306 results for "Jiaming Zhang"
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Journal Article
Glypican-3 regulated epithelial mesenchymal transformation-related genes in osteosarcoma: based on comprehensive tumor microenvironment profiling
IntroductionOsteosarcoma (OS) is the most common primary bone malignancy, predominantly affecting children and adolescents. Current treatment approaches have limited efficacy, with a 5-year survival rate of approximately 60%. Epithelial-mesenchymal transition (EMT) plays a key role in the onset…
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Delineating Regional BES–ELM Neural Networks for Studying Indoor Visible Light Positioning
This paper introduces a single LED and four photodetectors (PDs) as a visible light system structure and collects the received signal strength values and corresponding physical coordinates at the PD receiving end, establishing a comprehensive dataset. The K-means clustering algorithm is employed to…
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The difference and clinical application of modified thoracolumbar fracture classification scoring system in guiding clinical treatment
OBJECTIVE: This study aimed to evaluate the feasibility of the modified thoracolumbar injury classification and severity score system in guiding clinical treatment. METHODS: A retrospective study was conducted on a cohort of 120 patients with thoracolumbar fractures who were admitted to the…
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Intention Understanding in Human–Robot Interaction Based on Visual-NLP Semantics
With the rapid development of robotic and AI technology in recent years, human–robot interaction has made great advancement, making practical social impact. Verbal commands are one of the most direct and frequently used means for human–robot interaction. Currently, such technology can enable robots…
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Using a Data Mining Method to Explore Strategies for Improving the Social Interaction Environment Quality of Urban Neighborhood Open Spaces
With the intensification of population aging and the increasing awareness of public health protection in the post-epidemic era, the renewal of the old urban community neighborhood space is facing many new challenges and problems. Neighborhood Public Open Space (POS) is the main place for people to…
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A machine vision dataset for automated quality inspection and grading of sweetpotatoesZenodo
Sweetpotatoes grading, particularly for defects, is a labor-intensive operation and often constrained by inconsistencies in manual inspection. To facilitate the development of automated quality grading systems, this article presents a unique, unified machine vision dataset specifically for…
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An Analytical Method for Predicting the Influence of Sequential Vertical Curved Pipe Jacking on an Enclosed Object
A thorough understanding of the effects induced by continuous curved pipe jacking on adjacent underground facilities is paramount for ensuring both safety and operational efficiency during construction. This study posits a three-stage analytical framework designed to calculate the displacement of…
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How do risks and benefits affect user’ privacy decisions? An event-related potential study on privacy calculus process
PurposeThe purpose of this study is to examine how risks and benefits affect users’ privacy-related decision-making processes.Design/methods/approachThis study collected and analyzed the neural activity processes of users’ privacy-related decisions when faced with personalized services with…
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Associations between serum urate and telomere length and inflammation markers: Evidence from UK Biobank cohort
ObjectiveHyperuricemia and gout have become gradually more common. The effect of serum urate on organism aging and systematic inflammation is not determined. This study aims to evaluate whether serum urate is causally associated with cellular aging markers and serum inflammation markers.MethodsA…
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Time-Sensitive and Resource-Aware Concurrent Workflow Scheduling for Edge Computing Platforms Based on Deep Reinforcement Learning
The workflow scheduling on edge computing platforms in industrial scenarios aims to efficiently utilize the computing resources of edge platforms to meet user service requirements. Compared to ordinary task scheduling, tasks in workflow scheduling come with predecessor and successor constraints…
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Land Subsidence Prediction Model Based on the Long Short-Term Memory Neural Network Optimized Using the Sparrow Search Algorithm
Land subsidence is a prevalent geological issue that poses significant challenges to construction projects. Consequently, the accurate prediction of land subsidence has emerged as a focal point of research among scholars and experts. Traditional mathematical models exhibited certain limitations in…
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Multiple-parameter bifurcation analysis in a Kuramoto model with time delay and distributed shear
In this paper, time delay effect and distributed shear are considered in the Kuramoto model. On the Ott-Antonsen’s manifold, through analyzing the associated characteristic equation of the reduced functional differential equation, the stability boundary of the incoherent state is derived in…
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A Survey of Approximation Algorithms for the Power Cover Problem
Wireless sensor networks (WSNs) have attracted significant attention due to their widespread applications in various fields such as environmental monitoring, agriculture, intelligent transportation, and healthcare. In these networks, the power cost of a sensor node is closely related to the radius…
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Balance and security: policing strategies for counties with population loss
Abstract In global local governance, the problem of local population decline is widespread, and policing faces the unique complexity of intertwined fiscal constraints, operational challenges, and community safety needs. This study adopts a qualitative research approach using NVivo 14, conducting…
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Mechanical Behavior and Pollutant Stabilization of Modified Basalt Fiber-Reinforced Bio-Cemented Phosphogypsum
To facilitate the large-scale recycling of phosphogypsum (PG) as a construction material and mitigate the environmental safety concerns associated with its stockpiling or discharge, this study proposes an innovative approach. The method employs modified (acid-treated) basalt fibers (MBF)…
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Graph-Based Topological Embedding and Deep Reinforcement Learning for Autonomous Voltage Control in Power System
With increasing power system complexity and distributed energy penetration, traditional voltage control methods struggle with dynamic changes and complex conditions. While existing deep reinforcement learning (DRL) methods have advanced grid control, challenges persist in leveraging topological…
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Research on Deformation Failure Mechanism and Stability of Bedding Cataclastic Rock Slope Containing Multi-Muddy Interlayers
Based on the excavated slope of a waste incineration power plant in Yuxi, Yunnan Province, China, the finite element strength reduction method was used to investigate the variation rules of the safety factor, displacement, and deformation of the bedding cataclastic rock slope containing multi-muddy…
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Effect of Exogenous Protease on Flavor of Soymilk Made by Automatic Soymilk Maker
In order to study the mechanism of protease which influences on the flavor of soymilk, different kinds and concentrations of protease (papain, 15000, 30000, 45000, 60000 and 75000 U/L, aminopeptidase, 500, 1000, 1500, 2000 and 2500 U/L, flavor protease, 100, 150, 200, 250 and 300 U/L, alkaline…
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Research on surface subsidence velocity and influencing factors by coal mining under thick loose layers and thin bedrock
To study the law of surface subsidence velocity caused by coal seam mining under thick and loose layers and thin bedrock, taking the 110801 first mining face of a mine in Huainan Mining Area as the engineering background, the finite difference software FLAC3D was used to simulate the surface…