- Advanced oxidation water treatment
- Acupuncture Treatment Research Studies
- Advanced Vision and Imaging
- Reservoir Engineering and Simulation Methods
- E-commerce and Technology Innovations
- Video Coding and Compression Technologies
- Pharmaceutical and Antibiotic Environmental Impacts
- Advanced Image Processing Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Healthcare and Venom Research
- Food Waste Reduction and Sustainability
- Reproductive System and Pregnancy
- Ginseng Biological Effects and Applications
- Optical measurement and interference techniques
- Environmental remediation with nanomaterials
- Advanced biosensing and bioanalysis techniques
- Ectopic Pregnancy Diagnosis and Management
- Musculoskeletal pain and rehabilitation
- Acute Myeloid Leukemia Research
- Hydrocarbon exploration and reservoir analysis
- Context-Aware Activity Recognition Systems
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Water Treatment and Disinfection
- Smart Grid and Power Systems
Guangdong University of Technology
2025
Nanning Normal University
2022-2024
Chongqing University
2022-2024
LabCorp (United States)
2022-2024
Changchun Institute of Applied Chemistry
2024
Chengdu University of Traditional Chinese Medicine
2022-2024
University of Shanghai for Science and Technology
2022-2024
Shandong University
2023-2024
Jiangxi Agricultural University
2024
Southwest University of Science and Technology
2024
Abstract Gastric cancer is a highly prevalent disease that poses serious threat to public health. In clinical practice, gastroscopy frequently used by medical practitioners screen for gastric cancer. However, the symptoms of at different stages advancement vary significantly, particularly in case early (EGC). The manifestations EGC are often indistinct, leading detection rate less than 10%. recent years, researchers have focused on leveraging deep learning algorithms assist professionals...
Vibration sensors are essential for signal acquisition, motion measuring, and structural health evaluations in civil industrial applications. However, the mechanical brittleness complicated installation process of micro-electromechanical system vibration block their applications wearable devices human–machine interaction. The development flexible satisfying requirements good flexibility, high sensitivity, ability to attach conformably on curved critical components is highly demanded but...
For the beneficial utilization of food waste (FW), valorization processes that output high-value products including carbon source alternatives for biological nutrient removal, biochar, or refuse-derived fuels (RDF) are reported to be technically and economically beneficial, while climate change impact these emerging technologies is unclear lacks a benchmark comparison. In this study, impacts six diverse scenarios FW were evaluated through life cycle assessment compared with incineration...
Diffusion models have achieved cutting-edge performance in image generation. However, their lengthy denoising process and computationally intensive score estimation network impede scalability low-latency resource-constrained scenarios. Post-training quantization (PTQ) compresses accelerates diffusion without retraining, but it inevitably introduces additional noise, resulting mean variance deviations. In this work, we propose D2-DPM, a dual mechanism aimed at precisely mitigating the adverse...
ABSTRACT Addressing multi‐objective optimization problems (MOPs) with complex constraints presents a significant challenge due to their diverse nature. While existing algorithms can effectively handle specific types of constraints, they often struggle variety such constraints. To address this issue, we propose an innovative evolutionary algorithm for constrained optimization. A key feature is the integration novel differential operator that generates offspring based on presence feasible...
Diffusion models have achieved cutting-edge performance in image generation. However, their lengthy denoising process and computationally intensive score estimation network impede scalability low-latency resource-constrained scenarios. Post-training quantization (PTQ) compresses accelerates diffusion without retraining, but it inevitably introduces additional noise, resulting mean variance deviations. In this work, we propose D2-DPM, a dual mechanism aimed at precisely mitigating the adverse...
The increasing popularity of vehicles has led to traffic congestion and frequent accidents. Intelligent transportation technology is an effective solution this problem. In order improve the accuracy effectiveness vehicle detection tracking, paper combined improved YOLOv5s model with optimized DeepSORT tracking algorithm detect track on roads. Firstly, in YOLOv5s, Attention-based Intra-scale Feature Interaction (AIFI) module introduced more quickly accurately. Secondly, Kalman filtering (KF)...
Today, the development of unmanned aerial vehicles (UAVs) has attracted significant attention in both civil and military fields due to their flight flexibility complex dangerous environments. However, energy constraints, UAVs can only finish a few tasks limited time. The problem finding best path while balancing task completion time coverage rate needs be resolved urgently. Therefore, this paper proposes UAV algorithm base on greedy strategy ant colony optimization. Firstly, introduces...
Abstract The COVID-19 epidemic is changing people's lives, so it necessary to continuously update the design of residence adapt life. This study aims investigate impact unit space layout factors in MURBs on residents' experiences during pandemic. It also discusses corresponding need for residential renovations. Furthermore, this paper presents adjustment recommendations residents living these constrained buildings and provides suggestions future housing better meet needs. On one hand, should...
Background: Chronic neck pain (CNP) is highly prevalent and complicated, associated with limited movement, accompanied by shoulder other clinical manifestations such as dizziness, anxiety, insomnia. Brain structural functional abnormalities often occur in patients CNP. However, knowledge of the brain's organization temporal dynamics CNP limited. Dynamic connectivity density (dFCD) can reflect ability brain areas or voxels to integrate information, could become neuroimaging markers for...
To efficiently remove organic and inorganic pollutants from leachate concentrate, an in situ coagulation-electrochemical oxidation (CO-EO) system was proposed using Ti/Ti4O7 anode Al cathode, coupling the "super-Faradaic" dissolution of Al. The evaluated terms removal efficiencies organics, nutrients, metals, underlying cathodic mechanisms were investigated compared with Ti/RuO2-IrO2 graphite cathode systems. After a 3-h treatment, Al-cathode removed 89.0% COD 36.3% total nitrogen (TN). TN...
This work was conducted mainly to provide a healthy and safe monitoring system for the elderly living in home environment. In this paper, two different target fall detection schemes are proposed based on whether is visible or not. When visible, vision-based algorithm proposed, where an image of captured by camera transmitted improved You Only Look Once version 5s (YOLOv5s) model posture detection. contrast, when invisible, WiFi-based channel state information (CSI) signals used estimate...
Among a series of video coding standards jointly developed by ITU-T, VCEG, and MPEG, high-efficiency (HEVC) is one the most widely used today. Therefore, it still necessary to further reduce complexity HEVC. In HEVC standard, flexible partitioning procedure entitled “quad-tree partition” proposed significantly improve efficiency, which, however, leads high complexity. To intra-frame prediction, this paper proposes scheme based on densely connected convolution neural network (D-CNN) predict...
Although subcutaneous edema is a common symptom of critically ill patients, it still underreported due to the lack systematic method for evaluating it. The present study aims describe occurrence and distribution edema, as well risk factors associated with it, in patients using focused liquid ultrasonography dropsy (FLUID) protocol, assess their impact on ICU mortality.The FLUID protocol pitting test were performed general China. Cohen's Kappa coefficient Bland-Altman plots used evaluate...
Abstract Objective Acupuncture has shown promise in treating neck pain. Clinical trials have mixed results, possibly due to heterogeneous methodologies and the lack of knowledge regarding underlying brain circuit mechanism action. In this study, we investigated specific contribution serotonergic system pain, circuits involved. Methods A total 99 patients with chronic pain (CNP) were randomized receive true acupuncture (TA) or sham (SA) 3 times weekly for 4 weeks. Patients CNP each group...
Abstract This study aims to investigate the epidemiological characteristics of Epstein‐Barr virus (EBV) infection in children and distribution disease spectrum hospitalized patients Shandong Province. A retrospective analysis was conducted on clinical data with EBV admitted hospitals Province from January 2022 December 2022. The characteristics, including age, gender, manifestations, were analyzed. detection rate antibodies seropositivity rates different also examined. total 7124 included...