Kun Sun
Datos Biográficos
| ID | 3724932 |
|---|---|
| NOMBRE | Kun Sun |
| NOMBRES | Kun |
| APELLIDO | Sun |
| FIRMA | SUN K |
| AFILIACIONES | University of Southern Denmark |
| ORCID | 0000-0001-9766-269X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 26 |
| TOTAL DE CITAS | 9 |
| TOTAL COMO AUTOR | 26 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2016 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 2 |
The ebb and flow of discourse connectives
The ‘culturomics’ and other big data approaches have been widely used to trace the development of human cognition and social change. In this cross-lingual study, we examine historical changes in the frequency of discourse connectives (DCs) in Chinese, English, French, German and Spanish over the last two centuries. Our analyses reveal a robust and long-term decline in the frequency of most DCs in English, French, German and Spanish between 1800 a…
Social media engagement in waste sorting
Waste sorting is crucial in reducing greenhouse gas emissions and minimizing resource waste. Social media platforms, with their global reach and real-time communication, serve as effective tools for disseminating waste sorting information (WSI). However, the impact of sentiment on the dissemination of WSI has not been thoroughly explored. This study, grounded in information ecology theory and the elaboration likelihood model, proposes a dual-path…
Therapeutic effects of forest bathing on older adult patients with essential hypertension
Introduction Forest bathing (Shinrin-Yoku) has gained growing attention in medical and therapeutic tourism research due to its potential benefits in managing chronic diseases, such as hypertension. This empirical study examined the therapeutic effects of forest bathing on older adult patients with essential hypertension. Methods A total of 36 participants were randomly assigned to either a forest environment (experimental group, n = 24) or an urb…
Environmental exposure to per- and polyfluoroalkyl substances and childhood congenital heart disease
Background: Per- and polyfluoroalkyl substances (PFAS) exposure is associated with various health risks. However, limited research has explored their potential connection with congenital heart disease (CHD). Objective: This study aimed to investigate the relationship between different types of PFAS and childhood CHD using a mixed analysis approach. Methods: A hospital-based case-control study was conducted involving 282 children with CHD and 282 …
Attention-aware semantic relevance predicting Chinese sentence reading
In recent years, several influential computational models and metrics have been proposed to predict how humans comprehend and process sentence. One particularly promising approach is contextual semantic similarity. Inspired by the attention algorithm in Transformer and human memory mechanisms, this study proposes an "attention-aware" approach for computing contextual semantic relevance. This new approach takes into account the different contribut…
Air temperature and particulate matter 2.5 are key environmental drivers of negative air ion dynamics
Negative air ions (NAIs) are widely studied for their role in evaluating the therapeutic effects of forests on human health and mitigating air pollution through mechanisms such as neutralizing airborne particulate matter and reducing reactive gaseous pollutants via oxidative pathways. This study examined NAI temporal dynamics and key environmental drivers in forests. On-site monitoring (June 2021-May 2023) included NAIs, air temperature, relative…
Modeling interior component stocks of UK housing using exterior features and machine learning techniques
Building stock modeling is a vital tool for assessing material inventories in buildings, playing a critical role in promoting a circular economy, facilitating waste management, and supporting socio‐economic analyses. However, a major challenge in building stock modeling lies in achieving accurate component‐level assessments, as current approaches primarily rely on archetype‐based statistical data, which often lack precision. Addressing this chall…
Environmental communication strategies in green consumption
Navigating sentiment dynamics in social media
Computational Sentence‐Level Metrics of Reading Speed and Its Ramifications for Sentence Comprehension
The majority of research in computational psycholinguistics on sentence processing has focused on word‐by‐word incremental processing within sentences, rather than holistic sentence‐level representations. This study introduces two novel computational approaches for quantifying sentence‐level processing: sentence surprisal and sentence relevance. Using multilingual large language models (LLMs), we compute sentence surprisal through three methods, …
Mining Multiplatform Opinions During Public Health Crisis
Emerging infectious diseases pose a growing threat to human society and have sparked extensive public discussions on social media. Although numerous efforts have been made in health data mining on social media, there is a lack of focus on quantitative comparisons across multiple platforms, despite their crucial role in the holistic social communication system. This study addresses this gap by developing a generalized regression model that conside…
An interpretable measure of semantic similarity for predicting eye movements in reading
Predictions about upcoming content play an important role during language comprehension and processing. Semantic similarity as a metric has been used to predict how words are processed in context in language comprehension and processing tasks. This study proposes a novel, dynamic approach for computing contextual semantic similarity, evaluates the extent to which the semantic similarity measures computed using this approach can predict fixation d…
Do stakeholders have the same concerns about anti-food waste law in China? Using big data from social media
Why don't more people engage in green practices in China? A policy-oriented approach to promoting green transformation in five consumption areas
The impact factors of social media users' forwarding behavior of Covid-19 vaccine topic
Introduction: Social media, an essential source of public access to information regarding the COVID-19 vaccines, has a significant effect on the transmission of information regarding the COVID-19 vaccines and helps the public gain correct insights into the effectiveness and safety of the COVID-19 vaccines. The forwarding behavior of social media users on posts concerned with COVID-19 vaccine topics can rapidly disseminate vaccine information in a…
Validity and Psychometric Evaluation of the Chinese Version of the 5-Item WHO Well-Being Index
Aims: This article evaluates the psychometric properties of the Chinese version of the 5-item WHO Well-Being Index (WHO-5) in mainland China. Methods: Two cross-sectional studies with 1,414 participants from a university in China were conducted. The Chinese version of the WHO-5 was assessed to determine its internal consistency, concurrent validity, factorial validity, and construct validity. Results: = 511), respectively. The findings also demon…
The Evolutionary Pattern of Language in English Fiction Over the Last Two Centuries
Fiction has come to play an essential part in human culture and life in recent centuries. Because of its importance, the language or discourse of fiction has been widely studied. Discerning the evolutionary pattern of language in fiction is greatly helpful in understanding the changes in human culture and society. However, most previous studies on literary language that made use of quantitative or computational methods restricted themselves to a …
Exploring the Chinese Public’s Perception of Omicron Variants on Social Media
The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2 is constantly mutating, which leads to the production of many infectious and lethal strains. For instance, the omicron variant detected in November 2021 became the leading strain of infection in many countries around the world and sparked an intense public debate on social media. The aim of this study is to explore the Chinese public's perception …
Association between maternal exposure to indoor air pollution and offspring congenital heart disease
Maternal exposure to indoor VOCs and PMs may increase the risk of giving birth to foetuses with CHD
The evolutionary pattern of language in scientific writings
Scientific writings, as one essential part of human culture, have evolved over centuries into their current form. Knowing how scientific writings evolved is particularly helpful in understanding how trends in scientific culture developed. It also allows us to better understand how scientific culture was interwoven with human culture generally. The availability of massive digitized texts and the progress in computational technologies today provide…
Hyphenation as a compounding technique in English
Hyphenated compounds have largely been neglected in the studies of compounding, which have seldom analysed compounds in context. In this study, we argue that the hyphen use in compounds is strongly motivated. Hyphenation is used when words form a unit, which reduces the possibility of parsing them into separate units or other forms. The current study adopts a new perspective on contextual factors, namely, which part of speech (PoS) the compound a…
Bodo Winter, Sensory linguistics
Hundred-year spatial trajectory of lake coverage changes in response to human activities over Wuhan
Environmental changes induced by ongoing anthropogenic activities have caused severe lake degradation. Because of the lack of long-term records, few studies have investigated the change in Wuhan lakes, and the effect of human activities on regional lake changes prior to 1973 has not been systematically studied yet. Therefore, in this study, historical maps and Landsat images were combined to track these changes from the 1920s to 2015. Three phase…
Frequency distributions of punctuation marks in English
The analysis of punctuation in philology is mainly carried out with a view to better understand the meaning of the literature concerned. Punctuation is generally believed to play the role of ‘assisting the written language in indicating those elements of speech that cannot be conveniently set down on paper: chiefly the pause, pitch and stress in speech’ (Markwardt, 1942: 156). Most of us often ignore the importance of punctuation in writing syste…
A computational model for measuring discourse complexity
In past studies, the few quantitative approaches to discourse structure were mostly confined to the presentation of the frequency of discourse relations. However, quantitative approaches should take into account both hierarchical and relational layers in the discourse structure. This study considers these factors and addresses the issue of how discourse relations and discourse units are related. It draws upon the available corpora of discourse st…
Toward a National Birth Cohort Study in China
AffiliationsJun Zhang, Ying Tian, Weiye Wang, Hong Huang, and Xiaoming Shen are with the Ministry of Education, Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Kun Sun is with the Xinhua Hospital
Frequency distributions of punctuation marks in English
The analysis of punctuation in philology is mainly carried out with a view to better understand the meaning of the literature concerned. Punctuation is generally believed to play the role of ‘assisting the written language in indicating those elements of speech that cannot be conveniently set down on paper: chiefly the pause, pitch and stress in speech’ (Markwardt, 1942: 156). Most of us often ignore the importance of punctuation in writing syste…
A computational model for measuring discourse complexity
In past studies, the few quantitative approaches to discourse structure were mostly confined to the presentation of the frequency of discourse relations. However, quantitative approaches should take into account both hierarchical and relational layers in the discourse structure. This study considers these factors and addresses the issue of how discourse relations and discourse units are related. It draws upon the available corpora of discourse st…
Bodo Winter, Sensory linguistics
Hundred-year spatial trajectory of lake coverage changes in response to human activities over Wuhan
Environmental changes induced by ongoing anthropogenic activities have caused severe lake degradation. Because of the lack of long-term records, few studies have investigated the change in Wuhan lakes, and the effect of human activities on regional lake changes prior to 1973 has not been systematically studied yet. Therefore, in this study, historical maps and Landsat images were combined to track these changes from the 1920s to 2015. Three phase…
The evolutionary pattern of language in scientific writings
Scientific writings, as one essential part of human culture, have evolved over centuries into their current form. Knowing how scientific writings evolved is particularly helpful in understanding how trends in scientific culture developed. It also allows us to better understand how scientific culture was interwoven with human culture generally. The availability of massive digitized texts and the progress in computational technologies today provide…
Hyphenation as a compounding technique in English
Hyphenated compounds have largely been neglected in the studies of compounding, which have seldom analysed compounds in context. In this study, we argue that the hyphen use in compounds is strongly motivated. Hyphenation is used when words form a unit, which reduces the possibility of parsing them into separate units or other forms. The current study adopts a new perspective on contextual factors, namely, which part of speech (PoS) the compound a…
The impact factors of social media users' forwarding behavior of Covid-19 vaccine topic
Introduction: Social media, an essential source of public access to information regarding the COVID-19 vaccines, has a significant effect on the transmission of information regarding the COVID-19 vaccines and helps the public gain correct insights into the effectiveness and safety of the COVID-19 vaccines. The forwarding behavior of social media users on posts concerned with COVID-19 vaccine topics can rapidly disseminate vaccine information in a…
Validity and Psychometric Evaluation of the Chinese Version of the 5-Item WHO Well-Being Index
Aims: This article evaluates the psychometric properties of the Chinese version of the 5-item WHO Well-Being Index (WHO-5) in mainland China. Methods: Two cross-sectional studies with 1,414 participants from a university in China were conducted. The Chinese version of the WHO-5 was assessed to determine its internal consistency, concurrent validity, factorial validity, and construct validity. Results: = 511), respectively. The findings also demon…
The Evolutionary Pattern of Language in English Fiction Over the Last Two Centuries
Fiction has come to play an essential part in human culture and life in recent centuries. Because of its importance, the language or discourse of fiction has been widely studied. Discerning the evolutionary pattern of language in fiction is greatly helpful in understanding the changes in human culture and society. However, most previous studies on literary language that made use of quantitative or computational methods restricted themselves to a …
Exploring the Chinese Public’s Perception of Omicron Variants on Social Media
The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2 is constantly mutating, which leads to the production of many infectious and lethal strains. For instance, the omicron variant detected in November 2021 became the leading strain of infection in many countries around the world and sparked an intense public debate on social media. The aim of this study is to explore the Chinese public's perception …
Association between maternal exposure to indoor air pollution and offspring congenital heart disease
Maternal exposure to indoor VOCs and PMs may increase the risk of giving birth to foetuses with CHD
An interpretable measure of semantic similarity for predicting eye movements in reading
Predictions about upcoming content play an important role during language comprehension and processing. Semantic similarity as a metric has been used to predict how words are processed in context in language comprehension and processing tasks. This study proposes a novel, dynamic approach for computing contextual semantic similarity, evaluates the extent to which the semantic similarity measures computed using this approach can predict fixation d…
Do stakeholders have the same concerns about anti-food waste law in China? Using big data from social media
Why don't more people engage in green practices in China? A policy-oriented approach to promoting green transformation in five consumption areas
Mining Multiplatform Opinions During Public Health Crisis
Emerging infectious diseases pose a growing threat to human society and have sparked extensive public discussions on social media. Although numerous efforts have been made in health data mining on social media, there is a lack of focus on quantitative comparisons across multiple platforms, despite their crucial role in the holistic social communication system. This study addresses this gap by developing a generalized regression model that conside…
Social media engagement in waste sorting
Waste sorting is crucial in reducing greenhouse gas emissions and minimizing resource waste. Social media platforms, with their global reach and real-time communication, serve as effective tools for disseminating waste sorting information (WSI). However, the impact of sentiment on the dissemination of WSI has not been thoroughly explored. This study, grounded in information ecology theory and the elaboration likelihood model, proposes a dual-path…
Therapeutic effects of forest bathing on older adult patients with essential hypertension
Introduction Forest bathing (Shinrin-Yoku) has gained growing attention in medical and therapeutic tourism research due to its potential benefits in managing chronic diseases, such as hypertension. This empirical study examined the therapeutic effects of forest bathing on older adult patients with essential hypertension. Methods A total of 36 participants were randomly assigned to either a forest environment (experimental group, n = 24) or an urb…
Environmental exposure to per- and polyfluoroalkyl substances and childhood congenital heart disease
Background: Per- and polyfluoroalkyl substances (PFAS) exposure is associated with various health risks. However, limited research has explored their potential connection with congenital heart disease (CHD). Objective: This study aimed to investigate the relationship between different types of PFAS and childhood CHD using a mixed analysis approach. Methods: A hospital-based case-control study was conducted involving 282 children with CHD and 282 …
Attention-aware semantic relevance predicting Chinese sentence reading
In recent years, several influential computational models and metrics have been proposed to predict how humans comprehend and process sentence. One particularly promising approach is contextual semantic similarity. Inspired by the attention algorithm in Transformer and human memory mechanisms, this study proposes an "attention-aware" approach for computing contextual semantic relevance. This new approach takes into account the different contribut…
Air temperature and particulate matter 2.5 are key environmental drivers of negative air ion dynamics
Negative air ions (NAIs) are widely studied for their role in evaluating the therapeutic effects of forests on human health and mitigating air pollution through mechanisms such as neutralizing airborne particulate matter and reducing reactive gaseous pollutants via oxidative pathways. This study examined NAI temporal dynamics and key environmental drivers in forests. On-site monitoring (June 2021-May 2023) included NAIs, air temperature, relative…
Modeling interior component stocks of UK housing using exterior features and machine learning techniques
Building stock modeling is a vital tool for assessing material inventories in buildings, playing a critical role in promoting a circular economy, facilitating waste management, and supporting socio‐economic analyses. However, a major challenge in building stock modeling lies in achieving accurate component‐level assessments, as current approaches primarily rely on archetype‐based statistical data, which often lack precision. Addressing this chall…
Environmental communication strategies in green consumption
Navigating sentiment dynamics in social media
Computational Sentence‐Level Metrics of Reading Speed and Its Ramifications for Sentence Comprehension
The majority of research in computational psycholinguistics on sentence processing has focused on word‐by‐word incremental processing within sentences, rather than holistic sentence‐level representations. This study introduces two novel computational approaches for quantifying sentence‐level processing: sentence surprisal and sentence relevance. Using multilingual large language models (LLMs), we compute sentence surprisal through three methods, …
Computer Science (13 obras) · Linguistics (8 obras) · Psychology (7 obras) · China (6 obras) · Language and cultural evolution (6 obras) · Medicine (6 obras) · Social media (6 obras) · Artificial Intelligence (5 obras) · Biology (5 obras) · Cognition (5 obras)