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Article
Open AccessCorrection: A Multiparametric MRI-based Radiomics Model for Stratifying Postoperative Recurrence in Luminal B Breast Cancer
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Article
Open AccessApplication of the process-based teaching based on SPARK case database in the practice teaching of radiology in the musculoskeletal system for undergraduate medical students
Process-based teaching is a new education model. SPARK case database is a free medical imaging case database. This manuscript aimed to explore the application of the process-based teaching based on SPARK case ...
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Article
Future in the past: paternal reprogramming of offspring phenotype and the epigenetic mechanisms
That certain preconceptual paternal exposures reprogram the developmental phenotypic plasticity in future generation(s) has conceptualized the “paternal programming of offspring health” hypothesis. This transg...
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Article
Variable selection in proportional odds model with informatively interval-censored data
The proportional odds (PO) model is one of the most commonly used models for regression analysis of failure time data in survival analysis. It assumes that the odds of the failure is proportional to the baseli...
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Article
Open AccessOptimizing enzyme properties to enhance dihydroxyacetone production via methylglyoxal biosensor development
Dihydroxyacetone (DHA) stands as a crucial chemical material extensively utilized in the cosmetics industry. DHA production through the dephosphorylation of dihydroxyacetone phosphate, an intermediate product ...
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Article
Open AccessGastric emptying of a glucose drink is predictive of the glycaemic response to oral glucose and mixed meals, but unrelated to antecedent glycaemic control, in type 2 diabetes
Gastric emptying (GE), with wide inter-individual but lesser intra-individual variations, is a major determinant of postprandial glycaemia in health and type 2 diabetes (T2D). However, it is uncertain whether ...
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Article
Grey matter structural alterations in anxiety disorders: a voxel-based meta-analysis
Anxiety disorders (ADs) are a group of prevalent and destructive mental illnesses, but the current understanding of their underlying neuropathology is still unclear. Employing voxel-based morphometry (VBM), pr...
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Article
Automotive adhesive defect detection based on improved YOLOv8
In automotive adhesive defect detection, manual inspection suffers from low efficiency and blind spots in human vision, which affects the performance of parts. Therefore, automated detection methods are partic...
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Article
Open AccessA Multiparametric MRI-based Radiomics Model for Stratifying Postoperative Recurrence in Luminal B Breast Cancer
This study aims to develop an MRI-based radiomics model to assess the likelihood of recurrence in luminal B breast cancer. The study analyzed medical images and clinical data from 244 patients with luminal B b...
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Article
Effect of Powder Particle Size on Microstructure and Mechanical Properties of Cold-Sprayed Pure Nickel Coatings
In this study, the effect of particle size on the microstructure and mechanical properties of cold-sprayed nickel coatings was investigated using three particle size ranges of pure nickel powders. The experime...
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Article
Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability
Effective geochemical anomaly identification is crucial in mineral exploration. Recent trends have favored deep learning (DL) to decipher geochemical survey data. Yet purely data-driven DL algorithms often lac...
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Article
Open AccessCorrection: circular RNAs in renal cell carcinoma: from mechanistic to clinical perspective
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Chapter and Conference Paper
Optimal Design and Landing Simulation of an Asteroid Probe with Variable Stiffness Legs
Attachment mechanisms are used and usually firmly connected to the main body of the asteroid probe to maintain the attitude and ensure the following sampling work. However, the probe with rigid connections has...
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Chapter and Conference Paper
Flue-Cured Tobacco Grading Method Based on a Convolutional Neural Network
Artificial flue-cured tobacco grading often has problems such as unstable grading results and low qualification rates, which lead to waste of tobacco resources and conflicts between tobacco farmers and collect...
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Chapter and Conference Paper
Second-Order Gradient Loss Guided Single-Image Super-Resolution
With the development of deep learning, convolutional neural networks for single-image super-resolution have been proposed and achieved great success. However, most of these methods use L1 loss to guide network...
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Chapter and Conference Paper
Research on the Construction of Highway Engineering Cost Prediction Model Based on GA-BP Algorithm
The cost prediction model is critical in highway engineering, however it has an issue with erroneous performance positioning. The typical Association rule mining algorithm is unable to address the the model co...
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Article
Effects of encoding type and retention interval on emotional memory
Emotion regulates our memory in daily life. Previous studies have shown that extrinsic emotion during encoding impairs the memory for target stimulus. However, most previous studies focused on the effects of e...
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Article
Distributed smoothed rank regression with heterogeneous errors for massive data
Rank estimation methods are robust and highly efficient for estimating linear regression model. This paper investigates the rank regression estimation for massive data. To deal with the situation that the data...
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Article
Open AccessDeep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography
To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT).
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Article
Open AccessErratum to: Data-driven soft sensors in blast furnace ironmaking: a survey
