A5045986851- Iron Metabolism and Disorders
- Stock Market Forecasting Methods
- Blockchain Technology Applications and Security
- Thyroid Disorders and Treatments
- IoT and Edge/Fog Computing
- Data Stream Mining Techniques
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Advanced Image Processing Techniques
- Advanced Radiotherapy Techniques
- Image and Signal Denoising Methods
- Market Dynamics and Volatility
- Blood Pressure and Hypertension Studies
- Financial Markets and Investment Strategies
- Cardiovascular Health and Risk Factors
- IoT-based Smart Home Systems
- Nutritional Studies and Diet
- Extracellular vesicles in disease
- Age of Information Optimization
- Heavy Metal Exposure and Toxicity
- Text and Document Classification Technologies
- Phytochemical Studies and Bioactivities
- Land Use and Ecosystem Services
- Sodium Intake and Health
- Clinical Laboratory Practices and Quality Control
Chinese Center For Disease Control and Prevention
2013-2024
China Medical University
2024
First Hospital of China Medical University
2024
Taylor's University
2024
Hunan University
2024
Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine
2022-2023
Dali University
2023
Beijing University of Chinese Medicine
2023
Sun Yat-sen University
2019-2022
Anhui University of Science and Technology
2022
In algorithmic trading, feature extraction and trading strategy design are two prominent challenges to acquire long-term profits. However, the previously proposed methods rely heavily on domain knowledge extract handcrafted features lack an effective way dynamically adjust strategy. With recent breakthroughs of deep reinforcement learning (DRL), sequential real-world problems can be modeled solved with a more human-like approach. this paper, we propose novel agent, based learning,...
Abstract The high incidence, seasonal pattern and frequent outbreaks of hand, foot, mouth disease (HFMD) represent a threat for millions children in mainland China. And advanced response is being used to address this. Here, we aimed model time series with long short-term memory (LSTM) based on the HFMD notified data from June 2008 2018 ultimate performance was compared autoregressive integrated moving average (ARIMA) nonlinear auto-regressive neural network (NAR). results indicated that...
Bitcoin has attracted extensive attention from investors, researchers, regulators, and the media. A well-known unusual feature is that Bitcoin’s price often fluctuates significantly, which however received less attention. In this paper, we investigate fluctuation prediction problem, can be described as whether keeps or reversals after a large fluctuation. three kinds of features are presented for prediction, including basic features, traditional technical trading indicators, generated by...
The details of the host workloads in cloud computing environment and application demands real world system are becoming so complex that it throws a big challenge to major infrastructure vendors. To achieve service level agreements between users vendors, is essential apply accurate prediction future load, which also significant improve resource allocation utilization computing. Although there were several various methods models developed, few them can acquire long-term temporal dependencies...
Stock movement prediction is a critical issue in the field of financial investment. It very challenging since stock usually shows highly stochastic property price and has complex relationships with other stocks. Most existing approaches cannot jointly take above two issues into account thus yield satisfactory result. This paper contributes new model, Selective Transfer Learning Adversarial Training (STLAT). Our STLAT method advances solutions major aspects: (i) tailoring pre-trained...
My paper mainly introduces some applications of the technologies Internet Things (IoT) which offer capabilities to identify and connect worldwide physical objects into a unified system. With rapid development construction industries, people are eager get more intelligent living conditions. The Intelligent Community Security System (ICSS) is becoming one biggest IoT. purposes ICSS preventing invasion, automatic property management, real-time alarm quickly treatments accidents, etc. system can...
: Prediabetes has become a global health issue, and currently, the relationship between vitamin levels mortality in prediabetes remains unclear. This study aims to investigate association of eleven vitamins all-cause cardiovascular disease (CVD) patients.
This paper discusses the application and analysis of information security in intelligent management sports equipment. With rapid development security, equipment has become more convenient, fast safe. Through situation assessment algorithm Petri net model natural language processing, body is realized, personalized service recommendation are provided, user participation interaction enhanced, marketing strategies optimized, experience loyalty enhanced. In design management, SVM model, attack...
This research is dedicated to training an effective text sentiment analysis model based on the Amazon review dataset. To evaluate performance, Recall and F1 scores were adopted as evaluation metric introduced grid search random techniques tune hyperparameters ensure optimal effectiveness. In data preprocessing, operations like cleaning, tokenization, feature extraction performed. After with machine learning, its performance positive negative emotion categories was evaluated used confusion...
The rapid development of the Internet provides a shortcut for dissemination digital content. A large amount text, images, audio, and content are digitally placed on Internet, how to optimize traditional copyright transaction rights protection methods better protect creators has become an urgent problem be studied solved. Blockchain as emerging encryption technology in recent years.It seen new opportunity rights. This study combines blockchain registration design complete application system....
Abstract Heart failure (HF) is often accompanied by cognitive impairment (CI). Brain‐derived neurotrophic factor (BDNF) deficiency closely associated with CI. However, the role and mechanism of BDNF in HF CI still not fully understood. Here, case–control study was designed including 25 without patients (HF‐NCI) 50 (HF‐CI) to investigate predictive value HF‐CI while animal cell experiments were used for research. Results found that levels serum neuronal‐derived exosomes downregulated...
Deep convolutional neural networks have demonstrated superior performance in natural image denoising. Trainable network weights been typically optimized by minimizing a loss function that computes pixel-wise discrepancies between the noisy and clean target image. In this study, we investigate an alternative solution utilizes more prior knowledge to highlight features of interest modifying their contributions global function. We propose feature-oriented deep (FeaOri-DCNN) for PET denoising...
Objective To explore the resilience characteristics of traumatic fracture patients and its influence on acute stress disorder(ASD), provide basis for improving population's ability to cope with stressful events level clinic. Methods 440 cases hospitalized in Tangshan Second Hospital were selected this study. All subjects assessed SASRQ, CD-RISC, AIS-ISS, VAS general condition investigations. Results The was at middle, total score was(51.13±14.81) points, lower than that national...