Le Sun
Biographic Data
| ID | 6314818 |
|---|---|
| NAME | Le Sun |
| FAMILY NAME | Le Sun |
| SIGNATURE | LE SUN |
| AFFILIATIONS | Nanjing University of Information Science and Technology |
| ORCID | 0000-0002-4221-0327 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Panax quinquefolius saponins promote remyelination via orchestrating HMGCS1-NPC1-MAL-mediated lipid metabolism and rebalancing JAK-STAT signaling in a cuprizone-induced demyelination model
Agricultural Insurance as a Catalyst for Climate Resilience and Sustainable Grain Production: Evidence From Chinese Farm Households
Fostering the coordinated development between grain yield growth and rural household agricultural income growth is of critical importance to boosting farmers' motivation for grain production and upholding national food security. Based on survey data from 910 grain planting households in Shandong Province, China, this article empirically analyzes the impact of agricultural insurance on the coordinated development of increased grain production and …
How green finance drives urban land green use efficiency: Evidence and lessons from China
CDHFL-Ha: Collaborative Dynamic Hierarchical Federated Learning With Hypernetwork Aggregation for Sentimental Analysis
In recent years, more and more scholars have begun to focus on sentiment analysis on social media. Current sentiment analysis collects all relevant data, including public thoughts, opinions, and feelings, from a variety of open sources. In addition, it automatically predicts different aspects of outcomes or trends based on information collected globally in real time. This research area explores how to extract sentiment information from different …
Influence of External Information on Large Language Models Mirrors Social Cognitive Patterns
Social cognitive theory explains how people learn and acquire knowledge through observing others. Recent years have witnessed the rapid development of large language models (LLMs), which suggests their potential significance as agents in the society. LLMs, as AI agents, can observe external information, which shapes their cognition and behaviors. However, the extent to which external information influences LLMs’ cognition and behaviors remains un…
A family perspective for the mechanism of parent-child conflict on maternal anxiety in Chinese children with autism
In the case of children with autism spectrum disorders, parent-child conflict can directly affect maternal anxiety levels, especially when mothers have low levels of parenting stress. Parent-child conflict can also affect children's problem behaviors and thus indirectly affect maternal anxiety. Therefore, this study is of great significance for the alleviation of anxiety of mothers of autistic children and the family intervention for the early re…
The effect of vine tea (Ampelopsis grossedentata) extract on fatigue alleviation via improving muscle mass
Sustainable performance measurement through digital transformation within the sustainable development framework: The mediating effect of supply chain concentration
This study establishes a conceptual framework, “digital transformation – supply chain concentration – sustainable performance”, to address the existing knowledge gap and elucidate the nuanced connections between digital transformation, supply chain concentration, and sustainable performance. Indeed, the existing body of literature does not offer detailed analyses of the pathways and effects concerning the interplay among the three dimensions with…
Work-related use of information and communication technologies after-hours (W_ICTs) and employee innovation behavior: A dual-path model
Purpose The current study aims to identify work-related use of information and communication technologies after-hours (W_ICTs) from passive and active perspectives and examine mechanisms and different effects of information and communication technologies on employee innovation behavior. Design/methodology/approach Experience sampling method (ESM) was employed to capture dynamic within-person variance in daily-behaviors and daily-mood. In total, 9…
The Trajectory of Anthropomorphism and Pro-Environmental Behavior: A Serial Mediation Model
Anthropomorphism of nature can promote pro-environmental behavior (PEB). However, its underlying mechanism and these age-related changes are unclear. We propose that connectedness to nature and environmental guilt mediate the relationship between anthropomorphism of nature and PEB. The present study tests the hypotheses based on a cross-sectional sample of 1364 residents aged 15-76 years, using structural equation modeling. We found that: (1) env…
The dynamic role of ecological innovation and sustainable finance in improving green productivity: Evidence from China
This study investigates the influence of ecological innovations and sustainable financing in promoting the Chinese economy's green total factor productivity (GTFP) from Q1-2004 to Q4-2018. Initially, this study measures GTFP using Data Envelopment Analysis and applies Bootstrap Auto-regressive Distributed Lagged (BARDL) model for dynamic effects. The preliminary results confirm the existence of unit root and a long-term cointegrating relationship…
LPClass: Lightweight Personalized Sensor Data Classification in Computational Social Systems
The blend of topics in computational social science enhances the research complexity in developing efficient computational social systems (CSSs). Electronic health (E-health) is a critical branch of CSS. Artificial intelligence-based cognitive computing is especially appropriate for solving E-health problems in social science. The development of the Internet of Things (IoT) and sensor technologies is triggering data explosion in E-health CSS. The…
Does population and industrial agglomeration exacerbate China’s pollution
The spatial Durbin model is used to explore the effects of population and industrial agglomeration on production and consumption pollution and spatial spillover differences by using provincial panel data from 2000 to 2018 in China. It is found that industrial agglomeration exacerbates production and consumption pollution within and adjacent to regions, and moderate population agglomeration is conducive to optimizing resource allocation and promot…
Interacting with medical artificial intelligence: Integrating self-responsibility attribution, human–computer trust, and personality
Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China
This paper attempts to reveal the impact and mechanisms of digital inclusive finance (DIF) on agricultural carbon emission performance (ACEP). Specifically, based on the provincial panel data in China from 2011 to 2020, a super slacks-based measure (Super SBM) model is applied to measure ACEP. The panel regression model and spatial regression model are used to empirically analyze the impact of DIF on ACEP and its mechanism. The results show that:…
Association between 24-h urinary sodium to potassium ratio and mild cognitive impairment in community-based general population
Objective: To explore the relationship between parameters of Na and K excretion using 24-h urine sample and mild cognitive impairment (MCI) in general population. Design: This is a cross-sectional study. Setting: Community-based general population in Emin China. Participants: Totally, 1147 subjects aged ≥18 years were selected to complete the study, with a multistage proportional random sampling method. Cognitive status was assessed with Mini Men…
Distribution characteristics of circulating homocysteine and folate and related factors in agriculture, stock-raising and urban populations: A cross-sectional survey
Objective: To investigate homocysteine (Hcy) and folate levels, prevalence of hyperhomocysteinaemia (HHcy) and folate deficiency, which are affected by lifestyles in urban, agricultural and stock-raising populations. Design: This is a cross-sectional study. Setting: Urban, agricultural and stock-raising regions in Emin, China. Participants: Totally 1926 subjects – 885 (45·9 %) from urban, 861 (44·7 %) from agricultural and 180 (9·4 %) from stock-…
A New Architecture of Densely Connected Convolutional Networks for Pan-Sharpening
In this paper, we propose a new architecture of densely connected convolutional networks for pan-sharpening (DCCNP). Since the traditional convolution neural network (CNN) has difficulty handling the lack of a training sample set in the field of remote sensing image fusion, it easily leads to overfitting and the vanishing gradient problem. Therefore, we employed an effective two-dense-block architecture to solve these problems. Meanwhile, to redu…
Sustainable performance measurement through digital transformation within the sustainable development framework: The mediating effect of supply chain concentration
This study establishes a conceptual framework, “digital transformation – supply chain concentration – sustainable performance”, to address the existing knowledge gap and elucidate the nuanced connections between digital transformation, supply chain concentration, and sustainable performance. Indeed, the existing body of literature does not offer detailed analyses of the pathways and effects concerning the interplay among the three dimensions with…
A New Architecture of Densely Connected Convolutional Networks for Pan-Sharpening
In this paper, we propose a new architecture of densely connected convolutional networks for pan-sharpening (DCCNP). Since the traditional convolution neural network (CNN) has difficulty handling the lack of a training sample set in the field of remote sensing image fusion, it easily leads to overfitting and the vanishing gradient problem. Therefore, we employed an effective two-dense-block architecture to solve these problems. Meanwhile, to redu…
Association between 24-h urinary sodium to potassium ratio and mild cognitive impairment in community-based general population
Objective: To explore the relationship between parameters of Na and K excretion using 24-h urine sample and mild cognitive impairment (MCI) in general population. Design: This is a cross-sectional study. Setting: Community-based general population in Emin China. Participants: Totally, 1147 subjects aged ≥18 years were selected to complete the study, with a multistage proportional random sampling method. Cognitive status was assessed with Mini Men…
Distribution characteristics of circulating homocysteine and folate and related factors in agriculture, stock-raising and urban populations: A cross-sectional survey
Objective: To investigate homocysteine (Hcy) and folate levels, prevalence of hyperhomocysteinaemia (HHcy) and folate deficiency, which are affected by lifestyles in urban, agricultural and stock-raising populations. Design: This is a cross-sectional study. Setting: Urban, agricultural and stock-raising regions in Emin, China. Participants: Totally 1926 subjects – 885 (45·9 %) from urban, 861 (44·7 %) from agricultural and 180 (9·4 %) from stock-…
LPClass: Lightweight Personalized Sensor Data Classification in Computational Social Systems
The blend of topics in computational social science enhances the research complexity in developing efficient computational social systems (CSSs). Electronic health (E-health) is a critical branch of CSS. Artificial intelligence-based cognitive computing is especially appropriate for solving E-health problems in social science. The development of the Internet of Things (IoT) and sensor technologies is triggering data explosion in E-health CSS. The…
Does population and industrial agglomeration exacerbate China’s pollution
The spatial Durbin model is used to explore the effects of population and industrial agglomeration on production and consumption pollution and spatial spillover differences by using provincial panel data from 2000 to 2018 in China. It is found that industrial agglomeration exacerbates production and consumption pollution within and adjacent to regions, and moderate population agglomeration is conducive to optimizing resource allocation and promot…
Interacting with medical artificial intelligence: Integrating self-responsibility attribution, human–computer trust, and personality
Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China
This paper attempts to reveal the impact and mechanisms of digital inclusive finance (DIF) on agricultural carbon emission performance (ACEP). Specifically, based on the provincial panel data in China from 2011 to 2020, a super slacks-based measure (Super SBM) model is applied to measure ACEP. The panel regression model and spatial regression model are used to empirically analyze the impact of DIF on ACEP and its mechanism. The results show that:…
Work-related use of information and communication technologies after-hours (W_ICTs) and employee innovation behavior: A dual-path model
Purpose The current study aims to identify work-related use of information and communication technologies after-hours (W_ICTs) from passive and active perspectives and examine mechanisms and different effects of information and communication technologies on employee innovation behavior. Design/methodology/approach Experience sampling method (ESM) was employed to capture dynamic within-person variance in daily-behaviors and daily-mood. In total, 9…
The Trajectory of Anthropomorphism and Pro-Environmental Behavior: A Serial Mediation Model
Anthropomorphism of nature can promote pro-environmental behavior (PEB). However, its underlying mechanism and these age-related changes are unclear. We propose that connectedness to nature and environmental guilt mediate the relationship between anthropomorphism of nature and PEB. The present study tests the hypotheses based on a cross-sectional sample of 1364 residents aged 15-76 years, using structural equation modeling. We found that: (1) env…
The dynamic role of ecological innovation and sustainable finance in improving green productivity: Evidence from China
This study investigates the influence of ecological innovations and sustainable financing in promoting the Chinese economy's green total factor productivity (GTFP) from Q1-2004 to Q4-2018. Initially, this study measures GTFP using Data Envelopment Analysis and applies Bootstrap Auto-regressive Distributed Lagged (BARDL) model for dynamic effects. The preliminary results confirm the existence of unit root and a long-term cointegrating relationship…
A family perspective for the mechanism of parent-child conflict on maternal anxiety in Chinese children with autism
In the case of children with autism spectrum disorders, parent-child conflict can directly affect maternal anxiety levels, especially when mothers have low levels of parenting stress. Parent-child conflict can also affect children's problem behaviors and thus indirectly affect maternal anxiety. Therefore, this study is of great significance for the alleviation of anxiety of mothers of autistic children and the family intervention for the early re…
The effect of vine tea (Ampelopsis grossedentata) extract on fatigue alleviation via improving muscle mass
Sustainable performance measurement through digital transformation within the sustainable development framework: The mediating effect of supply chain concentration
This study establishes a conceptual framework, “digital transformation – supply chain concentration – sustainable performance”, to address the existing knowledge gap and elucidate the nuanced connections between digital transformation, supply chain concentration, and sustainable performance. Indeed, the existing body of literature does not offer detailed analyses of the pathways and effects concerning the interplay among the three dimensions with…
CDHFL-Ha: Collaborative Dynamic Hierarchical Federated Learning With Hypernetwork Aggregation for Sentimental Analysis
In recent years, more and more scholars have begun to focus on sentiment analysis on social media. Current sentiment analysis collects all relevant data, including public thoughts, opinions, and feelings, from a variety of open sources. In addition, it automatically predicts different aspects of outcomes or trends based on information collected globally in real time. This research area explores how to extract sentiment information from different …
Influence of External Information on Large Language Models Mirrors Social Cognitive Patterns
Social cognitive theory explains how people learn and acquire knowledge through observing others. Recent years have witnessed the rapid development of large language models (LLMs), which suggests their potential significance as agents in the society. LLMs, as AI agents, can observe external information, which shapes their cognition and behaviors. However, the extent to which external information influences LLMs’ cognition and behaviors remains un…
Panax quinquefolius saponins promote remyelination via orchestrating HMGCS1-NPC1-MAL-mediated lipid metabolism and rebalancing JAK-STAT signaling in a cuprizone-induced demyelination model
Agricultural Insurance as a Catalyst for Climate Resilience and Sustainable Grain Production: Evidence From Chinese Farm Households
Fostering the coordinated development between grain yield growth and rural household agricultural income growth is of critical importance to boosting farmers' motivation for grain production and upholding national food security. Based on survey data from 910 grain planting households in Shandong Province, China, this article empirically analyzes the impact of agricultural insurance on the coordinated development of increased grain production and …
How green finance drives urban land green use efficiency: Evidence and lessons from China
Computer Science (8 works) · Business (5 works) · Psychology (5 works) · Artificial Intelligence (4 works) · China (4 works) · Economics (4 works) · Energy, Environment, Economic Growth (4 works) · Geography (4 works) · Agriculture (3 works) · Ecology (3 works)