Yong Han
Datos Biográficos
| ID | 6138907 |
|---|---|
| NOMBRE | Yong Han |
| NOMBRES | Yong |
| APELLIDO | Han |
| FIRMA | HAN Y |
| AFILIACIONES | Qingdao National Laboratory for Marine Science and Technology |
| ORCID | 0000-0002-3297-2782 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 16 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 16 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2009 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Potential planetary health impacts of the airborne plastisphere
Plastics interact with microorganisms in ways that can profoundly affect ecosystems and human health. Despite their global atmospheric presence, microplastic-microbe interactions in air and their planetary health ramifications remain poorly understood. In this review, by synthesizing emerging evidence, we show that airborne microplastics could carry and sustain microorganisms over long distances and timescales, potentially dispersing pathogens, a…
Vegetation influence level on the water resources effectiveness over China
Water resources play an extremely important role in sustainable development. The hydrological processes from evapotranspiration to precipitation reshape the distribution of surface water resources, and a thorough understanding of these processes can contribute to water resources management. China has experienced vegetation greening in recent years. How China’s evapotranspiration, particularly vegetation-related evapotranspiration (transpiration a…
Relationships between triglyceride-glucose index and incident gestational diabetes mellitus
Background The connection between the triglyceride-glucose index (TyG index) and gestational diabetes mellitus (GDM) is currently debated. Our study aimed to investigate the connection between the TyG index and GDM within the Korean population. Methods Using publically accessible data in Korea, we performed a secondary study on a sample of 589 pregnant women who were carrying a single fetus. The analysis employed a binary logistic regression mode…
Relationship between Baseline Serum Potassium and 1-Year Readmission in Pediatric Patients with Heart Failure
Pediatric heart failure (HF) is associated with high readmission rates, but the optimal serum potassium range for this population remains unclear. In this single-center retrospective cohort study, 180 pediatric patients hospitalized for HF between January 2016 and January 2022 were stratified into low-potassium (<3.7 mmol/L), middle-potassium (3.7-4.7 mmol/L), and high-potassium (≥4.7 mmol/L) groups based on the distribution of potassium levels i…
Fostering college students’ mental well-being
With the widespread proliferation of the Internet, social networking sites have increasingly become integrated into the daily lives of university students, leading to a growing reliance on these platforms. Several studies have suggested that this emotional dependence on social networking sites stems from unmet psychological needs. Meanwhile, social rejection has been identified as a prevalent phenomenon that exacerbates the deficiency of individu…
Triglyceride glucose-body mass index and the risk of progression to diabetes from prediabetes
Objective: Evidence regarding the relationship between the triglyceride glucose-body mass index (TyG-BMI) and the risk of progression from prediabetes to diabetes remains limited. Our study aimed to investigate the relationship between them in patients with prediabetes. Methods: In this retrospective cohort study, data were collected from 25,279 patients with prediabetes who received health checks between 2010 and 2016. We used a Cox proportional…
PMGCN
Traffic forecasting has always been an important part of intelligent transportation systems. At present, spatiotemporal graph neural networks are widely used to capture spatiotemporal dependencies. However, most spatiotemporal graph neural networks use a single predefined matrix or a single self-generated matrix. It is difficult to obtain deeper spatial information by only relying on a single adjacency matrix. In this paper, we present a progress…
Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia
Machine learning models can fairly predict aggressive behaviors in hospitalized patients with schizophrenia, among which Random Forest has the best predictive effect and has some value in clinical application
A Comprehensive Spatio-Temporal Model for Subway Passenger Flow Prediction
Accurate subway passenger flow prediction is crucial to operation management and line scheduling. It can also promote the construction of intelligent transportation systems (ITS). Due to the complex spatial features and time-varying traffic patterns of subway networks, the prediction task is still challenging. Thus, a hybrid neural network model, GCTN (graph convolutional and comprehensive temporal neural network), is proposed. The model combines…
Artificial intelligence
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promot…
Coordinated Management of Covid-19 Response
Background: The outbreak of novel coronavirus disease 2019 (COVID-19) has been challenging globally following the scarcity of medical resources after a surge in demand. As the pandemic continues, the question remains on how to accomplish more with the existing resources and improve the efficiency of existing health care delivery systems worldwide. In this study, we reviewed the experience from Wuhan - the first city to experience a COVID-19 outbr…
A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow
Accurate prediction of citywide short-term metro passenger flow is essential to urban management and transport scheduling. Recently, an increasing number of researchers have applied deep learning models to passenger flow prediction. Nevertheless, the task is still challenging due to the complex spatial dependency on the metro network and the time-varying traffic patterns. Therefore, we propose a novel deep learning architecture combining graph at…
The health and economic impact of constructing temporary field hospitals to meet the Covid-19 pandemic surge
BACKGROUND: In response to the COVID-19 pandemic, two new temporary hospitals were constructed in record time in Wuhan, China, to help combat the fast-spreading virus in February 2020. Using the experience of one of the hospitals as a case study, we discuss the health and economic implications of this response strategy and its potential application in other countries. METHODS: This retrospective observational study analyzed health resource utiliz…
Study On The Antibacterialactivity Of Bergenia Purpurascens Extract
BACKGROUND: Bergenia purpurascens has tonic, haemostatic and anti-tussive actions. Anti-inflammatory and anti-bacterial activities of Bergenia purpurascens have not been reported so far. The objective of this paper is to provide experimental basis for the clinical application of Bergenia purpurascens through the pharmacodynamic study on its anti-inflammatory and anti-bacterial effects. METHODS: Experimental models of xylene-induced ear edema in m…
The NCEP Climate Forecast System Reanalysis
The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010. The CFSR was designed and executed as a global, high-resolution coupled atmosphere–ocean–land surface–sea ice system to provide the best estimate of the state of these coupled domains over this period. The current CFSR will be extended as an operational, real-time product into the future. New features of the CFSR include 1) co…
Effects of Kang-Jia-Wan, a Chinese medicinal herb officinal, on apoptosis induction in goiter of rats
Sin obras prominentes en esta página.
Effects of Kang-Jia-Wan, a Chinese medicinal herb officinal, on apoptosis induction in goiter of rats
The NCEP Climate Forecast System Reanalysis
The NCEP Climate Forecast System Reanalysis (CFSR) was completed for the 31-yr period from 1979 to 2009, in January 2010. The CFSR was designed and executed as a global, high-resolution coupled atmosphere–ocean–land surface–sea ice system to provide the best estimate of the state of these coupled domains over this period. The current CFSR will be extended as an operational, real-time product into the future. New features of the CFSR include 1) co…
Study On The Antibacterialactivity Of Bergenia Purpurascens Extract
BACKGROUND: Bergenia purpurascens has tonic, haemostatic and anti-tussive actions. Anti-inflammatory and anti-bacterial activities of Bergenia purpurascens have not been reported so far. The objective of this paper is to provide experimental basis for the clinical application of Bergenia purpurascens through the pharmacodynamic study on its anti-inflammatory and anti-bacterial effects. METHODS: Experimental models of xylene-induced ear edema in m…
Artificial intelligence
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promot…
Coordinated Management of Covid-19 Response
Background: The outbreak of novel coronavirus disease 2019 (COVID-19) has been challenging globally following the scarcity of medical resources after a surge in demand. As the pandemic continues, the question remains on how to accomplish more with the existing resources and improve the efficiency of existing health care delivery systems worldwide. In this study, we reviewed the experience from Wuhan - the first city to experience a COVID-19 outbr…
A Hybrid GLM Model for Predicting Citywide Spatio-Temporal Metro Passenger Flow
Accurate prediction of citywide short-term metro passenger flow is essential to urban management and transport scheduling. Recently, an increasing number of researchers have applied deep learning models to passenger flow prediction. Nevertheless, the task is still challenging due to the complex spatial dependency on the metro network and the time-varying traffic patterns. Therefore, we propose a novel deep learning architecture combining graph at…
The health and economic impact of constructing temporary field hospitals to meet the Covid-19 pandemic surge
BACKGROUND: In response to the COVID-19 pandemic, two new temporary hospitals were constructed in record time in Wuhan, China, to help combat the fast-spreading virus in February 2020. Using the experience of one of the hospitals as a case study, we discuss the health and economic implications of this response strategy and its potential application in other countries. METHODS: This retrospective observational study analyzed health resource utiliz…
A Comprehensive Spatio-Temporal Model for Subway Passenger Flow Prediction
Accurate subway passenger flow prediction is crucial to operation management and line scheduling. It can also promote the construction of intelligent transportation systems (ITS). Due to the complex spatial features and time-varying traffic patterns of subway networks, the prediction task is still challenging. Thus, a hybrid neural network model, GCTN (graph convolutional and comprehensive temporal neural network), is proposed. The model combines…
Triglyceride glucose-body mass index and the risk of progression to diabetes from prediabetes
Objective: Evidence regarding the relationship between the triglyceride glucose-body mass index (TyG-BMI) and the risk of progression from prediabetes to diabetes remains limited. Our study aimed to investigate the relationship between them in patients with prediabetes. Methods: In this retrospective cohort study, data were collected from 25,279 patients with prediabetes who received health checks between 2010 and 2016. We used a Cox proportional…
PMGCN
Traffic forecasting has always been an important part of intelligent transportation systems. At present, spatiotemporal graph neural networks are widely used to capture spatiotemporal dependencies. However, most spatiotemporal graph neural networks use a single predefined matrix or a single self-generated matrix. It is difficult to obtain deeper spatial information by only relying on a single adjacency matrix. In this paper, we present a progress…
Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia
Machine learning models can fairly predict aggressive behaviors in hospitalized patients with schizophrenia, among which Random Forest has the best predictive effect and has some value in clinical application
Relationships between triglyceride-glucose index and incident gestational diabetes mellitus
Background The connection between the triglyceride-glucose index (TyG index) and gestational diabetes mellitus (GDM) is currently debated. Our study aimed to investigate the connection between the TyG index and GDM within the Korean population. Methods Using publically accessible data in Korea, we performed a secondary study on a sample of 589 pregnant women who were carrying a single fetus. The analysis employed a binary logistic regression mode…
Relationship between Baseline Serum Potassium and 1-Year Readmission in Pediatric Patients with Heart Failure
Pediatric heart failure (HF) is associated with high readmission rates, but the optimal serum potassium range for this population remains unclear. In this single-center retrospective cohort study, 180 pediatric patients hospitalized for HF between January 2016 and January 2022 were stratified into low-potassium (<3.7 mmol/L), middle-potassium (3.7-4.7 mmol/L), and high-potassium (≥4.7 mmol/L) groups based on the distribution of potassium levels i…
Fostering college students’ mental well-being
With the widespread proliferation of the Internet, social networking sites have increasingly become integrated into the daily lives of university students, leading to a growing reliance on these platforms. Several studies have suggested that this emotional dependence on social networking sites stems from unmet psychological needs. Meanwhile, social rejection has been identified as a prevalent phenomenon that exacerbates the deficiency of individu…
Potential planetary health impacts of the airborne plastisphere
Plastics interact with microorganisms in ways that can profoundly affect ecosystems and human health. Despite their global atmospheric presence, microplastic-microbe interactions in air and their planetary health ramifications remain poorly understood. In this review, by synthesizing emerging evidence, we show that airborne microplastics could carry and sustain microorganisms over long distances and timescales, potentially dispersing pathogens, a…
Vegetation influence level on the water resources effectiveness over China
Water resources play an extremely important role in sustainable development. The hydrological processes from evapotranspiration to precipitation reshape the distribution of surface water resources, and a thorough understanding of these processes can contribute to water resources management. China has experienced vegetation greening in recent years. How China’s evapotranspiration, particularly vegetation-related evapotranspiration (transpiration a…
Medicine (9 obras) · Computer Science (6 obras) · Artificial Intelligence (4 obras) · Internal Medicine (4 obras) · Artificial neural network (3 obras) · Biology (3 obras) · China (3 obras) · Environmental health (3 obras) · Geography (3 obras) · Population (3 obras)