypersonic vehicle (FHV) is designed in this article. The motion model of FHV in glide phase in denoted. The ...
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Chapter and Conference Paper
Multi-sensor Data Fusion for UAV Landing Based on Federal Variational Bayesian Filtering
This paper proposes a multi-sensor positioning technology for unmanned aerial vehicle (UAV) landing based on inertial navigation system (INS)/Global navigation satellite system (GNSS)/Radar integrated guidance...
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Article
LncRNA TTN-AS1 exacerbates extracellular matrix accumulation via miR-493-3p/FOXP2 axis in diabetic nephropathy
Diabetic nephropathy (DN), a common cause of chronic renal failure and end-stage renal disease, leads to a high mortality. However, the role of TTN-AS1 in extracellular matrix (ECM) accumulation during DN rema...
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Article
Open AccessEvaluation of double-high insert mid-term outcomes in cruciate-retaining medial-pivotal total knee arthroplasty – a propensity score-matched analysis with averaged 8-year follow-up
This study aimed to compare the mid-term clinical and radiographic outcomes between medial-pivotal (MP) insert and double-high (DH) insert used under the cruciate-retaining condition in ADVANCE® total knee art...
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Article
Open AccessMTAP loss correlates with an immunosuppressive profile in GBM and its substrate MTA stimulates alternative macrophage polarization
Glioblastoma (GBM) is a lethal brain cancer known for its potent immunosuppressive effects. Loss of Methylthioadenosine Phosphorylase (MTAP) expression, via gene deletion or epigenetic silencing, is one of the mo...
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Article
Tribological Performance and Mechanism of MoN/VN Multilayer Films with Different Modulation Periods at Different Temperature
The MoN/VN multilayer films with three modulation periods (Λ) were deposited on 718 alloy steel substrates by magnetron sputtering. The effects of Λ on microstructure, mechanical properties, and friction perfo...
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Article
Open AccessCerebralcare Granule® enhances memantine hydrochloride efficacy in APP/PS1 mice by ameliorating amyloid pathology and cognitive functions
Alzheimer’s disease (AD) is a progressive neurodegenerative disease characterized by memory deficits and cognitive decline. Current drugs can only relieve symptoms, but cannot really cure AD. Cerebralcare Gran...
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Article
Clinically applicable artificial intelligence algorithm for the diagnosis, evaluation, and monitoring of acute retinal necrosis
The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis (ARN). The potential application of artificial intellige...
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Article
Clinical outcomes of dialysis patients with COVID-19 in the initial phase of the COVID-19 outbreak in Wuhan, China
Since the end of 2019, dialysis patients have been at risk of coronavirus disease 2019 (COVID-19) as well as other potential complications. Hence, we sought to describe the clinical characteristics of dialysis...
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Article
Using a FMEA–TIFIAD Approach to Identify the Risk of Railway Dangerous Goods Transportation System
In this paper a systemic approach that combines Failure Mode and Effect Analysis (FMEA) and trapezoidal intuitionistic fuzzy information axiomatic design (TIFIAD) is proposed to identify the risk of railway da...
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Article
Open AccessAutomatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study
The incidence rates of cervical cancer in develo** countries have been steeply increasing while the medical resources for prevention, detection, and treatment are still quite limited. Computer-based deep lea...
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Chapter and Conference Paper
Frame Aggregation and Multi-modal Fusion Framework for Video-Based Person Recognition
Video-based person recognition is challenging due to persons being blocked and blurred, and the variation of shooting angle. Previous research always focused on person recognition on still images, ignoring sim...
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Chapter and Conference Paper
Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT
Automatic and accurate Intrahepatic Cholangiocarcinoma (ICC) segmentation in non-enhanced abdominal CT images can provide significant assistance for clinical decision making. While deep neural networks offer a...
