Effect Of Cohesion Research Articles

Effects of cohesion and viscosity on lava dome growth following repose

Lava domes result from effusive eruption of high viscosity lava. These viscous lava extrusions range in shape from flat-topped domes with small height-to-width aspect ratios, to spine-like columns exhibiting large height-to-width aspect ratios. A primary control on morphology during early dome growth is thought to be the variation in rheological characteristics of extruded material. In this work, we present new scaled analogue models of lava dome growth that consider extrusion of a frictional plastic upper-conduit plug followed by viscous magma. We simulate the brittle plug using a sand-plaster mixture, the cohesion of which is varied by plaster content. We model the magma using sugar syrup, the viscosity of which is controlled by the weight percent of added crystalline sugar. The models both qualitatively and quantitatively reproduce part of the spectrum of natural dome morphology not previously obtained in most past analogue modelling studies. Model aspect ratios of 0.02 to 0.9 capture approximately 90 % of the reported aspect ratio variation in nature. Increasing plug cohesion results in extrusions with higher aspect ratios and spinier morphologies. Low viscosity fluid typically erupts through the brittle dome, whilst high viscosity fluid tends to promote endogenous growth or emerge as exogenous lobes. Particle Image Velocimetry shows that fracture localisation at the dome surface is cohesion-dependent, and eruption of fluid follows shear fractures within the dome. Where fluid remains contained within the dome, we see lateral spread leading to a wider and flatter dome morphology. Evolution of lava dome morphology, deformation, and associated hazards is guided by the complex rheological properties of the extruded material; we suggest that during episodic dome growth, these properties are largely defined in the conduit prior to their eruption.

Neighborhood social cohesion and physical disorder in relation to social isolation in older adults: racial and ethnic differences

BackgroundNeighborhood factors of social isolation have been understudied, hindering efforts to reduce social isolation at the neighborhood level. This study aims to investigate the longitudinal effects of neighborhood social cohesion and physical disorder on social isolation in community-dwelling older adults, as well as to examine whether race/ethnicity moderates the neighborhood-isolation relationship.MethodsWe used 11-year data from the National Health and Aging Trend Study, a longitudinal national study of Medicare beneficiaries aged 65 and older. Social isolation was measured through a summary score across four domains: marital/partner status, family and friend contact, religious attendance, and club participation. A series of weighted mixed-effects logistic regression models were performed to test the study aims. Sample sizes ranged from 7,303 to 7,291 across individual domains of social isolation.ResultsApproximately 20% of participants reported social isolation. Findings indicated a negative association between neighborhood social cohesion and social isolation. Higher levels of neighborhood social cohesion were longitudinally associated with lower odds of social isolation (odds ratio [OR] = 0.52, 95% CI: 0.47–0.58). Yet, the presence of neighborhood physical disorder was associated with an increased risk of overall social isolation ([OR] = 1.2, 95% CI: 1.00, 1.44). Race/ethnicity significantly moderated the effects of neighborhood social cohesion and physical disorder on social isolation. The odds of no in-person visits associated with neighborhood social cohesion are smaller among Black adults compared to White adults. Black adults had constantly lower odds of isolation from religious attendance compared to White adults regardless of the level of neighborhood social cohesion. Hispanic adults had decreased odds of having no friends associated with signs of physical disorder, while no associations were found among older White adults. White adults had higher odds of isolation from in-person visits when living in neighborhoods with signs of physical disorder, whereas no association was observed among older Black and Hispanic adults.ConclusionsThis study elucidates the role of neighborhood characteristics in shaping social isolation dynamics among older adults. Furthermore, the observed moderation effects of race/ethnicity suggest the need for culturally sensitive interventions tailored to address social isolation within specific neighborhood and racial contexts.

Income inequality and comorbid overweight/obesity and depression among a large sample of Canadian secondary school students: The mediator effect of social cohesion

BackgroundComorbid overweight/obesity (OWO) and depression is emerging as a public health problem among adolescents. Income inequality is a structural determinant of health that independently increases the risk for both OWO and depression among youth. However, no study has examined the association between income inequality and comorbid OWO and depression or tested potential mechanisms involved. We aimed to identify the association between income inequality and comorbid OWO and depression and to test whether social cohesion mediates this relationship. MethodsWe used data from the 2018–2019 Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking and Sedentary behavior (COMPASS) project. Our sample was composed of 46,171 adolescents from 136 schools distributed in 43 census divisions in 4 provinces in Canada (Ontario, Alberta, British Columbia, and Quebec). Gender-stratified multilevel path analyses models were used to examine whether income inequality (Gini coefficient) was associated with comorbid OWO and depression and whether the association was mediated by school connectedness, a proxy measure for social cohesion. ResultsThe direct effect between income inequality and OWO-depression comorbidity was not significant. However, income inequality was significantly associated with increased risk of comorbidity via social cohesion. One standard deviation increase in the Gini coefficient was associated with a 9% and 8% increase in the odds of comorbidity in females (OR=1.09; 95% CI=1.03, 1.16) and males (OR=1.08; 95% CI=1.03, 1.13). ConclusionPolicies aimed at reducing income inequality, and interventions to improve social cohesion, may contribute to reducing the risk of OWO-depression comorbidity among adolescents.

How can the Social Family Climate Contribute to Emotional Intelligence in Preventing Suicidal Ideation and Promoting Life Satisfaction Among Adolescents?

AbstractWhile findings have documented the association between emotional intelligence, life satisfaction, and suicidal ideation among adolescents, few studies have investigated the moderating effect of family climate on the association. This study examined the moderating effect of family cohesion, expressiveness, and conflict on the relationships between emotional intelligence, life satisfaction, and suicidal ideation among Spanish adolescents. A total of 2,722 adolescents aged 12 to 18 (Mage = 14.11, SD = 1.42, 52.8% girls) formed the sample. The interaction effects were significant, with family conflict mitigating the effects of emotional intelligence on life satisfaction, and family cohesion and expressiveness strengthening the effects of emotional intelligence on suicidal ideation. These findings provide additional evidence for the protective role of family cohesion and expressiveness in adolescent suicidal ideation, and the harmful role of family conflict in adolescent wellbeing. The results imply that enhancing family cohesion and expressiveness and reducing family conflict may be a promising way to boost the link between emotional intelligence and life satisfaction and to prevent suicidal ideation among adolescents.

Effects of initial packing density and cohesion on submerged granular collapse

Effects of initial packing density and cohesion on submerged granular collapse

Association between cognitive insight and anxiety among community-dwelling schizophrenia patients: the chain mediating effects of family cohesion and chronotype.

To investigate the effect of cognitive insight on anxiety in community-dwelling schizophrenia patients and to construct a chain mediating model to determine the underlying mechanisms of the relationship between cognitive insight and anxiety through family cohesion and chronotype. The Beck Cognitive Insight Scale, the Chinese version of the Family Adaptability and Cohesion Scale, the Morningness-Eveningness Scale, and the Generalized Anxiety Disorder Scale were used to assess cognitive insight, family cohesion, chronotype, and anxiety in a sample of 785 individuals with schizophrenia living in the community. Spearman correlation analysis, multiple linear regression and Bootstrap methods were employed to analyze the four variables. Residential region, current employment status, and family economic status impacted anxiety among community-dwelling schizophrenia patients. All variables were associated with each other, but self-certainty was not significantly associated with anxiety. Cognitive insight and self-reflection had direct effects on anxiety, as well as indirect effects on anxiety through the partial mediating effect of chronotype, the suppressing effect of family cohesion, and the chain mediating effect of family cohesion and chronotype. Family cohesion and chronotype can mediate the relationship between cognitive insight and anxiety. Improving family functioning, promoting emotional relationships within families, and correcting non-circadian sleep patterns can reduce anxiety in community-dwelling schizophrenia patients, with important implications for improving adverse mental health outcomes.

Perceived childhood family cohesiveness prior to deployment prospectively moderates risk for war-zone psychopathology in theater among deployed U.S. soldiers.

Several studies have demonstrated robust protective effects of childhood family support and cohesiveness on adult stress-related psychopathology. However, there is little evidence regarding the prospective relationship between the perceived childhood family environment and the in-theater emergence of war-zone stress-related psychological symptoms. The present report is from data collected from the Texas Combat PTSD Risk Project, which aims to identify risk and resilience factors at predeployment that predict the subsequent impact of war-zone stressors in terms of psychological symptom emergence in U.S. soldiers deployed to Iraq. Soldiers (N = 150) completed a battery of standardized interview and self-report assessments at predeployment, including a measure of perceived childhood family cohesion. Once deployed, soldiers completed monthly web-based self-report assessments of war-zone stressors, posttraumatic stress symptoms, depression, and anxiety. Consistent with predictions, greater perceived childhood family cohesiveness prior to deployment robustly mitigated subsequent in-theater symptoms. However, contrary to predictions, childhood family cohesiveness did not reliably moderate the linkage between war-zone stressors and in-theater symptoms. Consistent with a wealth of other evidence demonstrating protective stress resilience effects of childhood family cohesion that extend across the lifespan, the present findings suggest they also extend to the war-zone environment among deployed soldiers. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Exploring the group heterogeneity in the impact of social cohesion on the walking frequency of older adults in China.

Walkable neighborhoods are closely related to an increase in walking frequency and the strengthening of social cohesion. These factors, in turn, contribute to lower BMI and other positive health-related outcomes. However, with a rapid increase in aging populations in China and the fact that women are facing more challenges than men as they age, especially mobility challenges because they tend to live longer leading to probabilities to become widowed. Nevertheless, less attention has been paid to understanding the gender difference between these relationships. Based on a survey of 533 older adults in Dalian, China, this study tried to investigate the intertwined relationship between perceived walkability, social cohesion, walking frequency, and BMI. A Structural Equation Model (SEM) and multiple-group analysis were applied to test the proposed framework. First, results show that gender differences existed among the above interrelationships, and the most substantial gender gap was found in effects of social cohesion on BMI. Second, perceived walkability only has a direct effect (0.149) on walking frequencies for female seniors. Third, although the relationships between perceived walkability and BMI are not directly related in both male and female models, the indirect connection (-0.053) is substituted for female seniors. Besides, the inhibiting effect of walking on BMI, which is -0.511, is also valid for female seniors. Finally, in terms of the role of social cohesion, both the positive impacts of perceived walkability on it (0.225 for males and 0.325 for females) and its promoting effects on walking have been confirmed in male (0.142) and female models (0.103). The negative direct effect of social cohesion on BMI (-0.083) is only confirmed in male seniors. Insights derived from this analysis can help bring forward gender-specific interventions to build a more inclusive walkable and social environment to improve the mobility and physical health of older adults.

Social cohesion as a modifier of joint air pollution exposure and incident dementia

Social cohesion can reduce stress, increase social interaction, and improve cognitive reserve. These social mechanisms may modify the effects of air pollution on dementia risk. This cohort study examines the potential moderating effect of social cohesion on associations between joint air pollution exposure and incident dementia leveraging data from 5112 community-dwelling adults ≥65 years of age enrolled in the National Health and Aging Trends Study (NHATS). Study participants were enrolled in 2011 and followed through 2018. We assigned 2010 residential census tract-level exposures to five air pollutants, particulate matter (PM) ≤ 10 μm in diameter, PM ≤ 2.5 μm in diameter, carbon monoxide, nitric oxide, and nitrogen dioxide, using the US Environmental Protection Agency's Community Multiscale Air Quality Modeling System. Dementia status was determined based on self- or proxy-reported dementia diagnosis or “probable dementia” according to NHATS cognitive screening tools. Participants' self-rated neighborhood social cohesion was evaluated based on three questions: neighbors knowing each other, being helpful, and being trustworthy. Social cohesion was dichotomized at the median into high vs low social cohesion. Associations between air pollutants and incident dementia were assessed using quantile g-computation Cox proportional hazard models and stratified by high vs low social cohesion, adjusting for age, sex, education, partner status, urbanicity, annual income, race and ethnicity, years lived at current residence, neighborhood disadvantage index, and tract segregation. High social cohesion (HR = 1.20, 95 % CI = 0.98, 1.47) and air pollution (HR = 1.08, 95 % CI = 0.92, 1.28) were not associated with incident dementia alone. However, when stratified, greater joint air pollution exposure increased dementia risk among participants at low (HR = 1.34, 95 % CI = 1.04, 1.72), but not high (HR = 1.00, 95 % CI = 0.93, 1.06) social cohesion. Air pollution was a risk factor for dementia only when reported social cohesion was low, suggesting that social interaction may play a protective role, mitigating dementia risk via air pollution exposure.

Investigating the use of network analysis metrics to benchmark Industrial Symbiosis development

Circular economy (CE) aims to reduce natural resource consumption, waste generation, and related detrimental environmental, social, and economic impacts by keeping valuable materials circulating in the economy. Industrial Symbiosis (IS) contributes to CE through byproduct-exchange partnerships between firms, reducing raw material use, emissions, and waste generation, while promoting the economic growth of partner firms. However, most IS projects fail in the early stages and do not reap the full sustainability benefits of IS. A significant reason for the failure of early-stage IS projects is the lack of knowledge regarding the strategic organization of IS networks. Quantifying IS network organization and operational characteristics and benchmarking IS development can address this challenge, and enable knowledge transfer regarding IS network organization from mature IS networks to guide the advancement of new IS projects. This investigation tests multiple Ecological Network Analysis (ENA) and Social Network Analysis (SNA) metrics using three real-world IS case studies, as potential IS benchmarking tools. The results of the investigation show that ENA and SNA metrics can be used to compare IS networks and identify differences in the following characteristics: Partnership prevalence, producer–consumer relationships, linkage distribution, resource utilization, effect of indirect firm relationships, network cohesion, and network centralization. The values of the multiple network analysis metrics are found to be aligned with the development time of the IS networks and the qualitative markers of IS development stages as identified in the literature. For example, the analysis of producer–consumer relationships indicated that more than 50% of the consumer firms in the early stage IS networks had only one supplier partnership compared to less than 30% of the firms in the most mature IS network. Similarly, the analysis of network cohesion showed that the early-stage IS networks had (on average) five different isolated groups of firms compared to one cohesive group of firms in the more mature IS networks. This investigation demonstrates that network analysis of IS projects only requires anonymized and non-proprietary data, and identifies data-collection and modeling standards needed to develop an IS benchmarking framework using network analysis. The promising results of this investigation motivate future work into these standardization needs and the development of IS benchmarks using network analysis.

Self-growing biomimetic functional hydrogel particles for conformance control in tight reservoir fracture network

Hydraulic fracturing is gradually becoming a common approach for enhancing the oil production from tight reservoirs. Blocking agents such as soft particle systems are necessary as a means of conformance control to mitigate the side effect of reservoir heterogeneity due to hydraulic fracturing. In this work, a novel technique based on the mussel biomimetic concept is proposed to generate self-growing biomimetic functional hydrogel particles (SG-BFHPs). The fracture conformance control capacity of the products is evaluated, and the results show that multi-scale (0.5–3.0 mm) SG-BFHPs can cohere and grow at the reservoir condition, and the median agglomerated particle size can increase by 20–25 times. High flow resistance (Frr = 10.7–11.8), facilitated by the higher adhesion between the biomimetic particles and the pore walls, can be established by SG-BFHPs while maintaining a good injectivity. In the single-fracture model, the increased oil recovery by SG-BFHPs is about 12.2 %, and in the matrix-fracture model can be increased from 9.2 %–13.5 % to 25.8 %–28.8 %. AFM experiments show that SG-BFHPs have stronger adhesion between particles or rock surface than conventional hydrogel particles. After conformance control of SG-BFHPs, the particles are distributed in an irregular structure in the fractures and adsorbed on the fracture wall under the effect of inter-particle cohesion and adhesion, which can realize fracture channel adjustment by the particle self-growing. The SG-BFHPs studied in this paper provide valuable insights for the development of dispersed particle gel, which is of great significance in improving oil recovery in tight reservoirs.

Effect of Microscopic Properties on Flow Behavior of Industrial Cohesive Powder

The characteristics of powders on a bulk scale are heavily influenced by both the material properties and the size of their primary particles. Throughout the stages of storage and transportation in the powder processing industry, various forms of deformation and stress, such as pressure and shear, impact these materials. Recognizing the point at which a powder undergoes yielding becomes particularly significant in numerous applications. There are also times when the level of stress needed to maintain it must be understood. The measurement of powder yield and flow properties remains a challenge and is addressed in this study. As part of the European collaborative project, a number of shear experiments were performed using two shearing devices: the Schulze ring shearing device and the Anton Paar Powder Cell (APCC). These experiments have three purposes: (i) test reproducibility/consistency between two shear devices and test protocols; (ii) relate bulk behavior to microscopic particle properties, focusing on bulk density and thus the effect of cohesion between particles; and (iii) investigate the influence of the temperature of heated powders on the powder’s flow properties, which is important for industrial reactors. Interestingly, for samples with small particle sizes, bulk cohesion increases slightly, but bulk friction increases significantly because of particle interaction effects. The experimental data not only provide useful insight into the role of microscopically attractive van der Waals gravitational and/or compressive forces on the macroscopic flow behavior of bulk powders but also have industrial relevance. We also provide robust data of cohesive and attritional fine powder for silo design used for calibration and validation of silos, models, and computer simulations.

The effects of two types of neighborhood factors on trajectory of internalizing and externalizing symptoms from early childhood to adolescence.

Although a robust body of previous empirical studies investigated the long-term trend of child behavior problems, limited research discussed the influences of various types of neighborhood factors on such trajectory (e.g., neighborhood structural characteristics and collective efficacy). Using a nationally representative longitudinal dataset the Fragile Families and Child Wellbeing Study (FFCWS), with six waves from 1998 to 2017, this study captures the longitudinal effects of two types of early childhood neighborhood factors on the co-development of internalizing and externalizing symptoms. Data was collected at the focal child's age 3, age 5, age 9, age 15 (N = 2,385), and the parallel-process growth curve models were applied. Results suggest that the trajectories of both internalization and externalizing symptoms showed U-shape and bidirectional relationships among internalizing and externalizing problems. The long-term effects of neighborhood social cohesion and economic disadvantages were significantly associated with children's internalizing and externalizing symptoms. The implication of this study was further discussed.

Team Cohesion and Student Athlete Well-Being in A Normal University in Jiangxi Province

This study aims to gain a deeper understanding of the relationship between team cohesion and WELL-BEING among college athletes. This study adopts a quantitative research design, with a sample of 627 college athletes from a regular university in Jiangxi Province, China. A survey was conducted on the basic information of student respondents in terms of gender, age, grade, and years of experience, as well as their self-evaluation of athlete well-being, including physical health, mental health, emotions, balance, socialization, achievement, recovery and rest, and support systems. The relationship between team cohesion and self-evaluation of well-being was studied by analyzing the differences in personal characteristics and self-evaluation of well-being. This study also evaluated the positive effects of team cohesion, coach behavior, and athlete well-being on physical, psychological, emotional, and social health, and recommended promoting open and transparent communication within the team, strengthening leadership, establishing conflict resolution mechanisms, cultivating common values and goals, focusing on mental health, balancing lifestyles, and promoting internal respect and team spirit through team building and support networks to increase athlete well-being and team cohesion.

Urban green space access, social cohesion, and mental health outcomes before and during Covid-19

Physical activity offers significant mental health and social wellbeing benefits but social distancing and quarantine requirements during the pandemic along with disparities in access to parks and other urban green spaces limited the ability of some to pursue outdoor activities like recreational walking, jogging, or hiking. This paper asks: (1) how access to different types of urban green space varies by race and income, (2) how green space usage changed, and (3) how greenspace usage impacted mental health during the early phase of the pandemic. Using data from a household survey as well as anonymized GPS data generated by mobile devices, we explore these question in Richmond, Virginia. At the pandemic's onset, visits to green spaces declined regionally, but increased for low-income groups as a proportion of all visits. Structural equation modeling results suggest that mental health was directly influenced by social cohesion and race, with evidence of an indirect effect of greenspace usage on mental health through its impact on social cohesion. Social cohesion's effect on mental health was positive while respondents who identified as White were less likely to report positive mental health. We also find a strong, positive effect of greenspace use and satisfaction on social cohesion.

Requirement engineering and project performance: mediating effect of communication effectiveness, change readiness, stakeholder engagement and moderating effect of team cohesion

Requirement engineering and project performance: mediating effect of communication effectiveness, change readiness, stakeholder engagement and moderating effect of team cohesion

Water Intrusion: An Analysis of Water Sources, Categories, and the Degradation Science of Building Materials

Water intrusion into a building envelope describes the unwanted movement of water or vapor into a building, where it causes damage. Various factors dictate water intrusion category determination and classification. These factors include, but are not limited to, the type and degree of water intrusion, the source and route of the contamination, and exposure time, as well as geographical environmental conditions. This comprehensive research paper looked at the literature and the science to explore the bases for indoor environmental professional (IEP) classification and category determination, but also the science behind the effects of water intrusion on building materials (BM). The efficacy of building materials once degradation has occurred and any accelerating effects impacting the efficiency of building materials and their loss of integrity were closely examined in terms of material microstructural and compositional changes. The damaging effects of moisture and heat on building materials are called hygrothermal damage, which compromises the properties and use of materials. Both aspects of building integrity, i.e., water intrusion and structural deterioration, should be of concern when mitigating and remediating the intrusion of moisture. Previous research on the clarification of water categories for water intrusions is lacking. Past approaches to water classification have lacked universal scientific clarity and understanding. In addition to a need to understand the effects that water category might have on building materials and their corresponding degree of degradation, more science and reviews are needed. The need for proper class and category determination for the remediation of water intrusion within buildings is the first step toward achieving correct mitigation to ensure human health and safety. The possible adverse health effects of water intrusion need focus and cohesion for the determination of categories. We know that the final determination of water categories differs according to the degree of contamination over time and the degree of a given class of water intrusion; however, what role do the route and initial water contamination play in the determination of the category? The following paper aims to provide not only a review of the science but also an elaboration of the category determination process and the degradation effects on building materials which should be considered, as well as possible avenues of scientific research.

Investigation of the effect of group cohesion, group atmosphere, transactive memory system, and social interaction space on online cooperative learning attitude

Investigation of the effect of group cohesion, group atmosphere, transactive memory system, and social interaction space on online cooperative learning attitude

Dual network configurations and invention renewals within the pharmaceutical industry

PurposeAlthough research on how the downstream calculations of a patent’s profit potential influence invention renewal decisions is extensive, the impact of the upstream knowledge creation stages is overlooked. The purpose of this study is to address this theoretical vacuum by examining the intra-organizational configuration of knowledge networks and collaboration networks.Design/methodology/approachThe data consist of 491 global pharmaceutical firms that patent in the USA. Drawing on patent records, the authors simultaneously construct intra-organizational knowledge networks and collaboration networks and identify network cohesion features (i.e. local and global). The authors employ panel fixed-effects models to test the hypotheses.FindingsThe results show that local knowledge cohesion and local social cohesion decrease invention renewals, while global knowledge cohesion and global social cohesion increase renewals. Moreover, the marginal effects of local and global social cohesion are stronger than those of local and global knowledge cohesion, respectively.Research limitations/implicationsThe hypotheses are tested using the pharmaceutical industry as a research setting, which limits the generalizability of our findings. In addition, potential formal and informal contingencies are not considered.Practical implicationsDespite its limitations, this study provides valuable implications. First, managers are cautioned against the adverse effects of local cohesion structures on invention renewal. Second, firms can dynamically adjust their local and global network configuration strategies to harmonize the generation of valuable inventions and the retention of good ideas.Originality/valueComplementary to previous research that focused on inventions’ performance feedback, this study delves into upstream knowledge creation stages to understand invention renewals.

Analysis of the mechanical effects and influencing factors of cut-fill interface within loess subgrade

Cut-fill interfaces within the loess subgrade tend to form potential failure surfaces, controlling the mechanical properties of cut-fill engineering. Focusing on the cut-fill interface, extensive laboratory tests in this research show the performance of interfacial mechanical properties under various test conditions, revealing interface effects and exploring the impact of different factors on these effects. The results indicate that the interface strengthens the friction angle of soil but weakens cohesion, especially impacting the cohesion, thereby reducing the shear strength of soil. The increase in dry density diminishes the enhancement effect on friction angle caused by the interface while amplifying the degradation effect on cohesion. Elevated water content has a weak influence on the enhancement effect of friction angle but diminishes the degradation effect of cohesion. Load doesn't change the impact of dry density on the interface effect but amplifies the impact of water content. The impact of various factors on interfacial shear strength manifests as follows: load > average dry density > water content. The interaction among these factors demonstrates average dry density + load > water content + load > average dry density + water content. The study indicates that the construction of loess subgrades based on the standard of maximum dry density and optimum water content may not align with the conditions required for achieving optimal stability at the cut-fill interface. These research findings reveal the crucial role of various factors in comprehensive impact of interfacial effect, offering essential support for ensuring the stability of cut-fill interfaces.