Sheng Hu
Datos Biográficos
| ID | 3635565 |
|---|---|
| NOMBRE | Sheng Hu |
| NOMBRES | Sheng |
| APELLIDO | Hu |
| FIRMA | HU S |
| AFILIACIONES | China University of Geosciences |
| ORCID | 0000-0002-7335-2811 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 30 |
| TOTAL DE CITAS | 18 |
| TOTAL COMO AUTOR | 30 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2003 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 3 |
Toward greener, smarter, and more resilient cities
Exploring the impact of public health-related academic competitions on the competencies of university students
Background: Since the outbreak of COVID-19 in 2019, public health emergencies have garnered widespread attention, leading to an increasing emphasis in academia on cultivating high-quality public health professionals. In the context of digital transformation, public health competitions have emerged as an innovative educational approach for developing multifaceted public health talent. Methods: This study examines the current state of university st…
Exploring the impacts of fine-scale urban thermal comfort on residents' taxi-based travel during extreme cold and hot periods
A hybrid spatial learning method integrating graph neural networks and explainable AI to understand urban vitality
Sheng-ji Hua-yu Formula promotes diabetic ulcer healing via regulating the cAMP/PKA/CREB signaling pathway
Novel monomers recipe derived from Shengji-Huayu formula targeting PI3K/Akt signaling pathway for diabetic wound healing based on accurate network pharmacology
Triterpenes from Ganoderma lucidum inhibit hepatocellular carcinoma by regulating enhancer-associated lncRNA in vivo
Towards SDGs 9, 11, and 13
The synergistic reduction of pollution and carbon emissions (SRPCE) is a crucial goal for achieving SDG 13 (Climate Action). Artificial intelligence technology innovation (AITI), which represents SDG 9 (Industry, Innovation, and Infrastructure), has an unclear impact on SRPCE. This paper investigates how AITI promotes SRPCE through manufacturing investment networks, reflecting its role in advancing SDG 11 (Sustainable Cities and Communities). Fro…
Revealing the hierarchical overlapping urban structure using taxi trajectory data
Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones
Geospatial Applications in Alzheimer’s Disease Research and Beyond
Accurate network pharmacology and novel ingredients formula of herbal targeting estrogen signaling for psoriasis intervention
Spatio-temporal heterogeneity in the international trade resilience during Covid-19
Maps
Transcriptomics and systems network-based molecular mechanism of herbal formula Huosu-Yangwei inhibited gastric cancer in vivo
Case report
Green nail syndrome (GNS) is an infectious disorder characterized by greenish discoloration of the nail plate. Pseudomonas aeruginosa is the most common organism that causes GNS. It is an opportunistic human pathogen that preferentially colonizes moist environments, and thus, it usually affects patients with a history of prolonged exposure to moist environments. Here, we describe a case of GNS in an epidemic prevention volunteer that was caused b…
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method
Urban function classification at road segment level using taxi trajectory data
A framework to detect and understand thematic places of a city using geospatial data
Spatial and Temporal Evolution of the Infiltration Characteristics of a Loess Landslide
Infiltration plays an important role in influencing slope stability. However, the influences of slope failure on infiltration and the evolution of infiltration over time and space remain unclear. We studied and compared the infiltration rates in undisturbed loess and disturbed loess in different years and at different sites on loess landslide bodies. The results showed that the average initial infiltration rate in a new landslide body (triggered …
A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data
Investigating public biodiversity conservation awareness based on the propagation of wildlife-related incidents on the Sina Weibo social media platform
The use of social media platforms (e.g. Twitter and Facebook) to raise public awareness towards wildlife conservation is an emerging discussion. However, little is currently known about the propagation pattern of wildlife-related information on social media. In this study, a quantitative model was developed based on 230 independent cetacean stranding incidents (2008–2018) across mainland China from a popular Chinese social media platform (Sina We…
Quantitative contribution of climate change and human activities to runoff changes in the Bahe River watershed of the Qinling Mountains, China
Characterization and causes analysis for algae blooms in large river system
Public Knowledge about Dementia in China
Dementia is a serious public health problem. The more extensive dementia knowledge is, the more conducive it is to early prevention and treatment of dementia. However, no assessment of the general population's dementia awareness has been conducted so far in China. Thus, this study assessed the national public knowledge of dementia based on mobile internet in China. We assessed 10,562 national respondents recruited based on the most popular social…
Qualitative and quantitative ethnobotanical study of the Pangkhua community in Bilaichari Upazilla, Rangamati District, Bangladesh
BACKGROUND: The present study documents the ethnomedicinal knowledge among the traditional healers of the Pangkhua indigenous community of Bangladesh. The documented data from this area was quantitatively analyzed for the first time. We aimed to record ethnomedicinal information from both the traditional healers and also the elderly men and women of the community, in order to compile and document all available information concerning plant use and…
Obsidian Sub-Sources at the Zaragoza-Oyameles Quarry in Puebla, Mexico
We present data produced through archaeological and geological survey, as well as geochemical analysis of the Zaragoza-Oyameles obsidian source area located on the northern and western flanks of the Los Humeros Caldera in eastern Puebla, Mexico. One result of the intensive archaeological surface survey of this obsidian source area was the identification of 117 obsidian flow-band exposures. Geologic samples from 40 of these were submitted for inst…
A framework to detect and understand thematic places of a city using geospatial data
Revealing the hierarchical overlapping urban structure using taxi trajectory data
A wholesome ece education
Fast advancing technologies will require a drastic transformation in the teaching of electrical and computer engineering (ECE). The current practice of compressing more and more materials into the four-year ECE curriculum must end. An ECE curriculum must be designed to provide students with solid fundamental knowledge and to teach them how to learn. It is more important to have a curriculum that teaches knowledge and skills that are long lasting …
Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model
Severe fever with thrombocytopenia syndrome (SFTS) is caused by severe fever with thrombocytopenia syndrome virus (SFTSV), which has had a serious impact on public health in parts of Asia. There is no specific antiviral drug or vaccine for SFTSV and, therefore, it is important to determine the factors that influence the occurrence of SFTSV infections. This study aimed to explore the spatial associations between SFTSV infections and several potent…
Obsidian Sub-Sources at the Zaragoza-Oyameles Quarry in Puebla, Mexico
We present data produced through archaeological and geological survey, as well as geochemical analysis of the Zaragoza-Oyameles obsidian source area located on the northern and western flanks of the Los Humeros Caldera in eastern Puebla, Mexico. One result of the intensive archaeological surface survey of this obsidian source area was the identification of 117 obsidian flow-band exposures. Geologic samples from 40 of these were submitted for inst…
Quantitative contribution of climate change and human activities to runoff changes in the Bahe River watershed of the Qinling Mountains, China
Characterization and causes analysis for algae blooms in large river system
Public Knowledge about Dementia in China
Dementia is a serious public health problem. The more extensive dementia knowledge is, the more conducive it is to early prevention and treatment of dementia. However, no assessment of the general population's dementia awareness has been conducted so far in China. Thus, this study assessed the national public knowledge of dementia based on mobile internet in China. We assessed 10,562 national respondents recruited based on the most popular social…
Exploring Multidimensional Spatiotemporal Point Patterns Based on an Improved Affinity Propagation Algorithm
Affinity propagation (AP) is a clustering algorithm for point data used in image recognition that can be used to solve various problems, such as initial class representative point selection, large-scale sparse matrix calculations, and large-scale data with fewer parameter settings. However, the AP clustering algorithm does not consider spatiotemporal information and multiple thematic attributes simultaneously, which leads to poor performance in d…
Qualitative and quantitative ethnobotanical study of the Pangkhua community in Bilaichari Upazilla, Rangamati District, Bangladesh
BACKGROUND: The present study documents the ethnomedicinal knowledge among the traditional healers of the Pangkhua indigenous community of Bangladesh. The documented data from this area was quantitatively analyzed for the first time. We aimed to record ethnomedicinal information from both the traditional healers and also the elderly men and women of the community, in order to compile and document all available information concerning plant use and…
Spatial and Temporal Evolution of the Infiltration Characteristics of a Loess Landslide
Infiltration plays an important role in influencing slope stability. However, the influences of slope failure on infiltration and the evolution of infiltration over time and space remain unclear. We studied and compared the infiltration rates in undisturbed loess and disturbed loess in different years and at different sites on loess landslide bodies. The results showed that the average initial infiltration rate in a new landslide body (triggered …
A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data
Investigating public biodiversity conservation awareness based on the propagation of wildlife-related incidents on the Sina Weibo social media platform
The use of social media platforms (e.g. Twitter and Facebook) to raise public awareness towards wildlife conservation is an emerging discussion. However, little is currently known about the propagation pattern of wildlife-related information on social media. In this study, a quantitative model was developed based on 230 independent cetacean stranding incidents (2008–2018) across mainland China from a popular Chinese social media platform (Sina We…
Urban function classification at road segment level using taxi trajectory data
A framework to detect and understand thematic places of a city using geospatial data
Case report
Green nail syndrome (GNS) is an infectious disorder characterized by greenish discoloration of the nail plate. Pseudomonas aeruginosa is the most common organism that causes GNS. It is an opportunistic human pathogen that preferentially colonizes moist environments, and thus, it usually affects patients with a history of prolonged exposure to moist environments. Here, we describe a case of GNS in an epidemic prevention volunteer that was caused b…
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method
Spatio-temporal heterogeneity in the international trade resilience during Covid-19
Maps
Transcriptomics and systems network-based molecular mechanism of herbal formula Huosu-Yangwei inhibited gastric cancer in vivo
Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones
Geospatial Applications in Alzheimer’s Disease Research and Beyond
Accurate network pharmacology and novel ingredients formula of herbal targeting estrogen signaling for psoriasis intervention
Exploring the impact of public health-related academic competitions on the competencies of university students
Background: Since the outbreak of COVID-19 in 2019, public health emergencies have garnered widespread attention, leading to an increasing emphasis in academia on cultivating high-quality public health professionals. In the context of digital transformation, public health competitions have emerged as an innovative educational approach for developing multifaceted public health talent. Methods: This study examines the current state of university st…
Exploring the impacts of fine-scale urban thermal comfort on residents' taxi-based travel during extreme cold and hot periods
A hybrid spatial learning method integrating graph neural networks and explainable AI to understand urban vitality
Sheng-ji Hua-yu Formula promotes diabetic ulcer healing via regulating the cAMP/PKA/CREB signaling pathway
Geography (15 obras) · Medicine (10 obras) · Computer Science (9 obras) · Biology (6 obras) · China (6 obras) · Ecology (6 obras) · Human Mobility and Location-Based Analysis (6 obras) · Geology (5 obras) · Traditional medicine (5 obras) · Artificial Intelligence (4 obras)