Lei Meng
Biographic Data
| ID | 6135581 |
|---|---|
| NAME | Lei Meng |
| GIVEN NAMES | Lei |
| FAMILY NAME | Meng |
| SIGNATURE | MENG L |
| AFFILIATIONS | Gansu Provincial Center for Disease Control and Prevention |
| ORCID | 0000-0002-9384-3837 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Arousal Effect: How Influencers’ High-Arousal Language Boosts Purchase Intention for Self-Improvement Products
The accelerated growth of the self-improvement product market has precipitated various challenges. Against the backdrop of influencer marketing, this study investigated the effect of the arousal level of influencers’ language on consumers’ willingness to buy such products, from the perspective of influencers’ language characteristics. Through four online studies, we demonstrated that influencers’ high-arousal language increases consumers’ purchas…
A Study on the Effects of Land Fiscal Policy and Digital Economy on the Efficiency of Urban Land Green Use in the Context of Climate Change
Land use patterns, as a primary channel through which human activities impact the natural environment, constitute one of the key factors influencing global climate change. The study selects the super‐efficient SBM model to measure regional land green use efficiency (ULGUE) in China from 2010 to 2024. Based on this, we analyze spatial variations and evolution, ultimately verifying the influence of the digital economy and land finance on these outc…
Misinformation dissemination on social media: Key research themes and evolutionary paths between 2013 and 2023
With the rapid development of information technology, the proliferation of misinformation has become a global security challenge. Examining the dissemination and governance of misinformation on social media is both challenging and significant. In this study, we review the research progress regarding the spread of misinformation on social media, analyzing a total of 3283 relevant articles indexed in the Web of Science from 2013 to 2023. First, we …
GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction
Currently, most existing link prediction algorithms simply study the interrelationships between node pairs without considering the interaction force and the higher order relationships between node pairs. In order to find a solution to this problem, the concept of the gravitational field is introduced in this article, and then, a novel algorithmic framework is proposed from the perspective of physics. The framework is applied to the classic link p…
Immediate and long-term changes in infectious diseases in China at the “First-level-response”, “Normalized-control” and “Dynamic-Covid-zero” stages from 2020 to 2022: A multistage interrupted-time-ser…
Three COVID-19 control strategies in China have immediate and long-term limiting effects on many infectious diseases, but there are differences in their limiting effects. Evidence from this study shows that pertussis, influenza, brucellosis, and hydatid disease began to recover at stage 3, and relaxation of NPIs may lead to the resurgence of respiratory-transmitted diseases and vector-borne diseases
First Case Report of Human Plague Caused by Excavation, Skinning, and Eating of a Hibernating Marmot (Marmota himalayana)
Introduction The Qinghai-Tibet Plateau is considered the most plague-heavy region in China, and skinning and eating marmots ( Marmota himalayana ) are understood to be the main exposure factors to plague. Yersinia pestis is relatively inactive during marmots' hibernation period. However, this case report shows plague infection risk is not reduced but rather increased during the marmot hibernation period if plague exposure is not brought under con…
Decrease in soil inorganic nitrogen supply capacity under long‐term areca nut plantations in the tropics
Understanding the dynamics and availability of soil nitrogen (N) affected by the conversion of cropping patterns is critical for environmental sustainability, especially in tropical soils with low fertility and high N loss. In this study, the 15 N tracing technology combined with the 15 N tracer model was used to explore the dynamic change of soil N transformation in long‐estabished areca nut ( Areca catechu ) plantations. Areca nut plantations w…
Focus on the impact of climate change on wetland ecosystems and carbon dynamics
The renewed growth in atmospheric methane (CH4) since 2007 after a decade of stabilization has drawn much attention to its causes and future trends. Wetlands are the single largest source of atmospheric CH4. Understanding wetland ecosystems and carbon dynamics is critical to the estimation of global CH4 and carbon budgets. After approximately 7 years of CH4 related research following the renewed growth in atmospheric CH4, Environmental Research L…
Attribution of changes in global wetland methane emissions from pre-industrial to present using CLM4.5-BGC
An understanding of potential factors controlling methane emissions from natural wetlands is important to accurately project future atmospheric methane concentrations. Here, we examine the relative contributions of climatic and environmental factors, such as precipitation, temperature, atmospheric CO2 concentration, nitrogen deposition, wetland inundation extent, and land-use and land-cover change, on changes in wetland methane emissions from pre…
No prominent works on this page.
Focus on the impact of climate change on wetland ecosystems and carbon dynamics
The renewed growth in atmospheric methane (CH4) since 2007 after a decade of stabilization has drawn much attention to its causes and future trends. Wetlands are the single largest source of atmospheric CH4. Understanding wetland ecosystems and carbon dynamics is critical to the estimation of global CH4 and carbon budgets. After approximately 7 years of CH4 related research following the renewed growth in atmospheric CH4, Environmental Research L…
Attribution of changes in global wetland methane emissions from pre-industrial to present using CLM4.5-BGC
An understanding of potential factors controlling methane emissions from natural wetlands is important to accurately project future atmospheric methane concentrations. Here, we examine the relative contributions of climatic and environmental factors, such as precipitation, temperature, atmospheric CO2 concentration, nitrogen deposition, wetland inundation extent, and land-use and land-cover change, on changes in wetland methane emissions from pre…
First Case Report of Human Plague Caused by Excavation, Skinning, and Eating of a Hibernating Marmot (Marmota himalayana)
Introduction The Qinghai-Tibet Plateau is considered the most plague-heavy region in China, and skinning and eating marmots ( Marmota himalayana ) are understood to be the main exposure factors to plague. Yersinia pestis is relatively inactive during marmots' hibernation period. However, this case report shows plague infection risk is not reduced but rather increased during the marmot hibernation period if plague exposure is not brought under con…
Decrease in soil inorganic nitrogen supply capacity under long‐term areca nut plantations in the tropics
Understanding the dynamics and availability of soil nitrogen (N) affected by the conversion of cropping patterns is critical for environmental sustainability, especially in tropical soils with low fertility and high N loss. In this study, the 15 N tracing technology combined with the 15 N tracer model was used to explore the dynamic change of soil N transformation in long‐estabished areca nut ( Areca catechu ) plantations. Areca nut plantations w…
GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction
Currently, most existing link prediction algorithms simply study the interrelationships between node pairs without considering the interaction force and the higher order relationships between node pairs. In order to find a solution to this problem, the concept of the gravitational field is introduced in this article, and then, a novel algorithmic framework is proposed from the perspective of physics. The framework is applied to the classic link p…
Immediate and long-term changes in infectious diseases in China at the “First-level-response”, “Normalized-control” and “Dynamic-Covid-zero” stages from 2020 to 2022: A multistage interrupted-time-ser…
Three COVID-19 control strategies in China have immediate and long-term limiting effects on many infectious diseases, but there are differences in their limiting effects. Evidence from this study shows that pertussis, influenza, brucellosis, and hydatid disease began to recover at stage 3, and relaxation of NPIs may lead to the resurgence of respiratory-transmitted diseases and vector-borne diseases
Misinformation dissemination on social media: Key research themes and evolutionary paths between 2013 and 2023
With the rapid development of information technology, the proliferation of misinformation has become a global security challenge. Examining the dissemination and governance of misinformation on social media is both challenging and significant. In this study, we review the research progress regarding the spread of misinformation on social media, analyzing a total of 3283 relevant articles indexed in the Web of Science from 2013 to 2023. First, we …
The Arousal Effect: How Influencers’ High-Arousal Language Boosts Purchase Intention for Self-Improvement Products
The accelerated growth of the self-improvement product market has precipitated various challenges. Against the backdrop of influencer marketing, this study investigated the effect of the arousal level of influencers’ language on consumers’ willingness to buy such products, from the perspective of influencers’ language characteristics. Through four online studies, we demonstrated that influencers’ high-arousal language increases consumers’ purchas…
A Study on the Effects of Land Fiscal Policy and Digital Economy on the Efficiency of Urban Land Green Use in the Context of Climate Change
Land use patterns, as a primary channel through which human activities impact the natural environment, constitute one of the key factors influencing global climate change. The study selects the super‐efficient SBM model to measure regional land green use efficiency (ULGUE) in China from 2010 to 2024. Based on this, we analyze spatial variations and evolution, ultimately verifying the influence of the digital economy and land finance on these outc…
Biology (3 works) · Climate change (3 works) · Ecology (3 works) · Environmental Science (3 works) · Atmospheric and Environmental Gas Dynamics (2 works) · Atmospheric sciences (2 works) · Chemistry (2 works) · Geology (2 works) · Greenhouse gas (2 works) · Medicine (2 works)