Qiang Ma
Biographic Data
| ID | 3646086 |
|---|---|
| NAME | Qiang Ma |
| GIVEN NAMES | Qiang |
| FAMILY NAME | Ma |
| SIGNATURE | MA Q |
| AFFILIATIONS | Hunan University of Traditional Chinese Medicine |
| ORCID | 0000-0002-3428-8140 |
| VERIFIED | Yes |
| TOTAL WORKS | 23 |
| TOTAL CITATIONS | 26 |
| WORKS AS AUTHOR | 23 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Measuring and comparing the development of cultural amenities in the Yangtze River basin
This paper proposes an evaluation index system designed to empirically measure the developmental status of cultural amenities in various cities along the Yangtze River in China. Using the analytic hierarchy process and entropy method, we investigate the characteristics and trends of urban cultural amenities development and comparatively analyze the strengths and weaknesses in the cultural infrastructure of these cities. The findings reveal the fo…
Linderane, a furanosesquiterpene from Lindera aggregata, targets STAT3 to improve metabolic and inflammatory features of MASLD
HSYA attenuates Inflammation - Necroptosis to ameliorate secondary brain injury after intracerebral hemorrhage
Play or foul play
Protecting the brain from stroke
Harnessing generative neural networks to fuse traditional Tujia Baishou dance with contemporary choreography
The objective of this study was to explore the potential of using the generative neural network Dance2Dance to integrate elements of the traditional Tujia Baishou dance with modern choreography, specifically examining the impact of such technologies on the creative and improvisational skills of dance students. The findings indicate that the use of dance sequences generated by the Dance2Dance neural network increased the originality of dance perfo…
Navigating coopetition
The convergence of emerging technologies like cloud computing, artificial intelligence (AI), and 5G is catalysing the Fourth Industrial Revolution and driving a paradigm shift toward the rapidly growing digital platform economy. However, the complex coopetition dynamics among AI‐powered and data‐driven digital platforms challenge traditional resource‐based theories in explaining this phenomenon. This multiple case study investigates the coopetiti…
A model of knowledge chain integration for complex product R&D projects based on DSM and TCPN
Complex product research and development projects usually are large scale with high cost and complex technologies and with large number of group members involved. From the perspective of complex system management, this paper adopts design structure matrix and timing constraint Petri nets (TCPN) to analyse knowledge behaviour and time constraints of team members in complex product R&D projects. In specific, this paper first develops a knowledge‐ac…
Phytolith analysis reveals plant tempering in bronze-casting moulds from Bronze Age China (1250 -221 BC) as a technological choice
Generating Gridded Gross Domestic Product Data for China Using Geographically Weighted Ensemble Learning
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches for gridded GDP estimation seldom consider the geographical properties of input variables. Therefore, in this study, a geographically weighted stacking ensemble learning approach was developed to ge…
Psychiatric traits and intracerebral hemorrhage
Our study revealed that mood swings are suggestively causal of ICH and increase the risk of ICH. These results suggest the clinical significance of controlling mood swings for ICH prevention
How the digital economy drives energy efficiency in China
The digital economy has become important in the world’s major economies. Improving energy efficiency is the key to achieving stable and sustainable economic growth and carbon emissions reduction. However, the impact of the digital economy on energy efficiency remains unclear. Accordingly, this study examines the relationship between the digital economy and energy efficiency from the Environmental Kuznets Curve (EKC) perspective. In doing so, this…
New insights into the subsistence strategies of the northwest frontier of the Western Zhou Dynasty (1046-771 BCE) through pottery lipid analysis
Artificial intelligence empowerment
Artificial intelligence (AI) has become an important driving force leading the new round of scientific and technological revolution and industrial transformation worldwide. AI empowers green radical innovation (GRI), a vital strategic orientation for high‐tech enterprises. To explore the relationship between research and development (R&D) investment and GRI and identify the contingency factors that affect the relationship, this paper proposes a f…
Knowledge chain integration of design structure matrix‐based project team
Based on the project team's knowledge activities in the knowledge chain, we analyse the knowledge management, develop a design structure matrix (DSM) model, and utilize the AIDER clustering to solve the cooperation problems caused by team members from different departments. By analysing the coupling relationship between team members' knowledge chains and clustering the knowledge activities with a high coupling degree, the project team's knowledge…
Sustainable digital economy and trade adjusted carbon emissions
The importance of the digital economy and trade adjusted emissions is of great importance to study, especially in case of China. Since China is the leading exporter of the world and achieving high economic growth consecutively for the last 2-3 decades, this study, unlike past studies, evaluates the importance of digital economy, exports, imports and gross domestic product on trade adjusted carbon emissions for China. This is the only study that i…
On the sustainable trade development
The role of financial inclusion along with environment related technological innovation has been ignored by previous studies, especially, in terms of trade‐adjusted carbon emissions. Unlike previous studies, this study aims to test the role of financial inclusion and eco‐innovation on trade‐adjusted carbon emissions or consumption‐based carbon emissions for a group of seven economies over the period 2004–2019. Further, this study also tests the r…
Dual Attention Model for Citation Recommendation with Analyses on Explainability of Attention Mechanisms and Qualitative Experiments
Based on an exponentially increasing number of academic articles, discovering and citing comprehensive and appropriate resources have become non-trivial tasks. Conventional citation recommendation methods suffer from severe information losses. For example, they do not consider the section header of the paper that the author is writing and for which they need to find a citation, the relatedness between the words in the local context (the text span…
The nexus between digital economy and carbon dioxide emissions in China
Three Decades of Social Transformation in Russia
To review and evaluate the transformation of Russia at the historical juncture of the 30th anniversary of the Soviet collapse is an essential task. Compared with political and economic transformation, social transformation is more complex, slower, and more uncertain. This paper seeks to examine Russia’s social transformation from a totalitarian to a civil society from the perspective of the state-society relationship. Viewed from Western theories…
Public relations and legitimacy
In 2013, Germany, a world leading industrialized nation published its Industry 4.0 strategic plan. The term Industry 4.0 has been referred to the Fourth Industrial Revolution. In this paper, in the era of Industry 4.0, we studied the importance of three types of legitimacy related to the different stages of new ventures. A framework was designed using the concept of guanxi to better understand its relationship to the corporate life cycle. In this…
The benefits of collective action
Preparation and Application of Carboxylated Graphene Oxide Sponge in Dye Removal
Spongy graphene is a newly developed adsorbent of high performance for water treatment. Proper functionalization is an efficient approach to improve the adsorption capacity of graphene adsorbents. In this study, we prepared graphene oxide (GO), functionalized it with carboxyl groups to produce carboxylated GO (GO-COOH) dispersion, and lyophilized the GO-COOH dispersion to obtain the GO-COOH sponge. The adsorption isotherm, kinetics, thermodynamic…
The nexus between digital economy and carbon dioxide emissions in China
New insights into the subsistence strategies of the northwest frontier of the Western Zhou Dynasty (1046-771 BCE) through pottery lipid analysis
On the sustainable trade development
The role of financial inclusion along with environment related technological innovation has been ignored by previous studies, especially, in terms of trade‐adjusted carbon emissions. Unlike previous studies, this study aims to test the role of financial inclusion and eco‐innovation on trade‐adjusted carbon emissions or consumption‐based carbon emissions for a group of seven economies over the period 2004–2019. Further, this study also tests the r…
Navigating coopetition
The convergence of emerging technologies like cloud computing, artificial intelligence (AI), and 5G is catalysing the Fourth Industrial Revolution and driving a paradigm shift toward the rapidly growing digital platform economy. However, the complex coopetition dynamics among AI‐powered and data‐driven digital platforms challenge traditional resource‐based theories in explaining this phenomenon. This multiple case study investigates the coopetiti…
A model of knowledge chain integration for complex product R&D projects based on DSM and TCPN
Complex product research and development projects usually are large scale with high cost and complex technologies and with large number of group members involved. From the perspective of complex system management, this paper adopts design structure matrix and timing constraint Petri nets (TCPN) to analyse knowledge behaviour and time constraints of team members in complex product R&D projects. In specific, this paper first develops a knowledge‐ac…
The benefits of collective action
Preparation and Application of Carboxylated Graphene Oxide Sponge in Dye Removal
Spongy graphene is a newly developed adsorbent of high performance for water treatment. Proper functionalization is an efficient approach to improve the adsorption capacity of graphene adsorbents. In this study, we prepared graphene oxide (GO), functionalized it with carboxyl groups to produce carboxylated GO (GO-COOH) dispersion, and lyophilized the GO-COOH dispersion to obtain the GO-COOH sponge. The adsorption isotherm, kinetics, thermodynamic…
The benefits of collective action
Public relations and legitimacy
In 2013, Germany, a world leading industrialized nation published its Industry 4.0 strategic plan. The term Industry 4.0 has been referred to the Fourth Industrial Revolution. In this paper, in the era of Industry 4.0, we studied the importance of three types of legitimacy related to the different stages of new ventures. A framework was designed using the concept of guanxi to better understand its relationship to the corporate life cycle. In this…
Three Decades of Social Transformation in Russia
To review and evaluate the transformation of Russia at the historical juncture of the 30th anniversary of the Soviet collapse is an essential task. Compared with political and economic transformation, social transformation is more complex, slower, and more uncertain. This paper seeks to examine Russia’s social transformation from a totalitarian to a civil society from the perspective of the state-society relationship. Viewed from Western theories…
Artificial intelligence empowerment
Artificial intelligence (AI) has become an important driving force leading the new round of scientific and technological revolution and industrial transformation worldwide. AI empowers green radical innovation (GRI), a vital strategic orientation for high‐tech enterprises. To explore the relationship between research and development (R&D) investment and GRI and identify the contingency factors that affect the relationship, this paper proposes a f…
Knowledge chain integration of design structure matrix‐based project team
Based on the project team's knowledge activities in the knowledge chain, we analyse the knowledge management, develop a design structure matrix (DSM) model, and utilize the AIDER clustering to solve the cooperation problems caused by team members from different departments. By analysing the coupling relationship between team members' knowledge chains and clustering the knowledge activities with a high coupling degree, the project team's knowledge…
Sustainable digital economy and trade adjusted carbon emissions
The importance of the digital economy and trade adjusted emissions is of great importance to study, especially in case of China. Since China is the leading exporter of the world and achieving high economic growth consecutively for the last 2-3 decades, this study, unlike past studies, evaluates the importance of digital economy, exports, imports and gross domestic product on trade adjusted carbon emissions for China. This is the only study that i…
On the sustainable trade development
The role of financial inclusion along with environment related technological innovation has been ignored by previous studies, especially, in terms of trade‐adjusted carbon emissions. Unlike previous studies, this study aims to test the role of financial inclusion and eco‐innovation on trade‐adjusted carbon emissions or consumption‐based carbon emissions for a group of seven economies over the period 2004–2019. Further, this study also tests the r…
Dual Attention Model for Citation Recommendation with Analyses on Explainability of Attention Mechanisms and Qualitative Experiments
Based on an exponentially increasing number of academic articles, discovering and citing comprehensive and appropriate resources have become non-trivial tasks. Conventional citation recommendation methods suffer from severe information losses. For example, they do not consider the section header of the paper that the author is writing and for which they need to find a citation, the relatedness between the words in the local context (the text span…
The nexus between digital economy and carbon dioxide emissions in China
Generating Gridded Gross Domestic Product Data for China Using Geographically Weighted Ensemble Learning
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches for gridded GDP estimation seldom consider the geographical properties of input variables. Therefore, in this study, a geographically weighted stacking ensemble learning approach was developed to ge…
Psychiatric traits and intracerebral hemorrhage
Our study revealed that mood swings are suggestively causal of ICH and increase the risk of ICH. These results suggest the clinical significance of controlling mood swings for ICH prevention
How the digital economy drives energy efficiency in China
The digital economy has become important in the world’s major economies. Improving energy efficiency is the key to achieving stable and sustainable economic growth and carbon emissions reduction. However, the impact of the digital economy on energy efficiency remains unclear. Accordingly, this study examines the relationship between the digital economy and energy efficiency from the Environmental Kuznets Curve (EKC) perspective. In doing so, this…
New insights into the subsistence strategies of the northwest frontier of the Western Zhou Dynasty (1046-771 BCE) through pottery lipid analysis
Play or foul play
Protecting the brain from stroke
Harnessing generative neural networks to fuse traditional Tujia Baishou dance with contemporary choreography
The objective of this study was to explore the potential of using the generative neural network Dance2Dance to integrate elements of the traditional Tujia Baishou dance with modern choreography, specifically examining the impact of such technologies on the creative and improvisational skills of dance students. The findings indicate that the use of dance sequences generated by the Dance2Dance neural network increased the originality of dance perfo…
Navigating coopetition
The convergence of emerging technologies like cloud computing, artificial intelligence (AI), and 5G is catalysing the Fourth Industrial Revolution and driving a paradigm shift toward the rapidly growing digital platform economy. However, the complex coopetition dynamics among AI‐powered and data‐driven digital platforms challenge traditional resource‐based theories in explaining this phenomenon. This multiple case study investigates the coopetiti…
A model of knowledge chain integration for complex product R&D projects based on DSM and TCPN
Complex product research and development projects usually are large scale with high cost and complex technologies and with large number of group members involved. From the perspective of complex system management, this paper adopts design structure matrix and timing constraint Petri nets (TCPN) to analyse knowledge behaviour and time constraints of team members in complex product R&D projects. In specific, this paper first develops a knowledge‐ac…
Phytolith analysis reveals plant tempering in bronze-casting moulds from Bronze Age China (1250 -221 BC) as a technological choice
Measuring and comparing the development of cultural amenities in the Yangtze River basin
This paper proposes an evaluation index system designed to empirically measure the developmental status of cultural amenities in various cities along the Yangtze River in China. Using the analytic hierarchy process and entropy method, we investigate the characteristics and trends of urban cultural amenities development and comparatively analyze the strengths and weaknesses in the cultural infrastructure of these cities. The findings reveal the fo…
Linderane, a furanosesquiterpene from Lindera aggregata, targets STAT3 to improve metabolic and inflammatory features of MASLD
HSYA attenuates Inflammation - Necroptosis to ameliorate secondary brain injury after intracerebral hemorrhage
Economics (10 works) · China (8 works) · Computer Science (8 works) · Engineering (6 works) · Geography (6 works) · Business (5 works) · Artificial Intelligence (4 works) · Energy, Environment, Economic Growth (4 works) · Political science (4 works) · Archaeology (3 works)