Dominant Factor Research Articles

Factors of Language Dominance Chosen by Young Self-Learning Bilinguals on X Platform

This study aims to explore the patterns of English language dominance among young self-learning bilinguals on platform X, while also uncovering the factors that affect their ability to communicate with others in English. Additionally, it examines how the use of English as the dominant language impacts these young bilingual learners. The research employs a qualitative approach, gathering data through in-depth interviews with participants and focusing on the social media accounts of bilingual youth engaged in independent learning on platform X. The collected data is analyzed through a data condensation process leading to conclusions. The findings indicate that specific languages play a significant role in fostering emotional connections and enhancing language proficiency, which in turn influences the dominant language usage among young self-learning bilinguals on X by creating meaningful connections through language. Furthermore, the study discusses how a language can develop linguistic skills through patterns of communicative interaction, which can affect each individual's language preferences and proficiencies. It highlights the positive correlation between proficiency in one language and proficiency in another, emphasizing the various interaction dynamics among factors such as language skills, personal backgrounds, language delivery, and the ability to interpret and understand communication outcomes.

Сравнительная оценка финансово-экономического положения производственных звеньев молочно-продовольственной цепочки

The article examines the financial and economic results of the interaction between the agricultural and processing links of the dairy food chain. For the assessment, a rating score was used, calculated on the basis of four indicators characterizing the efficiency of use of advanced capital, solvency and financial stability. The rating score takes values from 0 to 100. The features of the distribution of enterprises of both levels into groups in accordance with the rating scores are reflected. The risks of possible ruin of enterprises in crisis groups are noted. It is shown that the overall assessment of the financial and economic situation is better for the processing unit, but raw milk producers have higher rates of return on advanced capital and return on sales. It is concluded that the difference in the overall assessment of the financial and economic situation is not associated with the factor of price dominance.

Impact of steroid biosynthesis on the aerobic adaptation ofeukaryotes.

Steroids are indispensable components of the eukaryotic cellular membrane and the acquisition of steroid biosynthesis was a key factor that enabled the evolution of eukaryotes. The polycyclic carbon structures of steroids can be preserved in sedimentary rocks as chemical fossils for billions of years and thus provide invaluable clues to trace eukaryotic evolution from the distant past. Steroid biosynthesis consists of (1) the production of protosteroids and (2) the subsequent modifications toward "modern-type" steroids such as cholesterol and stigmasterol. While protosteroid biosynthesis requires only two genes for the cyclization of squalene, complete modification of protosteroids involves ~10 additional genes. Eukaryotes universally possess at least some of those additional genes and thus produce modern-type steroids as major final products. The geological biomarker records suggest a prolonged period of solely protosteroid production in the mid-Proterozoic before the advent of modern-type steroids in the Neoproterozoic. It has been proposed that mid-Proterozoic protosteroids were produced by hypothetical stem-group eukaryotes that presumably possessed genes only for protosteroid production, even though in modern environments protosteroid production as a final product is found exclusively in bacteria. The host identity of mid-Proterozoic steroid producers is crucial for understanding the early evolution of eukaryotes. In this perspective, we discuss how geological biomarker data and genetic data complement each other and potentially provide a more coherent scenario for the evolution of steroids and associated early eukaryotes. We further discuss the potential impacts that steroids had on the evolution of aerobic metabolism in eukaryotes, which may have been an important factor for the eventual ecological dominance of eukaryotes in many modern environments.

Social anxiety disorder: prevalence and dominant factor among adolescents in urban and rural school

In the age range of 16-18 years, commonly known as adolescence, individuals undergo a period of self-discovery in their socio-emotional development. Failures during this process can lead to individuals experiencing anxiety in social interactions, which can have a negative impact on their mental health. The Indonesia National Adolescent Mental Health Survey (I-NAMHS), findings also indicate that the most prevalent mental disorder among adolescents is anxiety disorder (a combination of social phobia and generalized anxiety disorder), is equivalent to 15.5 million. The widespread use of the internet and social media, on one hand, has led to a high dependency on smartphones among teenagers, causing them to spend more time interacting in the virtual world. Over an extended period, this condition can lead to social anxiety due to the fear of failure and lack of success. The objective of this research is to explore whether there is a difference in social anxiety among teenagers living in rural or urban areas, related to factors such as the duration of smartphone usage, school activities, and so on. The results of this research are crucial for providing feedback to high schools, especially for early detection of potential anxiety symptoms from the beginning, in order to prevent and provide appropriate treatment for social anxiety, thus not affecting students' academic achievements. It is recommended that schools conduct early detection measures.

A comprehensive study on sustainable entrepreneurship for cottage, micro, small, and medium enterprises in Bangladesh

The present study aims at identifying dominant factors for sustainable entrepreneurship for cottage, micro, small, and medium enterprises (CMSMEs) in Bangladesh. For the convenience of study EFA and CFA models were developed for analyzing, identifying, and confirming the factors harbouring sustainable CMSMEs. Four factors were considered and analyzed such as sources of funds and loans, the opportunity to sell the products, the background of entrepreneurs, and governmental support to examine the extent to which they contribute to entrepreneurial sustainability. The study reports that three factors (sources of funds and loans, the opportunity to sell the products, and governmental support) have a significant and positive effect on the sustainability of CMSMEs entrepreneurship, and these could be considered as an indicative to achieving sustainable entrepreneurship for CMSMEs in a market environment.

Repeated co-option of HMG-box genes for sex determination in brown algae and animals.

In many eukaryotes, genetic sex determination is not governed by XX/XY or ZW/ZZ systems but by a specialized region on the poorly studied U (female) or V (male) sex chromosomes. Previous studies have hinted at the existence of a dominant male-sex factor on the V chromosome in brown algae, a group of multicellular eukaryotes distantly related to animals and plants. The nature of this factor has remained elusive. Here, we demonstrate that an HMG-box gene acts as the male-determining factor in brown algae, mirroring the role HMG-box genes play in sex determination in animals. Over a billion-year evolutionary timeline, these lineages have independently co-opted the HMG box for male determination, representing a paradigm for evolution's ability to recurrently use the same genetic "toolkit" to accomplish similar tasks.

Cancer Risk Identification using Machine Learning

In this comprehensive study, we explore the SEER (Surveillance, Epidemiology, and End Result) dataset to meticulously craft a predictive model aimed at understanding patient survivability, focusing keenly on outcomes like patient survival diagnosis and treatments. Employing a good approach involving rigorous data cleaning, intricate feature extraction, and detailed correlation analysis, we identify the dominant attributes that significantly influence patient outcomes. Our methodology integrates classical machine learning models, including decision trees and random forests, with modern techniques such as neural networks. This mix of methodologies allows us to accurately predict patient survivability. Furthermore, our study delves into the intricate relationships between attributes, models, and algorithms, aiming to identify the dominant factors that influence the outcomes. Our groundbreaking findings underscore the enormous potential of integrating these dominant attributes, paving the way for the creation of exceptionally robust predictive models. These models will substantially enhance medical decision-making processes and, in turn, elevate the overall quality of patient care. Keywords - SEER dataset, patient survivability, machine learning, decision trees, random forests, neural networks, data cleaning, feature extraction, clinical data, medical decision-making.

The Impacts of Animated Transport Safety Advertising Cross Two Cultures

ABSTRACT Transport safety campaigns are valuable for public health, as they prevent traffic fatalities and collisions. Authorities and nonprofit organizations attempt to promote transport safety by advertising via social media. Understanding the factors that make online transport safety campaigns successful is also important. However, studies exploring the impact of animated videos on transportation safety are scarce. We adopted the stimuli-organism-response (S-O-R) framework to examine the impact of music and graphics on transport users’ emotional states and behaviors. We also considered how the reactions varied across cultures. The respondents were shown animated transport safety advertisements produced by Metro Trains in Melbourne, Australia. A total of 217 valid questionnaires were collected from transportation users in Taiwan and Vietnam. In contrast, we explored the spillover effects of an animated transport safety promotion campaign across cultures. The findings show that music significantly impacts people’s emotions, which, in turn, are associated with positive behavioral intentions. Self-efficacy had the greatest effect on behavioral responses. We also found that transport users in Taiwan were more influenced by graphics, whereas those in Vietnam were more affected by music in the S-O path. Fear arousal affects the behavioral intentions of Vietnamese transportation users in the O-R path. Self-efficacy is the dominant factor affecting the ability of Taiwan’s transport users to obey traffic rules. Transport safety advertising should be designed to evoke emotions, and specific stimulus elements should be adjusted according to cultural preferences.

Can access to urban networks promote urban development? Evidence from the Yangtze River Delta region of China.

The regional networking strategy is widely implemented in China as a normative policy aimed at fostering cohesion and enhancing competitiveness. However, the empirical basis for this strategy remains relatively weak due to limitations in measurement methods and data availability. This paper establishes the urban networks by the enterprise investment data, and then accurately measures the network's external effects of each city by the method of MGWR model. The results show that: (1) Regional networking plays a significant role in urban development, although it is not the dominant factor. (2) The benefits of network connections may vary depending on the location and level of cities. (3) The major cities assume a pivotal role in the urban network. Based upon the aforementioned research conclusions, this paper presents strategic measures to enhance the network's external impacts, aiming to offer insights for other regions in formulating regional development strategies and establishing regional urban networks.

Opportunities and Challenges Associated with the Uptake of Residential Clean Fuel Usage.

Almost 3 billion people worldwide use solid fuel for cooking and heating. This review examines (i) household energy practices and infrastructures and their influence on fuel usage in different contexts; (ii) barriers in adoption of household clean energy technologies and uses in diverse settings and population groups and (iii) potential air pollution exposure reduction in homes through using processed fuel. Population health burden from solid fuel combustion-derived particulate air pollution has been estimated in several low- and middle-income countries. However, such studies have not been carried out in high income countries (e.g., UK). Irrespective of the region, fuel prices are the most dominant factor influencing the choice of fuel. Laboratory studies suggest processed fuel - pellets and briquettes - reduce particulate matter emissions by 70-80% and can be a promising alternative. Adoption of clean fuels for domestic energy needs facilitates progress towards five of the UN Sustainable Development Goals (SDGs). There is evidence that a variety of factors, including cost savings, encourage and hinder such uptake. These factors include price fluctuations, expenses, and the usage of clean fuels. Due to their distinct development scenarios, more expansive policy frameworks, and political economies of energy, these determinants are localized in character and differ significantly amongst economies. Therefore, in order to create innovative plans for the adoption of clean fuel use, strategies centred on local settings must be developed while keeping broad socio-technical and socio-economic issues in mind. Solid fuel processing - pelletization and briquetting - have the potential to reach Liquefied Petroleum Gas (LPG)-like emissions, and could be a potential strategy to mitigate exposure to household air pollution.

Correlations between Urban Morphological Indicators and PM2.5 Pollution at Street-Level: Implications on Urban Spatial Optimization

During rapid urbanization, microclimate environment deterioration through events such as haze pollution and heat waves has continuously occurred in cities, which greatly affects the living environment, production activities, and health of urban residents. Therefore, it is particularly necessary to explore methods for controlling and optimizing the urban microclimate environment. In this paper, based on the mechanism of the effect of urban spatial structure at street-level on the distribution of atmospheric particulate matter, an indicator system that can be employed to comprehensively describe and quantify urban morphological structure at street-level was constructed from eight aspects: the spatial morphology of street-valleys, intensity of land use and development, geometric structure of buildings, inhomogeneity of buildings, roughness of the underlying surface, distribution of ecological landscapes, 3D architectural landscape morphology, and ventilation potential. Furthermore, using satellite remote sensing images and vector thematic maps of Shanghai, indicator factors were quantified by applying GIS technique. The intrinsic mechanism of the influence of the urban morphology on the diffusion and transport of atmospheric particulate matter was comprehensively analyzed by combining statistical methods and data mining algorithm, and eight key dominant factors were identified that can be considered to improve the urban ventilation conditions and help control urban air pollution, namely, the land use intensity, urban canopy resistance, vegetation cover, spatial congestion rate, comprehensive porosity, height-to-gross floor area ratio, building density, and average building volume ratio. As such, according to the quantitative analysis results for various combinations of the dominant factors, a spatial optimization strategy at street-level that can help improve the urban air quality was proposed in terms of identifying the pathways through which urban spatial elements affect the distribution of particulate matter, i.e., controlling the source–flow diversion–flow convergence process.

Ecological Vulnerability Assessment and Spatiotemporal Characteristics Analysis of Urban Green-Space Systems in Beijing–Tianjin–Hebei Region

The evaluation and analysis of the ecological vulnerability of urban green-space systems are conducive to the sustainable development of urban green-space systems. Taking the urban green-space system in the Beijing–Tianjin–Hebei region in 2010, 2015, and 2020 as the research object, an ESSR model was first constructed, and a total of ten types of impact factors were integrated into the four dimensions of “Exposure, Sensitivity, State and Response”. The weight of the impact factors was objectively determined via spatial principal component analysis, and the ecological vulnerability of the urban green-space system was evaluated via superposition analysis; the evaluation’s results were graded. Moreover, the transfer matrix, center-of-gravity migration model, standard deviation ellipse, and spatial autocorrelation analysis were used to study the temporal and spatial variation characteristics of the evaluation results; then, the driving force of impact factors was analyzed based on a geographical detector. Finally, the rationality of the evaluation results was verified using the changing trend of the remote sensing ecological index (RSEI). The results show that the ecological vulnerability of the urban green-space system in the Beijing–Tianjin–Hebei region has decreased year by year for the past ten years. The distribution law of “Hebei surrounds Beijing and Tianjin” is presented in this space, and 2015 is the mutation node. In 2010, the moderately and severely vulnerable areas of Hebei surrounded the mildly vulnerability areas of Beijing and Tianjin. Moreover, in 2015 and 2020, the mildly vulnerable areas of Hebei surrounded the severely vulnerable areas of Beijing and Tianjin. Vulnerability expands slightly in the east–west direction and shrinks slightly in the north–south direction, and the center of gravity shifts towards Beijing year by year along the northeast direction. Moreover, the spatial distribution of vulnerability shows significant positive spatial autocorrelations and exhibits very obvious agglomeration. In addition, vulnerability is the result of the combined effect of various factors, and education degree, human disturbance index, and annual average precipitation are the dominant factors. The analysis results provide a reference for the effective application and sustainable development of urban green-space ecological functions.

Role of Carbon Nanotube Wetting Transparency in Rapid Water Transport for a Nanopore Membrane.

A carbon nanotube (CNT) may facilitate near-frictionless water transport within it. In this work, we elucidate the slip flow characteristics for a CNT embedded in a silicon nitride matrix using the molecular dynamics (MD) method. We reveal that the wetting transparency of a CNT, the transmission of the membrane matrix wetting property over a CNT, cannot be ignored. Due to the effect of CNT wetting transparency, the orientation flip behavior of water molecules should be the primary cause of the entrance and exit losses, which is a dominant factor influencing the interfacial friction coefficient for the thin CNT membrane. The relationship between the friction coefficient and pore size follows a logarithmic function, which agrees well with the reported experimental data. Our findings bridge the gap between the MD prediction and experimental observation for water transport in a CNT membrane and provide a clear understanding of the mechanism behind its ultrafast flow performance.

Spatial-temporal Evolution and Driving Factors Analysis of Ecological Environment Quality in Daihai Basin based on AWRSEI

Watersheds are an important ecological security barrier and social and economic development area. In order to evaluate the ecological environment quality of arid and semi-arid watersheds more objectively and accurately, based on the remote sensing ecological index (RSEI), the salinity index was introduced to construct a remote sensing ecological index (AWRSEI) suitable for arid and semi-arid watersheds, and the Daihai watershed was taken as an example to analyze its applicability. Based on the AWRSEI model, four phases of Landsat TM/OLI composite images were used to quantitatively evaluate the ecological and environmental quality of the Daihai Basin from 2001 to 2020. The spatio-temporal evolution of the ecological and environmental quality of the Daihai Basin was analyzed using the coefficient of variation and spatial autocorrelation, and the cause analysis and driving factor explanation power analysis were carried out using geographic detectors. The results showed that:① the average correlation coefficient between AWRSEI and various ecological factors was 0.860, which was more representative than that of a single index component. The load positive and negative values and ranking of the first principal component were consistent with those of RSEI, the contribution rate of eigenvalues was 3.69% higher than those of RSEI, and the evaluation results were closer to the real surface conditions, which is suitable for the ecological environment quality assessment of arid watersheds. ② The annual average of the AWRSEI index in the Daihai Basin from 2001 to 2020 was 0.427, which indicated a poor ecological environment quality basis. During the study period, the average of AWRSEI showed a fluctuating trend and reached the highest value of 0.502 in 2020. The overall ecological environment quality improved significantly, the deterioration area decreased by 20.51%, and the improvement area increased by 12.71%. In terms of spatial distribution, the ecological environment quality of forest land in the southern and northwestern high-altitude areas of the Daihai Basin was good, whereas that in the northern and southern mid-altitude areas was poor, and that in the northern area was better than that in the southern area. ③ The average variation coefficient of AWRSEI in the Daihai Basin was 0.280, the ecological environment quality was stable, and the overall change fluctuation was small; the high fluctuation was mainly concentrated in the southern part of the lake and the residential area. There was a significant spatial autocorrelation in the ecological environment quality of the Daihai Basin, and the high-high agglomeration area was mainly distributed in the forest area at high altitude and the cultivated land area at low altitude. Low-low concentration areas were scattered in the middle altitude area. ④ The improvement of the ecological environment in Daihai Basin from 2001 to 2020 was mainly due to the increase in NDVI and the decrease in NDBSI and NDSI. NDVI and NDBSI were the combination with the strongest interaction and the strongest interpretation of the ecological environment. Land use was the dominant factor of AWRSEI and had the strongest explanatory power. The combination of land use and meteorological factors was the strongest interaction, and the relationship between each driving factor was enhanced.

Adaptive Distribution and Vulnerability Assessment of Endangered Maple Species on the Tibetan Plateau

Climate change has had an almost irreversible impact on the distribution patterns of tree species on the Tibetan Plateau, driving some vulnerable species to the brink of extinction. Therefore, it is important to assess the vulnerability of tree species in climate-sensitive areas under the following three IPCC-CMIP6 scenarios: SSP126, SSP370, and SSP585. The MaxEnt model was used to predict adaptive distribution for one endangered (Acer wardii W. W. Smith (A. wardii)) and six vulnerable maple plants on the Tibetan Plateau under current and future conditions. We then evaluated their vulnerability using the landscape fragmentation index. Our results showed that the current adaptive areas of vulnerable maple species were mainly distributed in the southeast of the Tibetan Plateau. The dominant factors affecting adaptive areas were temperature annual range (BIO7) for Acer sikkimense Miq. and Acer sterculiaceum Wall.; annual precipitation (BIO12) for Acer cappadocicum Gled.; precipitation of driest month (BIO14) for Acer pectinatum Wall. ex G. Nicholson, Acer taronense Hand.-Mazz., and A. wardii; and subsoil clay fraction (S_CLAY) for Acer campbellii Hook.f. & Thoms. ex Hiern (A. campbellii) Under the three future scenarios, the adaptive areas of maple on the Tibetan Plateau area shifted to the northwest, and habitat suitability increased in the northwestern part of the adaptive areas. In the SSP370 scenario, all seven species showed an increase in adaptive areas, while certain species decreased in some periods under the SSP126 and SSP585 scenarios. The status of the endangered maple species is likely to be even more fragile under the three future scenarios. A. wardii and A. campbellii are more vulnerable and may face extinction, requiring immediate attention and protection. In contrast, the vulnerability of the remaining five species decreased. In conclusion, this study provides recommendations for conserving vulnerable maple species on the Tibetan Plateau. Our data support understanding the distributional changes and vulnerability assessment of these tree species.

The Role of The Marketing Mix Factors in Hospital Selection

Background: The problems faced by Soerojo Hospital is currently decreasing the number of outpatient visits and decreasing customer satisfaction. Marketing mix analysis based on satisfaction surveys which on average are good based on hospital customer perceptions and targeted revenue targets from out-of-pocket sources of 30 percent require the right marketing mix tactics for potential customers in the comunity. This study will help Soerojo Hospital choose dominant factor of the marketing mix in hospital selection for making optimal marketing strategy. The aims of this study was to identify the role of the marketing mix factors on people's decisions in hospital selection. Materials and Methods: This study was conducted with a descriptive, quantitative approach, cross sectional research design, 385 respondents were surveyed with questionnaires and data analysis was carried out with program packages. Results: The components of the marketing mix that occupy the top three positions are the location component with a median of 4.67(1-5), the process component with a median of 4.60 (1-5) and the cost component with a median of 4.50 (1-5). There was a significant difference between the groups who choose and did not choose Soerojo mental hospital in the doctor/staff and promotion (p value <0.05). Conclusion: The location, process and cost components are the components of the marketing mix that most influence the decision to choose a hospital. Suggestions for improvements that can be made by RSJ Prof. Dr. Soerojo Magelang based on the results of this study.

Occurrence Frequency of Global Atmospheric River (AR) Events: A Data Fusion Analysis of 12 Identification Data Sets

AbstractThe atmospheric river (AR) is a long, narrow, and transient corridor of strong horizontal water vapor transport. Various AR detection methods have been proposed, which have introduced significant uncertainty to the identified AR characteristics. This study has designed a data fusion algorithm to merge 12 data sets of different global and regional AR identification algorithms published by the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) covering the period from 1980 to 2016. It aims to conduct frequency statistics to further research the global distribution, interannual variation, the trends in poleward shifting, and the impacted factors of AR occurrence. The quantitative results indicate an overall increasing trend in interannual variation, with a more pronounced growth trend observed in the oceanic region between 40 and 60ºS. Additionally, the study identifies a poleward shift in the peak latitude of AR occurrence frequency, with speeds of 0.589° and 0.769° per decade in the Northern and Southern Hemispheres, respectively. This shift may be associated with the tropical poleward expansion. Upon examining the relationship between AR frequency and sea surface temperature (SST) as well as zonal wind, the study finds that distinct dominant factors influence AR in different regions. AR events near the 30°N/S ocean are influenced more significantly by zonal wind than by SST. These findings shed light on the global characteristics of AR occurrences and provide insights into the factors governing their variability across different areas.

Knowledge, attitudes, and behaviour of college students in disposing used masks during the COVID-19 pandemic in DKI Jakarta Province.

The COVID-19 pandemic has increased the need for mask production which has caused the problem of mask waste generating in the environment without being managed. This research was conducted to determine the relationship between knowledge, attitudes, and sociodemographic factors with college student behaviours in managing household mask waste in Daerah Khusus Ibukota (DKI) Jakarta Province. This study used a quantitative approach and cross-sectional study design. Data collection was carried out using an online questionnaire consisting of the respondents' sociodemographic, knowledge, attitudes, and behaviours. The majority of students had high knowledge (63.3%), positive attitudes (52.5%), and good behaviours (50.6%). Statistically, there was a significant relationship between knowledge and behaviours (p = 0.022), but there was no significant relationship between attitudes and behaviours (p = 0.269). In addition, the sociodemographic factor variables showed a significant relationship between place of residence and behaviours (p = 0.008). However, there was no significant relationship between age, gender, education, and study program groups and behaviours (p > 0.05). Multivariate analysis showed that living with family was a dominant factor for bad behaviours (OR 1.664, 95% CI=1.124-2.464), and the second risk factor was the low level of knowledge has a significant relationship with the behaviours of mask waste management at home (OR=1.559, 95% CI=1.044-2.330). Students who live alone also show better behaviour compared to students who live with their families. The place of residence variable has the greatest influence on the behaviour of mask waste management at the household, followed by the knowledge variable.

Overall Review of the Challenges and Solutions to Human Rights in Labour

In the emerging social world, globalisation has become a dominant factor to international development. New forms of labour employment pose present day challenges to legal systems around the world. This article researches the past and present challenges on human rights in labour while seeking for solutions that contemporary organisations and authorities had utilised and being critical of its operations. In this article, through researching the functions and limitations of international organisations and its provisions, it provides a general overview of possible development pathways for future provisions. This article also explores the utilisation of such provisions and domestic challenges of human rights by formulating a judgement from contemporary case studies of the new emerging markets. By extracting regulatory clauses from multiple international and domestic provisions of human rights regulations, it may assist in investigating possible ways that the human rights provisions may be exploited by certain parties and taken advantage of.

Elucidation of the dominant factors influencing N2O emission in water-level fluctuation zones in a karst canyon reservoir, southwest China

The water-level fluctuations zones (WLFZs) are crucial transitional interfaces within river-reservoir systems, serving as hotspots for N2O emission. However, the comprehension of response patterns and mechanisms governing N2O emission under hydrological fluctuation remains limited, especially in karstic canyon reservoirs, which introduces significant uncertainty to N2O flux assessments. Soil samples were collected from the WLFZs of the Hongjiadu (HJD) Reservoir along the water flow direction from transition zone (T1 and T2) to lacustrine zone (T3, T4 and T5) at three elevations for each site. These soil columns were used to conduct simulation experiments under various water-filled pore space gradients (WFPSs) to investigate the potential N2O flux pattern and elucidate the underlying mechanism. Our results showed that nutrient distribution and N2O flux pattern differed significantly between two zones, with the highest N2O fluxes in the transition zone sites and lacustrine zone sites were found at 75 % and 95 % WFPS, respectively. Soil nutrient loss in lower elevation areas is influenced by prolonged impoundment durations. The higher N2O fluxes in the lacustrine zone can be attributed to increased nutrient levels resulting from anthropogenic activities. Furthermore, correlation analysis revealed that soil bulk density significantly impacted N2O fluxes across all sites, while NO3−and SOC facilitated N2O emissions in T1-T2 and T4-T5, respectively. It was evident that N2O production primarily contributed to nitrification in the transition zone and was constrained by the mineralization process, whereas denitrification dominated in the lacustrine zone. Notably, the annual N2O efflux from WLFZs accounted for 27 % of that from the water-air interface in HJD Reservoir, indicating a considerably lower contribution than anticipated. Nevertheless, this study highlights the significance of WLFZs as a vital potential source of N2O emission, particularly under the influence of anthropogenic activities and high WFPS gradient.