Scale Dependence Research Articles

Effect of NO2 on SO2–SO42- conversion in atmosphere: Evidence from long-term precipitation

Sulfate aerosol (SO42−) is an important factor leading to acid rain and aggravating atmospheric particulate pollution. SO42− is mainly converted from gaseous SO2, in which the oxidant gas NO2 may play a key role. In real atmosphere with complexity and nonlinearity, the impact of NO2 on SO2–SO42- conversion exhibits scale dependence due to the combined effect of meteorology, atmospheric chemistry, and pollution emission. Here, based on the long-term atmospheric precipitation data from 2014 to 2021 of Nanchong City in the Sichuan Basin, the Extended Ensemble Empirical Mode Decomposition (EEMD) and Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) methods have been employed to analyze the nonlinear correlations between gaseous SO2 and SO42− in rainwater at different time scales. A multifractal parameter Δh has been described as the scaling features of SO2–SO42- conversion efficiency in the real atmosphere. Then, the impact of NO2 on SO2–SO42- conversion in cold and warm seasons has been quantified, using sliding window analysis and Pearson correlation analysis. The results show that NO2 significantly promoted SO2–SO42- conversion in the cold season, but had little effect on it in the warm season. As direct evidence from atmospheric precipitation analysis, this finding has provided a new theoretical basis for evaluating the impact of NO2 on secondary aerosol generation.

Processes regulating local community assembly of plants and spiders in high latitude mountains

AbstractAimMountains are often used to study how environmental factors influence biodiversity. However, we have limited understanding of the processes causing biodiversity variation in mountains and whether such processes vary across trophic levels and spatial scales. The aim of this study was to evaluate (i) whether community assembly processes varied along elevational gradients, (ii) whether there were differences in such variation between primary producers (vascular plants) and secondary consumers (spiders) and (iii) whether there were scale dependencies in any elevational variation in community assembly.LocationFennoscandia, Northern Sweden.TaxonVascular plants, spiders.MethodsWe used phenotypic and phylogenetic dispersion to quantify how elevation influenced community assembly of vascular plants and spiders and whether there were any scale dependencies in such influences. Our original data of plant and spider communities came from our own field surveys, phenotypic dispersion was calculated based on matrices of ecological traits, and phylogenetic dispersion was calculated from phylogenetic trees for each organism group. Trait matrices were based on a combination of literature values and our own measurements. The phylogeny for vascular plants was based on a published plant super‐tree, whereas the phylogeny for spiders was created by ourselves based on the DNA sequences at the mitochondrial cytochrome c oxidase subunit 1 (COI).ResultsPlants were environmentally filtered throughout all elevations and scales, but the importance of convergent evolution increased with elevation. For spiders, the importance of environmental filtering as well as niche conservatism increased with elevation. For both groups, communities at smaller scales were more influenced by biotic regulation and niche conservatism than at larger scales.Main ConclusionsOur study highlights both taxonomic differences and scale dependencies in how elevation influences community assembly. We argue that these results can have broad ramifications for our understanding of how spatial variation in biodiversity is generated and maintained. This may have particular relevance for our ability to predict the ecological consequences of climate change. Our results further highlight that high elevation specialists may suffer increased risks of climate driven extinctions due to a combination of increased competition and increased fragmentation of suitable habitats. Particularly for spiders, which had high elevation specialists clustered along specific lineages, such extinctions could lead to significant loss of phylogenetic variation.

Scale‐dependent mechanical performance variations in polylactic acid lattice structures fabricated via additive manufacturing

AbstractThe objective of this research is to explore the scale effect on the mechanical properties of sheet‐based triply periodic minimal surface (TPMS) uniform lattice structures fabricated with PLA (polylactic acid) under quasi‐static loading conditions. The scale dependency was evaluated by two additional breakdown categories, namely, wall thickness effect and unit cell size effect. Deformation mechanisms and failure modes as well as mechanical properties including stiffness, yield strength, first peak stress, and energy absorption based on the categories of wall thickness, unit cell size, and scale were evaluated experimentally. The assessment of the scale effect involved considering the combined influence of wall thickness and unit cell size. In addition, numerical analysis was also performed to investigate the stress distributions and compare with the experimental results for certain geometries. Ultimately, the relation between the normalized mechanical properties and relative density is evaluated and categorized, which can be used as an indication for future design practices.

Fuzzy C-Means clustering based selective edge enhancement scheme for improved road crack detection

One of the most serious problems currently in the world is road cracking, which could lower traffic safety and raise the risk of road accidents. A substantial sum of money is spent annually on maintaining and fixing the roads. However, manual crack detection is less accurate and takes longer. The focus of this study is on how artificial intelligence can be applied to image processing to improve crack detection. This study introduces the pixel classification enhancement fuzzy C-Means clustering, a new fuzzy C-Means clustering algorithm. The road crack detection from image is achieved automatically by utilizing second order pixel differences, an exponentially varying intensity dependent edge pixel enhancement scaling factor and intensity-based edge & non-edge fuzzy factors that helps to detect the cracks even in low contrast photos. This method doesn't necessitate training with image datasets. In addition, it can recognize edges or fractures in a range of unseen images. According to standard performance parameters, the experimental results demonstrate that the novel fuzzy C-Means segmentation-based approach performs better than many of the existing methods for contaminated or non-contaminated images in identifying patholes, transverse, and longitudinal cracks from road photos, as well as alligator cracks. The proposed method can assist managers or maintenance engineers in preventing further damage and quickly identifying different types of cracks with less manual labor and expense.

High-order complex Fourier numerical manifold method for improving the optimization of cracked structures

In this paper, a combination of the high-order numerical manifold method with material interpolation is established with the goal of improving the optimization of cracked structures. Complex Fourier shape functions, known for their inherent advantages, are utilized as weight functions in the numerical manifold method. By implementing high-order analysis, the occurrence of checkerboard patterns is effectively avoided. In addition, a modified sensitivity filtering technique is introduced to address the issue of mesh dependency and minimum length scale in the final topology. This technique is based on the notion of a manifold element. Furthermore, a methodology is introduced to represent void regions within the design domain without the need for passive elements. This methodology involves describing an algorithm to accurately determine the manifold element and the corresponding element area within the final topology. Numerical problems of topology optimization are presented to examine all the aforementioned advantages. The findings indicate that the proposed algorithm for topology optimization does not exhibit any instances of checkerboard patterns. Moreover, the final topology of the curved void regions does not show any zigzag patterns. The above method demonstrates a commendable rate of convergence, and the final topology of the cracked regions can be conveniently simulated.

Psychometric validation of the Chinese Version of the stimulant relapse risk scale (SRRS) in patients with methamphetamine use disorder

BackgroundEvaluating the risk of relapse is a pivotal step in the treatment of patients with methamphetamine use disorder (MUD). The 30-item Stimulant Relapse Risk Scale (SRRS) was originally developed in Japan to meet the demand. This study examined the reliability, validity, and factor structure of the Chinese version of the SRRS for patients with MUD.Methods247 patients with MUD self-rated the Chinese version of the SRRS. Cronbach’s alpha coefficients and inter-item correlation analysis were used to assess the internal consistency reliability. Construct validity was determined through confirmatory factor analysis (CFA), and concurrent validity was examined using the visual analogue scale (VAS) for drug craving and the severity of dependence scale (SDS). We followed the participants for 1 year and assessed the predictive validity based on the correlation of the scores of the Chinese version of the SRRS with the relapse rate within 3, 6, and 12 months of follow-up.ResultsCFA revealed satisfactory model fit estimates for the 22-item Chinese version of the SRRS that consisted of four subscales. The four-factored 22-item Chinese version of the SRRS had adequate internal consistency with Cronbach’s alphas ranging from 0.76 to 0.92. The 22-item Chinese version of the SRRS scores were significantly correlated with the VAS and SDS scores as well as the relapse rate within 3, 6, and 12 months, indicating good concurrent and predictive validity of this scale. The receiver operating characteristic curve revealed a cutoff score of 40 could discriminate between participants with (SDS score ≥ 4) and without (SDS score < 4) methamphetamine dependence (area under the curve = 0.71, p < 0.01).ConclusionsThe 22-item Chinese version of the SRRS that consists of four subscales is a valid and reliable instrument to assess the relapse risk in patients with MUD.

Extreme dependence of dynamics on concentration in highly crowded polyelectrolyte solutions.

Charge-carrying species, such as polyelectrolytes, are vital to natural and synthetic processes that rely on their dynamic behavior. Through single-particle tracking techniques, the diffusivity of individual polyelectrolyte chains and overall system viscosity are determined for concentrated polylysine solutions. These studies show scaling dependences of D ~ c-6.1 and η ~ c7.2, much stronger than theoretical predictions, drawing the applicability of power law fits into question. Similar trends are observed in concentrated solutions prepared at various pH and counterion conditions. These hindered system dynamics appear universal to polyelectrolyte systems and are attributed to the large effective excluded volumes of polyelectrolyte chains inducing glassy dynamics. The framework of the Vrentas-Duda free-volume theory is used to compare polyelectrolyte and neutral systems. Supported by this theory, excluding counterion mass from total polymer mass results in all environmental conditions collapsing onto a common trendline. These results are applicable to crowded biological systems, such as intracellular environments where protein mobility is strongly inhibited.

Prevalence of Tobacco Smoking in A Sample of General Secondary School Students in Cairo and Its Correlation to Other Psychiatric Disorders

Abstract Background Tobacco smoking is considered currently as a global public health concern among youth especially school student. There is a scarcity of data about the impact of this global phenomenon in Middle Eastern countries. This study assesses the prevalence of tobacco smoking, including conventional cigarettes, E-cigarettes and waterpipe and its sociodemographic and psychiatric correlates among a sample of general secondary school students in Cairo, Egypt. Results A convenient sample of 391 Egyptian general secondary students from different areas of Greater Cairo were assessed using the Socioeconomic scale, Fagerstrom Test For Nicotine Dependence, The Lebanon Water pipe Dependence Scale, questionnaire for electronic cigarette using, Barratt impulsivity scale 11, The MINI International Neuropsychiatric Interview for Children and Adolescents. 12.8% (n = 50) were smokers. There is significant relation between family history of smoking and substance use and smoking and significant relation between smoking, impulsivity and mood symptoms. Conclusions Prevalence of tobacco smoking in Egyptian adolescents was 12.8% with significant relation between smoking and impulsivity and mood symptoms.

The cosmological collider in R 2 inflation

Starobinsky's R 2 inflation manifests a best-fit scenario for the power spectrum of primordial density fluctuations. Observables derived from the slow-roll picture of the R 2 model in the Einstein frame relies on the conformal transformation of the metric, which inevitably induces a unique exponential-type couplings of the rolling scalaron with all matter fields during inflation. The “large-field” nature of the R 2 model further invokes non-negligible time and scale dependence to the matter sector through such an exponential coupling, modifying not only the dynamics of matter perturbations on superhorizon scales but also their decay rates. In this work, we identify the simplest observable of the cosmological collider physics built in the background of R 2 inflation, focusing on the so-called “quantum primordial clock” signals created by the non-local propagation of massive scalar perturbations. Our numerical formalism based on the unique conformal coupling can have extended applications to (quasi-)single-field inflationary models with non-trivial couplings to gravity or models that originated from the f(R) modification of gravity.

Predictors of alcohol and other drug treatment completion among young people accessing residential and community-based treatment: A retrospective analysis of routinely collected service data.

Young people accessing alcohol and other drug (AOD) treatment experience high rates of treatment disengagement, contributing to poorer outcomes. To improve outcomes, it is important to identify factors associated with treatment retention. This study measured the relationships between client characteristics, treatment characteristics, clinical severity measures and completion of treatment among young people. This study was a retrospective analysis of routinely collected data set in residential- and community-based AOD services in New South Wales, Australia. Routinely collected data from the Network of Alcohol and Other Drug Agencies' (NADA) database were used. Included individuals were aged 10-24 years and accessed treatment between 2012 and 2023 (n = 17 474). Variables included client-related characteristics, service characteristics and baseline measures of clinical severity [Kessler-10 (K10), EUROHIS-QoL, severity of dependence scale (SDS)]. Multivariable binary logistic regression models assessed the relationships between these characteristics and treatment completion. Rates of treatment completion were highest among adolescents in community-based treatment (57%) and lowest among young adults in residential treatment (35%). Polysubstance use was negatively associated with treatment completion among adolescents [adjusted odds ratio (adjOR) = 0.71, P < 0.001] and adults (adjOR = 0.70, P < 0.001) in community-based treatment, and adolescents in residential treatment (adjOR = 0.62, P = 0.006), as was housing insecurity (adolescents in community treatment, adjOR = 0.61, P = 0.001; adults in community treatment, adjOR = 0.77, P = 0.002; adolescents in residential treatment, adjOR = 0.42, P = 0.005). Attending youth-specific services was associated with higher treatment completion rates among adults in community-based (adjOR = 1.81, P < 0.001) and residential treatment (adjOR = 1.72, P < 0.001). Varying correlates of treatment completion were identified throughout treatment groups, reflecting the differences in population and/or needs across contexts. In New South Wales, Australia, fewer than half of young people accessing alcohol and other drug treatment between 2012 and 2023 completed treatment, and completion rates were lower among those facing barriers such as polysubstance use and housing insecurity.

THE INTERACTION BETWEEN EXERCISE ADDICTION AND NUTRITIONAL LEVELS AMONG STUDENTS OF THE FACULTY OF HEALTH SCIENCES: A CROSS-SECTIONAL STUDY

Physical exercise is a voluntary, planned, structured, continuous activity aimed at developing and improving body and physical fitness. While nutrition constitutes one dimension of healthy lifestyle behaviors, exercise and physical activity constitute the other dimension. We aimed to examine the relationship between healthy nutrition levels and exercise addiction levels of students studying at the faculty of health sciences. Our study was performed on 133 students studying at Sakarya University of Applied Sciences, Faculty of Health Sciences. The nutrition levels of the participants were assessed with the Nutrition Exercise Behavior Scale (NEBS) and exercise dependence levels were assessed with the Exercise Dependence Scale (EDS). The mean values of age and body mass index of the subjects were 21.83±4.21 and 18.13±3.09, respectively. There were statistically significant and weak correlations between participants' healthy eating habits and exercise dependence level (r=0.386 - p

The Use of the Severity Dependence Scale (SDS) as an Outcome in Studies of Alcohol and Other Drug Use a Systematic Review

Introduction: The Severity Dependence Scale (SDS) is a validated measure of the severity of dependence on alcohol or drugs. SDS scores can be used to guide treatment planning, monitor progress, and evaluate treatment outcomes. Objectives: We aimed to review studies that analysed SDS as an outcome in studies of alcohol and drug use (AoD), with a particular focus on the methodology used to examine the changes in SDS. Methods: The search was performed using the literature databases Embase, PubMed and Medline. Articles were included when the outcome was SDS in AoD. Studies that examined SDS, but not among the AoD population, studies that reported SDS as predictors, qualitative research, study protocols, conference papers, and studies in non-English language were excluded. Results: Among 179 articles identified, 15 were included in the systematic review. Two studies conducted cannabis research, two for methamphetamine, one for cannabis and amphetamine, one for cocaine, one for ketamine, one for ecstasy and seven for general illicit drugs. Out of 15 studies, ten used the t-test for statistical analysis of the SDS, one used a generalised estimating equation, one used a Spearman non-parametric test, and one used a linear mixed model, one reported the baseline score for the SDS and did not report the SDS at follow-up, one reported a descriptive analysis of the SDS. Conclusions: In the absence of a standardised cut-off score and a minimal important difference, more attention should be paid in analysing the discrete scale of the SDS to ensure analysis accuracy.

Brain alterations in individuals with exercise dependence: A multimodal neuroimaging investigation.

Exercise dependence (ED) is characterised by behavioural and psychological symptoms that resemble those of substance use disorders. However, it remains inconclusive whether ED is accompanied by similar brain alterations as seen in substance use disorders. Therefore, we investigated brain alterations in individuals with ED and inactive control participants. In this cross-sectional neuroimaging investigation, 29 individuals with ED as assessed with the Exercise Dependence Scale (EDS) and 28 inactive control participants (max one hour exercising per week) underwent structural and functional resting-state magnetic resonance imaging (MRI). Group differences were explored using voxel-based morphometry and functional connectivity analyses. Analyses were restricted to the striatum, amygdala, and inferior frontal gyrus (IFG). Exploratory analyses tested whether relationshipsbetween brain structure and function were differently related to EDS subscales among groups. No structural differences were found between the two groups. However, right IFG and bilateral putamen volumes were differently related to the EDS subscales "time" and "tolerance", respectively, between the two groups. Resting-state functional connectivity was increased from right IFG to right superior parietal lobule in individuals with ED compared to inactive control participants. Furthermore, functional connectivity of the angular gyrus to the left IFG and bilateral caudate showed divergent relationships to the EDS subscale "tolerance" among groups. The findings suggest that ED may be accompanied by alterations in cognition-related brain structures, but also functional changes that may drive compulsive habitual behaviour. Further prospective studies are needed to disentangle beneficial and detrimental brain effects of ED.

Sugarcane cultivation as a major surface source of sediment in catchments from a coastal zone of Pernambuco, Brazil

ABSTRACT Identifying sediment sources is fundamental for protecting and improving soil and water quality. Conventional fingerprinting studies have often collected sediments at the overall watershed outlet only, resulting in an important spatial scale dependency. This study aimed to identify and to assess the delivery patterns of sediment sources within three priority sub-catchments (Sapocaji, Piedade and Minas) located in the downstream portion of the Ipojuca River watershed in Brazil. This research would build on understanding sediment sources in the studied watershed by elucidating source type contributions on a sub-catchment basis. Both bed and suspended sediment samples were collected in these sub-catchments, and two types of sources were sampled: surface and subsurface sources. A total of 21 geochemical tracers were measured. The tracers were evaluated for their conservation and discriminatory ability (Kruskal-Wallis test and linear discriminant analysis), and the best set of tracers was selected for source apportionment modeling using MixSIAR. Surface (i.e., sugarcane croplands) sources contributed the highest to suspended sediments in the Piedade and Minas sub-catchments. There was a difference in the quality of riverbank management, which helped explain contrasts in the importance of this source. Overall, sub-catchment-specific sediment control management measures, such as the revegetation of riparian forests, need to be implemented, mainly in the Sapocaji sub-catchment. These results underscore the importance of connectivity for surface source contributions.

Assessment on the heterogeneity and roughness of fracture surface of steel fiber reinforced concrete

The characterization of fracture morphology in steel fiber reinforced concrete (SFRC) remains an area of limited study. This research investigates the influence of heterogeneity on fracture surfaces in SFRC across various surface sizes, sampling intervals (δ), and directions. Utilizing point-cloud matching technique, fracture morphologies are characterized to analyze damages in the heterogeneous fracture process zone. Four roughness parameters, i.e., root mean square deviation (Sq), arithmetic average height (Sa) distribution, surface area to projective area (RS) and root mean square of directional derivatives (Z2–3D), are used to quantify morphology. Results reveal that as surface size arises, Sq and Sa increase with their ratio (Sq/Sa) approaching 1.25, while the ratios of Sq and Sa to size length decrease following a double-exponential decay model, indicating a size scale dependence. Meantime, roughness anisotropy, characterized by coefficient of variations in directional Z2–3D values, declines. RS and Z2–3D exhibit higher sensitivity to textural features than surface size, showing a δ-dependence. As δ rises, RS and Z2–3D sharply decrease, whereas Sq, Sa and Sq/Sa stabilize. This analysis highlights the significance of Z2–3D in providing insights into fracture morphological features and heterogeneity of SFRC.

Next-to-Next-to-Leading Order QCD Corrections to Semi-Inclusive Deep-Inelastic Scattering.

We present the first results for the next-to-next-to leading order (NNLO) corrections to the semi-inclusive deep-inelastic scattering process in perturbative quantum chromodynamics. We consider the quark initiated flavor nonsinglet process and obtain the complete contributions analytically at leading color. All relevant virtual and real emission Feynman diagrams have been computed using integration-by-parts reduction to master integrals and two approaches for their subsequent evaluation (parametric phase-space integration and method of differential equations). The numerical analysis demonstrates the significance of the NNLO corrections and their great impact on the reduction of the residual scale dependence.

Comparing Cannabis Use Motivations and Dependence Across Regular Cannabis Users Who Have or Have Not Recently Used Psilocybin.

Introduction: In Colorado, both cannabis and psilocybin are legal and becoming more commonly used. However, there is almost no research detailing the public health concerns regarding negative outcomes (e.g., dependence) of cannabis and psilocybin co-use and motives that may perpetuate these negative outcomes (e.g., coping, boredom). Methods: Using data from a larger observational study on cannabis and metabolic processes, regular cannabis users (use ≥7 times/month; n = 97, 35.1% female, 89.7% WHITE) who used psilocybin in the past 3 months (n = 34) were compared with those who had not used psilocybin in the past 3 months (n = 63) on cannabis dependence as measured by the Marijuana Dependence Scale and endorsement of 12 cannabis motives from the Comprehensive Marijuana Motives Questionnaire. Correlations between motives and dependence were also examined and compared across groups. Results: Findings revealed that individuals who had recently used psilocybin had greater cannabis dependence scores than those who had not used recently [F (1, 95) = 5.53, p = 0.02], and more strongly endorsed that their cannabis use was motivated by enjoyment [F (1, 91) = 4.31, p = 0.04], boredom [F (1, 91) = 9.10, p < 0.01], and availability [F (1, 91) = 9.46, p < 0.01]. Correlations between dependence scores and coping and boredom motives were also significantly positive for both groups (all p values <0.05) whereas positive correlations with experimentation, celebration, and availability motives were only significant for recent psilocybin users (all p values <0.05). Discussion: These results suggest there are motivational differences for cannabis use amongthose who co-use cannabis and psilocybin, and there may be a greater risk for harm for these individuals.

Is Maintenance or Switching Between Freebase and Nicotine Salt Liquid Associated with Electronic Nicotine Delivery Systems Dependence?

Background Electronic nicotine delivery systems (ENDS) use one of two formulations of nicotine—freebase or nicotine salt. This study examines whether maintenance or switching between nicotine formulations is associated with ENDS dependence using longitudinal survey data. Methods 543 U.S. adults (21+) using ENDS frequently (5+ days/week) self-reported and uploaded photos of their most used ENDS liquids in wave 3–5 online surveys from September 2021 to April 2023. Nicotine formulation from photo data was used if available; otherwise, self-reported data were used. ENDS dependence was measured in each wave by a 4-item E-cigarette Dependence Scale (EDS: range 0–4, 4 being most dependent). Data were analyzed using ANCOVA. Results Participants using nicotine salt liquids in three waves reported the highest EDS in wave 5 (49.3%, EDS = 2.59), followed by participants switching from salt to freebase (3.2%, EDS = 2.58), participants switching from freebase to salt (10.1%, EDS = 2.52), participants using freebase in three waves (34.9%, EDS = 2.18), and participants changing back and forth (2.4%, EDS = 2.11). After controlling for smoking status, participants stably using nicotine salt and participants switching from freebase to salt reported significantly higher EDS than those stably using freebase (p < 0.01). Conclusions Over an 18-month period, people consistently using nicotine salt liquids and participants switching from freebase to nicotine salt were more likely to have a higher ENDS dependence than those consistently using freebase liquids. Understanding how switching between nicotine formulations relates to ENDS dependence can inform nicotine formulation and concentration regulations that may impact addiction.

Exercise addiction: a comparison between runners, cyclists, swimmers, and triathletes

The aim of the present study was to evaluate and compare exercise addiction (EA) between runners, cyclists, swimmers, and triathletes. Took part in this study 39 runners, 32 cyclists, 30 swimmers and 38 triathletes. Exercise Dependence Scale (EDS), and the Exercise Addiction Inventory (EAI) was used to evaluate the EA and classified the participants into: at-risk for EA, nondependent-symptomatic, and nondependent asymptomatic.

Body Satisfaction, Exercise Dependence, and White Matter Microstructure in Young Adults.

Self-body satisfaction is considered a psychological factor for exercise dependence (EXD). However, the potential neuropsychological mechanisms underlying this association remain unclear. To investigate the role of white matter microstructure in the association between body satisfaction and EXD. Prospective. One hundred eight regular exercisers (age 22.11 ± 2.62 years; 58 female). 3.0 Tesla; diffusion-weighted echo planar imaging with 30 directions. The Body Shape Satisfaction (BSS) and Exercise Dependence Scale (EDS); whole-brain tract-based spatial statistics (TBSS) and correlational tractography analyses; average fractional anisotropy (FA) and quantitative anisotropy (QA) values of obtained tracts. The whole-brain regression model, mediation analysis, and simple slope analysis. P values <0.05 were defined as statistically significant. The BSS and EDS scores were 37.33 ± 6.32 and 68.22 ± 13.88, respectively. TBSS showed negative correlations between EDS and FA values in the bilateral corticospinal tract (CST, r = -0.41), right cingulum (r = -0.41), and left superior thalamic radiation (STR, r = -0.50). Correlational tractography showed negative associations between EDS and QA values of the left inferior frontal occipital fasciculus (r = -0.35), STR (r = -0.42), CST (r = -0.31), and right cingulum (r = -0.28). The FA values, rather than QA values, mediated the BSS-EDS association (indirect effects = 0.30). The BSS was significantly associated with the EDS score at both low (β = 1.02) and high (β = 0.43) levels of FA value, while the association was significant only at the high level of QA value (β = 1.26). EXD was correlated with white matter in frontal-subcortical and sensorimotor networks, and these tracts mediated the body satisfaction-EXD association. White matter microstructure could be a promising neural signature for understanding the underlying neuropsychological mechanisms of EXD. 2 TECHNICAL EFFICACY: Stage 1.