Higher Emphasis Research Articles

Available land for cellulosic biofuel production: a supply chain centered comparison

Abstract The land that is potentially available to produce dedicated cellulosic bioenergy crops, often referred to as ‘marginal’ land, depends heavily on the underlying assumptions used to classify and identify it. In this study we compare three definitions and types of marginal land to identify the interactions between the bioenergy landscape and the logistics networks needed for the biofuel supply chain. Typical studies of the scale, cost, and greenhouse gas (GHG) mitigation potential of cellulosic biofuel take a land-centered approach which may neglect to account for the trade-offs between establishing bioenergy crops and the supply chain design decisions needed to allow those crops to be converted to liquid fuel. A mathematical programming approach is used to minimize the total annualized cost of a large-scale field-to-product system producing bioethanol in the USA midwest. Results show that a high concentration of marginal land leads to efficient systems and that the bioenergy landscape design becomes increasingly important with a higher emphasis on GHG mitigation. Additionally, targeted landscape design (including fertilization) with a focus on fields with high soil carbon sequestration potential can greatly reduce the system-wide GHG emissions for only a small increase in the unit cost of biofuel.

Ensemble Methods for Parameter Estimation of WRF‐Hydro

AbstractThe WRF‐Hydro hydrological model has been used in many applications in the past with some level of history matching in the majority of these studies. In this study, we use the iterative Ensemble Smoother (iES), a powerful parameter estimation methodology implemented in the open‐source PEST++ software. The iES provides an ensemble solution with an uncertainty bound instead of a single best estimate which has been the common approach in the previous WRF‐Hydro studies. We discuss the importance of accounting for observation noise which results in a wider spread in the model solution. We investigate the impact of constructing objective functions by differentially weighting the observations to tune the model response toward model outputs appropriate for a specific application. Results confirm the necessity of differentially weighting the observations before calculation of the objective function as the optimization algorithm struggles with calculating parameter updates with uniform weighting. We also show that we achieve better model performance in terms of verification metrics with higher emphasis on the high flow events, when the objective function is tuned toward an application where the extreme events are of importance. We then investigate the impact of estimating more parameters, in particular we estimate a larger number of snow parameters. Results show a large improvement in the model performance. In summary, our study demonstrates the efficacy of employing iES alongside differential weighting of observations, highlighting its potential to enhance hydrological model parameter estimation.

The Role of Venture Capital in Fintech Startup Growth: A Comparative Study of China and the U.S. Markets and Cultures

This paper examines the role of venture capital (VC) in fostering fintech startup growth, with a particular focus on the cultural and market structure differences between China and the U.S. Fintech startups are transforming traditional financial services through technological innovation. Still, their growth is influenced by the distinct regulatory landscapes, competitive pressures, and cultural contexts in each market. In China, a rapidly growing fintech sector benefits from strong government support, widespread financial inclusion, and the integration of digital platforms into daily life, leading to a dynamic yet highly competitive environment dominated by tech giants like Alibaba and Tencent. By contrast, the U.S. fintech market operates within a mature financial system with established regulatory frameworks and a higher emphasis on compliance, innovation, and long-term sustainability. This study explores how VC strategies differ between these markets, highlighting the hands-on involvement of Chinese VCs and the more strategic, long-term approach of U.S. VCs. Cultural factors, such as collectivism in China and individualism in the U.S., also shape startup strategies, VC investment approaches, and overall market outcomes. By comparing these two countries, the paper offers insights into how venture capital can be leveraged to navigate unique market challenges and promote sustainable growth in fintech startups.

The mediated amplification of societal risk and risk governance of artificial intelligence: technological risk frames on YouTube and their impact before and after ChatGPT

Over the past decade, many experts from academia, business, and civil society have warned of the risks of artificial intelligence (AI), such as large-scale job displacement, data bias against social groups, the use of AI to undermine democracy, the misuse of AI for mass surveillance and/or policing, the unregulated use of autonomous weapons, and others. However, research suggests that news media and social media representations emphasize the benefits over the risks of AI and rarely address issues of risk governance, while social media studies are still rare and largely based on Twitter/X data. This study proposes a theoretical framework of mediated risk communication based on the social amplification of risk framework (SARF), the extended parallel process model (EPPM), and framing. To understand prevalent AI-related risk frames and their role in mediated technological risk amplification/attenuation before and after the release of ChatGPT, a sample of the 501 most viewed YouTube videos about AI published between 2020 and 2023 were analyzed. Four frames with different emphases on societal threat and societal efficacy of AI were found with significant differences between risk/benefit emphases, AI evaluations, risk control/governance measures, and references to risk governance actors. Frames with higher emphasis on societal threat of AI were more likely to be viewed and commented on by YouTube users. AI-related threat frames increased significantly after the release of ChatGPT in 2022, suggesting its role as a risk-amplifying event. Implications for theory, future research, and AI risk governance are discussed.

Understanding Performance Issues in Gr/Lfp: An Exploration of Electrochemical Testing Parameters and Origins of Gassing

The majority of Li-ion batteries in use today make use of NMC cathode systems, due to their ability to meet the power and energy requirements demanded of them. For applications that don’t require high energy density and instead opt for battery systems with a higher emphasis towards cost and safety metrics, LFP is often utilized, as LFP is considered a much safer chemistry than NMC due to enhanced chemical stability, reduced toxicity, and greater abundance of raw materials for synthesis, leading to lower cost. However, implementation of LFP systems faces its own issues- at elevated temperatures, LFP suffers from reduced stability manifesting as reduced capacity retention and elevated gassing during high temperature testing1. Performance of lithium-ion cells using this chemistry, particular at higher temperatures and higher energy density applications, prevents widespread adoption of Gr/LFP due to observed performance detriments.Creating a thorough understanding of the effects of temperature and voltage is critical to solving the problems associated with implementation of Gr/LFP systems. In this presentation, studies were conducted to explore the effect of different electrochemical testing parameters on the stability of Gr/LFP systems. Testing included storage testing at 30°C, 45°C, and 60°C and at 3.4 and 3.65V. Development and optimization of electrolyte components have been successfully employed to improve performance and abate key stability issues by both increasing capacity retention and reducing gassing at higher temperatures.Previously, isotopically labeled carbonates were used in Gr/NMC811 multilayer pouches aged at elevated temperatures, and the resulting gases were analyzed by GC-MS to identify and quantify the specific solvent source(s) of each gas species2. This presentation builds on this knowledge base by investigating whether gas mechanisms observed in the NMC811 system persist in other chemistries, or if Gr/LFP system exhibits fundamentally different electrolyte decomposition mechanisms. 13C-labeled carbonate solvents, including labeled DMC, DEC, and EC, are used in conjunction with simple binary carbonate blends to understand key gassing mechanisms and identify markers for electrolyte solvent decomposition. These studies offer insights that can directly inform electrolyte-based modifications to improve the high temperature stability of Gr/LFP batteries. Logan, E.R.; Hebecker, H.; Eldesoky, A.; Luscombe, A.; Johnson, M.; Dahn, J.R.Performance and Degradation of LiFePO4/Graphite Cells: The Impact of Water Contamination and an Evaluation of Common Electrolyte Additives. Journal of the Electrochemical Society 2020. 167, 130543Guillot, S.L.; Kerber, B.; Du, P.; Zhou, L.; Garg, S.; Usrey, M.L. Isotopic Labeling of Carbonate Solvents for Mechanistic Insights into Battery Gassing and Gas Reduction By Fluorinated Organosilanes. 243rd Electrochemical Society Meeting. Boston, MA. May 29th, 2023.

An Exploration of Parents’ Preference for Young Children's Smart Textile Products

The topic of smart textiles has made substantial progress and garnered great interest. Nevertheless, studies are scarce regarding consumer attitudes and acceptability of these items. There is a lack of consumer studies specifically targeting the market for smart textiles designed for young children. This research seeks to close this disparity by investigating parents’ requirements and criteria when choosing smart fabrics intended for younger children. Surveys were administered to parents who had at least one child under the age of three. A nationwide sample was enlisted, yielding 267 valid responses. The results emphasized that safety is the most important factor for parents, regardless of their demographic characteristics. Parents who had previous exposure to smart textile items placed a higher emphasis on performance rather than pricing, in contrast to parents who did not have such exposure. The study additionally gathered and condensed product concepts and recommendations for subsequent product enhancement.

Disaster Risk Assessment and Analysis of Physical Infrastructure: A Comprehensive Review of Scientific Methods and Techniques

Physical infrastructure plays a crucial role in fostering economic development and societal well-being. However, they are susceptible to potential impacts when exposed to various hazards, which makes risk assessment and analysis essential for ensuring resilience. This paper presents a comprehensive review of the extant literature to provide an in-depth understanding of the research landscape developed to assess and analyze disaster risk to physical infrastructure. The objectives of this study are 1) to comprehend the disaster risk assessment methods and techniques from the global literature, 2) to analyze the trend and growth pattern of research on disaster risk assessment and 3) to identify the nuances in the methods for assessing disaster risk. This study employs bibliometric analysis along with a comprehensive literature review of selected papers extracted from the Scopus database. The study realized that research focusing on disaster risk assessment is scarce in developing countries at risk, especially India, Bangladesh, China, and Pakistan. Existing studies have attempted to develop conceptual as well as theoretical frameworks for risk assessment, and also employed assessment methods such as digital twins, risk indices, risk curves, and the like. Furthermore, the study realized that a higher emphasis on assessing the risk of transportation infrastructure disregards the other major physical infrastructure. The bibliometric analysis further indicates the need for a comprehensive and robust risk analysis tool for physical infrastructure with a standardized quantitative analysis model that can analyze the impacts of hazards. Deep learning coupled with GIS and remote sensing techniques can be considered a promising approach for risk assessment in future research. In conclusion, this comprehensive bibliometric analysis provides a detailed overview of the research landscape of physical infrastructure risk assessment and analysis. The insights derived from this analysis can help to identify the research gap in the disaster risk assessment globally highlighting the potential methods and techniques for the same.

Differences in Marital Satisfaction and Intention for Subsequent Childbirth by Latent Profile of Family Values among Parents with Young Children in Korea.

The focus is on family values, marital satisfaction, and the intention for subsequent childbirth. By classifying parents based on family values and examining marital satisfaction and the intention for subsequent childbirth within these groups, the study will provide insights into future childbirth trends and identify factors influencing the intention for subsequent childbirth among different groups. This study was conducted with parents of children aged 0 to 5 attending six daycare centers in Korea, using a questionnaire to gather responses regarding family values, intention for subsequent childbirth, and marital satisfaction. Descriptive statistics were employed to analyze the characteristics of the key variables, and latent profile analysis was conducted to classify latent groups based on family values. In the verification of differences, the three-step approach was used. First, the latent profile analysis revealed three groups: the 'neutral values group' with lower emphasis on gender roles compared to other group, the 'individualistic values group' with lower values on marriage and children but higher emphasis on gender roles, and the 'family-centered values group' characterized by higher levels of various sub-factors in overall family values. Second, comparing marital satisfaction and intention for subsequent childbirth among latent groups, the FCVG showed significantly higher levels than the TVG and the IVG. In their marriages, couples differed in the values they held regarding parenting, marriage, and children. Therefore, maintaining strong values in marriage and parenting and establishing a family serve as the foundation for realizing new selfhood through parenthood. Simultaneously, forming values within the new roles of being a spouse and a parent is crucial.

The role of psychological factors on improving work engagement among nurses.

Work engagement is affected by many psychological variables including emotional intelligence, psychological empowerment, and resilience that are not well-studied among nurses. This study aims to examine the impact of emotional intelligence on the work engagement of critical care nurses, and the mediating role of resilience and psychological empowerment. A descriptive cross-sectional design was adopted in this study among 150 critical care nurses at one university hospital in Saudi Arabia. Independent t-test and correlational analysis were used to assess relationships between study variables. A multi-step regression model was used to assess the mediatory effect. The results showed that a statistically significant positive association exists between each of the study variables (p < 0.01). The regression model showed that higher resilience (p < 0.001) and psychological empowerment (p < 0.001) predicted higher work engagement. The model predicted 33.3% of the changes in work engagement scores among critical care nurses. To enhance work performance and quality of care rendered at critical care units, higher emphasis should be placed on emotional intelligence and other significant psychological variables.

Text mining on sustainability reports of top 40 airlines and bibliometric analysis of airline's sustainability

This study aims to comprehensively explore sustainability practices, guidelines, and emerging trends in the airline industry through an in-depth analysis of their sustainability reviews. A thorough bibliometric analysis of airline sustainability was conducted using the Scopus Database. Additionally, employing text-mining techniques, a meticulous analysis focused on the sustainability reports of the leading 20 airlines compared to the subsequent 20, considered as followers, in the textual examination of sustainability reports. The results revealed thematic disparities between these two cohorts. The top 20 airlines prioritized significant concerns such as safety and other sustainability-related aspects like biodiversity. In contrast, follower companies placed a higher emphasis on financial considerations. This analysis illuminates the primary focuses of airlines and the spectrum of sustainability-related issues. Moreover, offering valuable insights for both researchers and industry practitioners, this study presents a repository of pertinent data related to sustainability practices in the aviation sector. Integrating text mining and bibliometric analysis emphasizes essential facets of airline sustainability, resulting in a comprehensive overview of the research landscape.

Construction Engineering and Management: Review of Research from Australia-Based Academics

Construction Engineering and Management (CEM) is a critically important discipline that provides a scientific and management-oriented perspective for building and construction projects. Owing to the contingent nature of this industry, CEM research is highly context-specific and is governed by socio-economic needs, environmental challenges, and industry-specific issues. Australia is home to several universities engaged in CEM-related research and training. In terms of the CEM research volume, Australia occupies fourth place, globally. Considering the importance of Australia-based CEM research, the aim of this study was to investigate how CEM research in Australia has developed temporally and across different institutions, how research collaborations in this area materialized, and which topics and research domains are typically being explored. Accordingly, this study conducted a systematic review of 4318 publications from 158 Australia-based CEM academics, primarily based in eight Australian universities. Based on Scientometric and critical review techniques, this study provides insights into research topics, research growth, publication volume, and collaboration in the CEM research discipline in Australia. Similar to global CEM research, Australia-based CEM research places a high emphasis on topics such as risk, sustainability, decision-making, cost, design, and BIM. However, unlike global research trends, Australia-based CEM research places a much higher emphasis on safety and stakeholder management. Australian institutions have high collaboration among themselves and with Chinese and Hong Kong-based institutions. Recommendations for research development in Australia are provided to facilitate a discussion on how Australian institutions can set the future agenda for CEM research.

Host perspectives on international fieldwork placements for U.S.-based genetic counseling students.

Genetic counseling students from the United States are often interested in international summer fieldwork placements, but little is known about the hosts' perspectives when considering such requests. We sent out surveys to 132 international genetics providers (genetics clinics and genetics programs), to identify advantages, barriers and expectations for U.S.-based genetic counseling students seeking a fieldwork placement. Twenty-seven (20.4% response rate) participants from 14 different countries shared their experiences and views. Providers placed higher emphasis on teaching and benefits to students (95.2%) rather than intrinsic benefits to their programs (90.4%). Lack of American Board of Genetic Counseling's (ABGC) reciprocal recognition (30%) and cost of training (25%), were rated as the strongest barriers to hosting U.S.-based students. Surprisingly, 'Language Barrier' (20%), although mentioned in open-ended comments, was not ranked highly as a barrier. When asked about expectations of students, active participation in student-led counseling sessions under supervision was encouraged by a majority of participants (55.6%). Where most genetic counseling literature is U.S.-centric, this study reports on insights gathered from international genetics providers. Our study encourages U.S.-based programs to consider these findings when designing exchange programs and international fieldwork placements.

The correlation between frailty index and incidence, mortality in obstructive sleep apnea: Evidence from NHANES

BackgroundThe emergence of obstructive sleep apnea (OSA) is marked by a growing trend towards younger individuals, while its developmental trajectory remains shrouded in uncertainty, accompanied by intricate prognostic implications. While frailty and sleep problems often coexist, the relationship between them remains unclear. Hence, this study aims to utilize the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2008 to analyze and explore the relationship between the level of frailty index (FI) and the risk of OSA incidence and survival outcomes. Materials and methodsSpecialized weighted complex survey design analysis software was employed for data analysis. Multivariate logistic regression models and restricted cubic splines (RCS) were utilized to assess the association between FI and OSA incidence in all participants. Additionally, a Cox proportional hazards model was established to estimate the association between FI and the hazard ratios (HRs) for all-cause mortality and cardiovascular disease (CVD) mortality. ResultsA total of 8524 participants were included in this study. Compared to the Non-frail group (FI ≤ 0.1), OSA risk increased with higher FI levels. In Model 3, adjusted for multiple covariates, the Pro-frail group (0.1<FI ≤ 0.2) [odds ratio (OR) = 1.31, 95 % confidence interval (CI): (1.10, 1.56)], Mildly frail group (0.2<FI ≤ 0.3) [OR = 1.62, 95 % CI (1.28, 2.05)], and Moderately/Severely frail group (FI > 0.3) [OR = 2.32, 95 % CI (1.55, 3.48)] exhibited an average 31 %, 62 %, and 132 % increase in OSA risk, respectively. RCS results demonstrated a nonlinear dose-response relationship between OSA risk and FI levels, with an increasing trend (P = 0.004). The Cox model indicated that, except for the Pro-frail group, OSA-related mortality risk also increased with higher FI levels, with a more pronounced effect on CVD-related mortality. ConclusionThis study supports the hypothesis that FI may be associated with an increased risk of OSA, with a higher emphasis on OSA-related mortality risk in Mildly frail and Moderately/Severely frail populations.

Campaign communication and legislative leadership

Abstract Do policy priorities that candidates emphasize during election campaigns predict their subsequent legislative activities? We study this question by assembling novel data on legislative leadership posts held by Japanese politicians and using a fine-tuned transformer-based machine learning model to classify policy areas in over 46,900 statements from 1270 candidate manifestos across five elections. We find that a higher emphasis on a policy issue increases the probability of securing a legislative post in the same area. This relationship remains consistent across multiple elections and persists even when accounting for candidates' previous legislative leadership roles. We also discover greater congruence in distributive policy areas. Our findings indicate that campaigns provide meaningful signals of policy priorities.

The impact of science teaching strategies in the Arabic-speaking countries: A multilevel analysis of TIMSS 2019 data

This paper analyses teaching strategies in relation to the science achievement of 4th-grade students using TIMSS 2019 data. It focuses on seven Arabic-speaking countries, which share similar cultures and distinct features of their societies and school systems. It applies multilevel modeling with student- and classroom-level information to decompose variance and understand relationships at these two levels. Overall, the results show the importance of analysis at the classroom level, as half of the science achievement variance is associated with differences between classrooms. Our results indicate that in the Arabic-speaking countries, emphasis on academic success and more active instruction are positively related to student achievement. On the other hand, science investigation methods such as planning and running experiments are negatively related to achievement, although the effects are small in magnitude. Moreover, the results from multilevel models with random coefficients for home resources suggest that higher emphasis on academic success increases differences in student achievement depending on their socioeconomic background.

A122 INTEROBSERVER AGREEMENT FOR THE PARIS CLASSIFICATION OF COLORECTAL POLYPS AMONGST SURGEONS, GASTROENTEROLOGISTS, TRAINEES AND EXPERTS: A VIDEO-BASED STUDY

Abstract Background Colonic polyps are described based on their macroscopic shape, according to the Paris classification. This represents a useful tool to communicate polyp morphology between endoscopists, however, the agreement between endoscopists on polyp morphology evaluation has not been demonstrated in the literature. We were interested in evaluating endoscopist agreement using the Paris classification. Aims The aim of this study was to evaluate endoscopist agreement using the Paris classification. Methods We conducted a prospective video-based study evaluating endoscopist assessment of polyp morphology. An international group of endoscopists including surgeons, gastroenterologists, experts and trainees were included. Primary outcome was overall inter-observer agreement for the Paris classification. Secondary outcomes were inter-observer agreement stratified by endoscopist characteristics. Results 11 endoscopists were included in the analysis with 1320 morphologic assessments of 120 individual polyps. There was low overall inter-observer agreement for the Paris classification with an overall Light’s Kappa of 0.19. Agreement remained low for men (Κ=0.25), women (Κ=0.25), gastroenterologists (K=0.23), surgeons (K=0.11), trainees (K=0.33), and experts (K=0.29). Endoscopists who have received training on lesion evaluation in Asia had higher inter-observer agreement when using the Paris classification compared to endoscopists in the west (K= 0.50 vs 0.26). Conclusions Agreement when using the Paris classification was low amongst a varied international group of surgeons, gastroenterologists, trainees and experts. Training in the east where higher emphasis is placed on lesion characterization was associated with the highest inter-observer agreement. Funding Agencies None

Digital Health for Myocardial Infarction: Research Topics and Trends.

We aimed to map the topics and trends of research on digital health for myocardial infarction over the past ten years. This can inform future research directions and newly emerging topics for myocardial infarction care, diagnosis and monitoring. The Web of Science database was searched for papers related to digital health for myocardial infarction. 1,344 retrieved records were used for visualisation through bibliometrics and co-occurrence network analysis of keywords. Our mapping revealed several emerging topics in recent years, including artificial intelligence and deep learning. Higher emphasis on automated and artificially intelligent digital health systems in recent years can inform future clinical practice and research directions for myocardial infarction.

Weekly external load distribution in football teams of different competitive levels.

This study aimed to compare the microcycle load distribution between teams from different competitive levels. A total of 22 microcycles from one team of each competitive level (first division, 1st DIV, n = 32 players; second division, 2nd DIV, n = 23 players; third division, 3rd DIV, n = 23 players) were monitored using GPS (10 Hz, Catapult). During the match, a higher number of high accelerations (i.e., > 3 m/s, per min) were found in the 3rd DIV team compared to the 1st and 2nd DIV teams. On match day (MD) +1&+2, the 1st DIV team covered more total (per min, p < 0.001) and high-speed running distance (HSR per min, p < 0.001 and p = 0.042, respectively) than both the 2nd and 3rd DIV teams. The 2nd DIV team showed lower values in most distance-related variables (total distance covered per min, p < 0.001; running distance per min, p < 0.001; HSR per min, p < 0.001; and sprinting distance per min, p < 0.001) for both MD-4 and MD-3 compared to the 1st and 3rd DIV teams. In contrast, it showed higher sprinting distance per min (p < 0.001) on MD-2. In general, the 3rd DIV team showed higher values in the number of high accelerations (per min, p < 0.001) across all sessions. These results suggest that distance-related variables may be a priority when planning microcycles for the 1st DIV team, while accelerations are relevant for the 3rd DIV team. A higher emphasis on external load during MD-2 by the 2nd DIV team may explain the lower external loads across the microcycle.

Does emphasis change in transportation mode choice affect workers’ actual mode choice? Implications from Japan in the COVID-19 era

Although modal shift from private motorized vehicles to public and active transport is regarded as crucially important for a sustainable society, such a shift has not been successful in Japan. One reason may be that measures have not satisfied the latent factors underlying people's transportation mode choices. Moreover, these factors may have changed during the COVID-19 pandemic. This study is aimed at ascertaining what workers have emphasized in transportation mode choice, and how those emphases have affected their actual mode choice. We also examined how changes in individuals' emphases during the pandemic have affected their actual mode choices. We used a four-time panel survey with 1377 respondents from Japan that asked participants about important items related to their transportation mode choice and activity patterns at four time points before and during the COVID-19 pandemic. After conducting a factor analysis to ascertain the latent factors behind mode choice, we applied a logistic regression model showing whether or not the respondents used each transportation mode at each time point. A conditional logistic regression model with individual fixed effect was applied to the relationship between an individual's change in emphasis and actual mode choice. Factor analysis results indicated four latent factors: usability and reliability, personal time–space, attitude toward the environment and health, and ease of use and convenience. A higher emphasis on personal time–space encouraged car use and discouraged public transport use at any time points. This trend became stronger during the pandemic. Changes in the emphasis level of this factor for an individual also affected the actual mode choice. A higher emphasis on usability and reliability also discouraged public transport use. Ease of use and convenience encouraged public transport use, and attitude toward the environment and health neither encouraged nor discouraged actual mode choice at any time point. Emphases related to transportation mode choice changed over time. However, changes in individuals' emphasis altered the actual mode choice at some time points but not at others. These results should be considered in transportation planning in order to prompt desired modal shifts by transportation users.

The Profile of Stress and Coping Related to Successful Aging Among Chinese Migrant and Nonmigrant Grandparents.

Around eight million older adults have internally migrated to take care of grandchildren in China. This study aimed to explore how Chinese migrant and nonmigrant grandparents perceived successful aging and how they coped with challenges to successful aging. Based on ecological systems theory, semistructured interviews were conducted among 21 grandparents (12 migrants, median age = 59 years old) from urban areas in China who provided noncustodial grandchild care. Deductive content analysis was employed to examine the data pertaining to the definition of successful aging, the stressors encountered, and coping strategies employed by both groups. Findings revealed that both migrant and nonmigrant grandparents placed a higher emphasis on family prosperity than their own physical health, in their definitions of successful aging. Although both groups experienced common stressors in the microsystem (e.g., intergenerational conflicts), migrant grandparents uniquely encountered stressors in the mesosystem (e.g., hardships in their close relationships) and in the macrosystem (e.g., uncertainty in aging preparation). In terms of coping, migrant grandparents exhibited a distinctive pattern of utilizing avoidant coping strategies when navigating intergenerational conflicts and planning for their later life, compared to nonmigrant grandparents. Our findings suggested that although migration was not associated with grandparents' definition of successful aging, migrant grandparents encountered specific challenges in achieving successful aging. This highlights the necessity of providing more support to grandparents through the family, community, or state, particularly to those who are migrants.