Adjustment Factors Research Articles

Penyesuaian Sosial Remaja Madya Akibat Perceraian Orang Tua di Banyuwangi

This research was conducted to determine the social adjustment of middle-aged teenagers who were victims of divorce in Banyuwangi using the case study method. Semi-structured interviews and observations were data collecting methods carried out with three participants who were the victim of divorce and four significant others. In the discussion, the researcher using thematic analysis technique by dividing several main themes and will divide several main themes 1.) the description of the effects of divorce, 2.) Aspects of social adjustment, and 3.) Social adjustment factors. This study revealed that the three participants whose families had divorced had almost the same social adjustment process, however, differed in dynamics and several aspects. Meanwhile, the influencing factors is environmental factor, especially the community environment to undergo social adjustments in their environment.

Fabrication of PZT/PVDF composite film and the influence of homogeneity to dielectric constant

AbstractThe Lead Zirconate Titanate/polyvinylidene fluoride (PZT/PVDF) piezoelectric composite with various volume fractions of PZT is successfully fabricated by the proposed solution casting and hot press methods. The aim of this study is to determine the quality of the composite material being fabricated by its homogeneity. Homogeneity can be determined by computing the free path space between particles based on the binary image of SEM, using dispersion and distribution quantitative methods, to gain a comprehensive understanding of the particles' scattering conditions. In comparison to several selected models providing adjustable factors that are highly related to the effect of homogeneity of the composite's internal structure, a suitable model is found.

A Seismic Site Factor Adjustment Framework for Sloping Grounds and Its Application to Charleston, South Carolina

ABSTRACT Ground motions and seismic site factors for the design and analysis of infrastructure systems are typically computed based on one-dimensional (1-D) site response analysis, assuming the ground surface is horizontal and the earthquake waves propagate vertically near the ground surface. The 1-D results may not be applicable for sloping ground surfaces and layer interfaces, and therefore, the 1-D results must be adjusted for sloping grounds. In this study, a general framework for developing seismic site factors for sloping grounds and its application for Charleston, SC is presented. The two-dimensional (2-D) site response analysis results of sloping ground were compared with the 1-D horizontal ground results to develop slope adjustment factors. A total of 385 2-D nonlinear finite element simulations of sloping grounds were performed considering seven ground inclinations, 11 shear wave velocity profiles, and five ground motions representative of the area. The results show that the surface responses computed from sloping ground analyses significantly differ from those of horizontal ground analyses. By comparing the 1-D and 2-D results, a set of slope adjustment factors was developed and expressed as an easy-to-use chart. The slope adjustment factor at a project site can be obtained from the proposed chart using site-specific VS30 and ground inclination at a selected period.

Timber Strength Grading as Necessary Basis for Structural Design in ex-YU Region

The aim of this paper is to contribute to the classification of structural timber in the ex-YU region into strength-class system through the application of experimentally obtained archive data in order to provide a realistic framework for most commonly used II grade (according to JUS) structural coniferous timber. The analysis of archive data was carried out on a sample of 150 specimens of structural size and based on the set of statistical requirements prescribed by EN standards, taking into account the change in disposition of loading in laboratory testing in the past and now. Statistical procedures prescribed by EN standards are given through calculation steps together with necessary adjustment factors that cover the size and number of specimens. The presented procedures given for structural-size specimens are also applicable to small clear specimens, so that a more comprehensive research and additional new examinations could be conducted with the available archive data simultaneously with the harmonization of the visual classification rules applied in the ex-YU region. The paper emphasises the direct dependence of the consistent application of the visual grading rules required by the relevant EN standard on strength-class system.

Asymmetric slack contrastive learning for full use of feature information in image translation

Recently, contrastive learning has been proven to be powerful in cross-domain feature learning and has been widely used in image translation tasks. However, these methods often overlook the differences between positive and negative samples regarding model optimization ability and treat them equally. This weakens the feature representation ability of the generative models. In this paper, we propose a novel image translation model based on asymmetric slack contrastive learning. We design a new contrastive loss asymmetrically by introducing a slack adjustment factor. Theoretical analysis shows that it can adaptively optimize and adjust according to different positive and negative samples and significantly improve optimization efficiency. In addition, to better preserve local structural relationships during image translation, we constructed a regional differential structural consistency correction block using differential vectors. Comparative experiments were conducted using seven existing methods on five datasets. The results indicate that our method can maintain structural consistency between cross-domain images at a deeper level. Furthermore, it is more effective in establishing real image-domain mapping relations, resulting in higher-quality images being generated.

Three-Dimensional Computerized Ionospheric Tomography over Maritime Areas Based on Simulated Slant Total Electron Content along Small-Satellite Constellation–Automatic Identification System Signal Rays

Ionospheres over sea areas have an inevitable impact on maritime–satellite communications; however, due to geographic constraints, ionospheric observation and analysis over sea areas are far from adequate. In our paper, slant total electron content (STEC) along small-satellite constellation–automatic identification system (AIS) signal rays is used for computerized ionospheric tomography (CIT) over sea areas, and small-satellite constellations can provide more effective signal rays than a single satellite. An adjustment factor δ is introduced to optimize the initial electron density for the multiplicative algebraic reconstruction technique (MART). The CIT results reconstructed by a traditional MART and our new method at 00:00 and 06:00, 15 March 2022, are compared, and our new method produces about a 15% and over 40% improvement in average deviation (AD) and root-mean-square error (RMSE). The results show that the bigger the difference between δ and 1, the better improvement will be in the 3D CIT process. The initial electron density is well selected during CIT when δ is approximate to 1, which is the case at 12:00, and the reconstructed 3D electron density, applying the initial ne and the adjusted initial ne, are both close to the true electron density. The small-satellite constellation–AIS signals are valuable resources for electron density reconstruction in sea areas.

Vulnerability Factors, Adjustment, and Opioid Misuse in Chronic Noncancer Pain Individuals

Several person variables predate injury or pain onset that increase the probability of maladjustment to pain and opioid misuse. The aim of this study was to evaluate the role of 2 diathesis variables (impulsiveness and anxiety sensitivity [AS]) in the adjustment of individuals with chronic noncancer pain and opioid misuse. The sample comprised 187 individuals with chronic noncancer pain. The hypothetical model was tested using correlation and structural equation modeling analyses. The results show a significant association between impulsiveness and AS and all the maladjustment variables, and between impulsiveness and AS and opioid misuse and craving. However, although the correlation analysis showed a significant association between adjustment to pain and opioid misuse, the structural equation modeling analysis showed a nonsignificant association between them (as latent variables). The findings support the hypothesis that both impulsiveness and AS are vulnerability factors for maladaptive adjustment to chronic pain and opioid misuse. PerspectiveThis article adds to the empirical literature by including AS and impulsiveness as antecedent variables in a model of dual vulnerability to chronic pain maladjustment and opioid misuse. The findings suggest the potential utility of assessing both factors in individuals in the first stages of chronic pain.

Severity of effect considerations regarding the use of mutation as a toxicological endpoint for risk assessment: A report from the 8th International Workshop on Genotoxicity Testing (IWGT).

Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose-response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An "effect severity" AF (ESAF) is employed in some regulatory contexts. An ESAF of 10 may be incorporated in the derivation of a health-based guidance value (HBGV) when a "severe" toxicological endpoint, such as teratogenicity, irreversible reproductive effects, neurotoxicity, or cancer was observed in the reference study. Although mutation data have been used historically for hazard identification, this endpoint is suitable for quantitative dose-response modeling and risk assessment. As part of the 8th International Workshops on Genotoxicity Testing, a sub-group of the Quantitative Analysis Work Group (WG) explored how the concept of effect severity could be applied to mutation. To approach this question, the WG reviewed the prevailing regulatory guidance on how an ESAF is incorporated into risk assessments, evaluated current knowledge of associations between germline or somatic mutation and severe disease risk, and mined available data on the fraction of human germline mutations expected to cause severe disease. Based on this review and given that mutations are irreversible and some cause severe human disease, in regulatory settings where an ESAF is used, a majority of the WG recommends applying an ESAF value between 2 and 10 when deriving a HBGV from mutation data. This recommendation may need to be revisited in the future if direct measurement of disease-causing mutations by error-corrected next generation sequencing clarifies selection of ESAF values.

Randomized phase III study comparing suspension or continuation of PD-1 pathway blockade for patients with advanced non-small-cell lung cancer (SAVE study: JCOG1701).

TPS8659 Background: The advent of immune checkpoint inhibitors (ICIs) targeting the PD-1 pathway, including nivolumab, pembrolizumab, and atezolizumab, has significantly improved the efficacy outcomes, namely progression-free survival (PFS) and overall survival (OS), in the treatment of advanced non-small cell lung cancer (NSCLC). This improvement is underscored by the observation that some patients (pts) who responded to ICIs continued to show a response even after discontinuing the treatment. Consequently, cessation of ICIs may not adversely impact OS, while potentially reducing immune-related toxicity and financial burden. Methods: The JCOG1701 is a multi-institutional, two-armed, open-label, randomized phase III trial. The objective of this study is to confirm the non-inferiority of suspension of ICIs to their continuation in patients with advanced or recurrent NSCLC who have shown a positive response to ICIs for 12 months or longer. For patients in the suspension arm who experience disease progression, re-initiation of immune checkpoint inhibitors (ICIs) is conducted. The patients were randomized in a 1:1 ratio to either the continuation or discontinuation arms. Randomization was performed by the minimization method using the institution, histology (squamous vs. non-squamous), and drug/timing parameters (first-line pembrolizumab/atezolizumab vs. second-line atezolizumab vs. second-line nivolumab vs. second-line pembrolizumab vs. combined therapy with chemotherapy) as adjustment factors. The primary endpoint of the trial is OS, while secondary endpoints include PFS, time to treatment failure of strategy, response rate, PFS post resumption of ICIs, and safety. In the periodical blinded monitoring, the pooled Kaplan-Meier curve for OS seemed significantly better than planned. This motivated to change the primary analysis method from hazard ratio to a difference in 6-year restricted mean survival time with a non-inferiority margin of 5.6 months. With one-sided alpha of 5% and power of 70%, the study aimed to enroll 172 patients assuming that 2-year OS is 94% in both arms. As of Jan 2024, 162 patients have been randomized, with full enrollment projected by Nov 2024. The trial is registered in the Japan Registry for Clinical Trials as jRCT1031190032. An ancillary study exploring the predictive and prognostic role of circulating tumor DNA is also planned. The findings of the JCOG1701 will provide data for making more informed treatment decisions in advanced NSCLC, specifically related to the continuation or suspension of ICIs. Clinical trial information: CRB3180009 .

Filial piety as a beneficial factor for posttraumatic adjustment in the context of adverse childhood experiences among Taiwanese young adults

Introduction: Adverse childhood experiences (ACEs) increase posttraumatic stress symptoms (PTSS) after exposure to later trauma, but in Chinese society some cultural factors such as filial piety can be perceived as a protector buffering the negative results of ACEs on early adulthood adaptation. Method: This study used a longitudinal design to investigate whether dual filial piety—reciprocal filial piety (RFP: affection/gratitude) and authoritarian filial piety (AFP: role obligation/hierarchy)—are protective factors against PTSS and facilitate posttraumatic growth (PTG) following trauma among Taiwanese young adults. The final sample comprised 246 participants aged 18-25 years old who reported experiencing at least one type of trauma in their history of ACEs, RFP, AFP, PTSS, and PTG at Time 1. One (Time 2) and seven (Time 3) months later, 98 and 60 of the original respondents completed follow-up assessments. Results: Results showed that ACEs were significantly associated with higher PTSS, and both RFP and AFP significantly related to lower PTSS and higher PTG at Time 1 and Time 2. Furthermore, RFP mediated the relationship between ACEs and PTSS such that individuals with higher RFP reported lower PTSS across time. Discussion: These findings suggest that filial piety may serve as a protective factor against PTSS and facilitate PTG among traumatized Taiwanese individuals with a history of ACEs. The study implies that future research should explore the mechanisms underlying these relationships and consider how cultural factors may influence the role of filial piety in posttraumatic adjustment.

JCOG2002: A randomized phase III study of thoracic radiotherapy for extensive stage small cell lung cancer.

TPS8132 Background: Consolidative thoracic radiotherapy (cTRT) has shown a marginal improvement in overall survival (OS) and progression-free survival (PFS) for extensive-stage small-cell cancer (ES-SCLC). Consequently, ASTRO and NCCN guidelines conditionally recommend the use of cTRT. Despite the recent establishment of anti-PD-L1 antibody (aPD-L1) combined with platinum-doublet chemotherapy as the standard first-line treatment for ES-SCLC, the impact of cTRT in the era of immunotherapy remains uncertain. Methods: The JCOG2002 study, a randomized, multicenter phase 3 trial, initiated in October 2021 to assess the superiority of additional cTRT in terms of OS for ES-SCLC following induction aPD-L1 plus platinum doublet chemotherapy. Eligibility patients must meet criteria for the first registration including ES-SCLC, no prior radiation or chemotherapy history, age 20 or older, ECOG performance status 0 or 1, and adequate organ function. Induction treatment involves atezolizumab + carboplatin + etoposide or durvalumab + cisplatin / carboplatin + etoposide. Responding patients proceed to the second registration, randomization (1:1 between 30 Gy in 10 fractions of cTRT plus aPD-L1 maintenance therapy and maintenance therapy only). The cTRT targets metastatic lymph nodes in stations #1-7 and ipsilateral stations #10-12 identified at diagnosis. The adjustment factors include response to induction treatment (CR/PR versus SD), presence of brain metastasis (yes versus no), participating institutions, and aPD-L1 type (atezolizumab versus durvalumab). The primary endpoint is OS, with secondary endpoints being PFS and safety. The study aims to enroll 240 randomized patients, with 330 in the first registration, providing 80 % power at a one-sided 5 % significance level to detect a hazard ratio of 0.69 with 3-year accrual period and 1-year follow-up. As of February 6, 2024, 239 patients initiated induction treatment, and 121 have been randomized. This trial is registered at Japan Registry of Clinical Trials as jRCTs031210393 (https://jrct.niph.go.jp/detail/jRCTs031210393). Clinical trial information: jRCTs031210393 .

Computation of minimum adjustment factors for sustainable groundwater management using data assimilation and Vensim dynamic model

Computation of minimum adjustment factors for sustainable groundwater management using data assimilation and Vensim dynamic model

Radiometric Cross-Calibration of GF6-PMS and WFV Sensors with Sentinel 2-MSI and Landsat 9-OLI2

A panchromatic and multispectral sensor (PMS) and a wide-field-of-view (WFV) sensor were fitted aboard the Gaofen6 (GF6) satellite, which was launched on 2 June 2018. This study used the Landsat9-Operational Land Imager 2 and Sentinel2-Multispectral Instrument as reference sensors to perform radiometric cross-calibration on GF6-PMS and WFV data at the Dunhuang calibration site. The four selected sensor images were all acquired on the same day. The results indicate that: the calibration results between different reference sensors can be controlled within 3%, with the maximum difference from the official coefficients being 8.78%. A significant difference was observed between the coefficients obtained by different reference sensors when spectral band adjustment factor (SBAF) correction was not performed; from the two sets of validation results, the maximum mean relative difference in the near-infrared band was 9.46%, with the WFV sensor showing better validation results. The validation of calibration coefficients based on synchronous ground observation data and the analysis of the impact of different SBAF methods on the calibration results indicated that Landsat9 is more suitable as a reference sensor for radiometric cross-calibration of GF6-PMS and WFV.

Ageing and Polypharmacy in Mesenchymal Stromal Cells: Metabolic Impact Assessed by Hyperspectral Imaging of Autofluorescence.

The impact of age on mesenchymal stromal cell (MSC) characteristics has been well researched. However, increased age is concomitant with increased prevalence of polypharmacy. This adjustable factor may have further implications for the functionality of MSCs and the effectiveness of autologous MSC procedures. We applied hyperspectral microscopy of cell autofluorescence-a non-invasive imaging technique used to characterise cytometabolic heterogeneity-to identify changes in the autofluorescence signals of MSCs from (1) young mice, (2) old mice, (3) young mice randomised to receive polypharmacy (9-10 weeks of oral therapeutic doses of simvastatin, metoprolol, oxycodone, oxybutynin and citalopram), and (4) old mice randomised to receive polypharmacy. Principal Component Analysis and Logistic Regression Analysis were used to assess alterations in spectral and associated metabolic characteristics. Modelling demonstrated that cells from young mice receiving polypharmacy had less NAD(P)H and increased porphyrin relative to cells from old control mice, allowing for effective separation of the two groups (AUC of ROC curve > 0.94). Similarly, cells from old polypharmacy mice were accurately separated from those from young controls due to lower levels of NAD(P)H (p < 0.001) and higher porphyrin (p < 0.001), allowing for an extremely accurate logistic regression (AUC of ROC curve = 0.99). This polypharmacy regimen may have a more profound impact on MSCs than ageing, and can simultaneously reduce optical redox ratio (ORR) and increase porphyrin levels. This has implications for the use of autologous MSCs for older patients with chronic disease.

Evaluating the impact of anatomical and physiological variability on human equivalent doses using PBPK models.

Addressing human anatomical and physiological variability is a crucial component of human health risk assessment of chemicals. Experts have recommended probabilistic chemical risk assessment paradigms in which distributional adjustment factors are used to account for various sources of uncertainty and variability, including variability in the pharmacokinetic behavior of a given substance in different humans. In practice, convenient assumptions about the distribution forms of adjustment factors and human equivalent doses (HEDs) are often used. Parameters such as tissue volumes and blood flows are likewise often assumed to be lognormally or normally distributed without evaluating empirical data for consistency with these forms. In this work, we performed dosimetric extrapolations using physiologically based pharmacokinetic (PBPK) models for dichloromethane (DCM) and chloroform that incorporate uncertainty and variability to determine if the HEDs associated with such extrapolations are approximately lognormal and how they depend on the underlying distribution shapes chosen to represent model parameters. We accounted for uncertainty and variability in PBPK model parameters by randomly drawing their values from a variety of distribution types. We then performed reverse dosimetry to calculate HEDs based on animal points of departure for each set of sampled parameters. Corresponding samples of HEDs were tested to determine the impact of input parameter distributions on their central tendencies, extreme percentiles, and degree of conformance to lognormality. This work demonstrates that the measurable attributes of human variability should be considered more carefully and that generalized assumptions about parameter distribution shapes may lead to inaccurate estimates of extreme percentiles of HEDs.

Pit Slope Configuration for Open Pit Mining – A Case Study

To achieve stable pit wall slopes, it is imperative to obtain a fair knowledge of the rock mass characterisation before designing the pit. Insufficient knowledge of the competency of the country rock could lead to using unsupported slope configuration in the design process which can consequently lead to slope failure. In this study, the geomechnical properties of the Bremen-Nkosuo concession are analysed using Bieniawski’s classification scheme to determine the Rock Mass Rating (RMR) for defining safe pit slope configuration of the Nkosuo pit. The findings show that the rockmass are best described as ‘fair’ for the two main lithologies existing at the concession. Subsequently, localised adjustment factors are applied to the calculated RMR to arrive at Mining Rock Mass Ratings (MRMR). These MRMR values are correlated with 50 m fixed stack height and 1.2 safety factor to determine optimum Bench Slack Angle (BSA) of 54° and 57° for host sedimentary and granitic rocks respectively. For individual benches, optimum slope design configurations were 10 m, 800, and 6.6 m respectively for bench height, bench face angle and catch berm for metasedimentary rocks. Likewise, that for granitic formation were 10 m bench height, 800 face angle and 6.0 m catch berm width. These configurations are in conformance with mineral and mining regulations of Ghana. Slope stability assessment was performed which included Slope Mass Rating (SMR), Kinematic and Limit equilibrium analysis. From the analysis, multi-bench scale slope instability occurrence was found to be rare but single-double scale could be possible at the western wall of the planned pit with probability of failure of about 0.4. Presplit and trim shots perimeter blasting techniques are recommended to maintain the integrity of the final pit walls at certain areas.

Illness cognition and associated socio-demographic and clinical factors in parents of children with leukemia

PurposeIllness cognition is an important mediator between psychological and behavioral adjustment and the quality of life for patients and their caregivers. Evidence related to illness cognition among parents of children with leukemia is limited. The purpose of this study is to explore the illness cognition status and associated factors in parents of children with leukemia.MethodsA cross-sectional survey was conducted with the parents of 335 children with leukemia from three general children’s hospitals in China from January to December 2022. A parents’ version of the illness cognition questionnaire was used to collect data. This included three subscales: helplessness, acceptance, and perceived benefits.ResultsThe mean scores of helplessness, acceptance and perceived benefits of parents regarding their children’s disease were 15.56 (4.60), 16.25 (4.41), and 19.96 (3.69) respectively. The multiple regression model indicated seven factors associated with the parents’ illness cognition (adjusted R [2] ranged from 0.182 to 0.134): four socio-demographic factors (parent’s age, role, education level, and family income) and three clinical factors (length of time spent each day caring for the child, the child’s age at diagnosis, and the duration of the disease).ConclusionThis study reports on different levels of illness cognition and associated factors among parents of children with leukemia. The results may help pediatric oncology medical staff identify risk factors for poor psychological adjustment to children’s diseases. Parents may benefit from psychological support aimed at improving positive illness cognition.

Structural adjustment, economic performance, and electoral volatility in presidential elections in Latin America

AbstractDrawing upon the Latin American Presidential and Legislative Elections database and our own original data set, we assess the effects of structural adjustment and other economic factors on presidential electoral volatility in 24 Latin American countries in 1982–2016. The results of our study indicate that both structural adjustment and inflation have a positive association with Type B presidential electoral volatility (the volatility generated from changes in the vote shares of established parties). Economic growth appears to have only a weak negative association with overall presidential electoral volatility. Type A presidential electoral volatility (the volatility associated with the rise of new parties) is mostly determined by demographic factors and the electoral system for the presidency. As with legislative volatility in Latin America, Africa, and postcommunist Europe, explaining stable party presidential volatility appears more challenging than explaining party replacement presidential volatility. Overall, several of the findings about legislative volatility are echoed in this study, but presidential electoral volatility is notably higher than legislative volatility in Latin America.

Tunable uniform field enhancement in a subwavelength air pillar by photonic doping in epsilon-near-zero medium

In this study, a novel electric field compressor is proposed by doping a metal-air-metal pillar in epsilon-near-zero medium within a metallic waveguide, which effectively enhances the background electric fields in a sub-wavelength air pillar with high uniformity. The field enhancement factor can be analytically determined through theoretical derivations from Maxwell’s equations, reaching its maximum value by appropriately selecting the size of the air pillar. Furthermore, the proposed compressor can achieve a tunable electric field enhancement effect within the deep sub-wavelength air pillar by adjusting the height of the air pillar through movement of two metal pillars inserted into the waveguide. Both theoretical analysis and numerical simulations are employed to validate the performance of the electric field compressor, which exhibits a wide range of tunable field enhancement effect (i.e., continuously adjustable enhancement factor between 20 and 800) with uniformity below 1.5 within the deep sub-wavelength air pillar (wherein the air volume is smaller than λ0/10 × λ0/10 × λ0/16). Finally, a practical model is proposed for the realization of the electric field compressor in the microwave range, where specially placed metal pillars and wires are incorporated into a rectangular metallic waveguide structure. The field enhancement and tunable effects of this practical model have been verified through simulations.

Quantifying risks of lane-changing behavior in highways with vehicle trajectory data under different driving environments

Improper lane-changing behavior may have a great impact on the safety of the surrounding vehicles, and accurate risk assessment of lane-changing behavior can detect improper lane-changing behavior. Many existing risk assessment methods are based on the traditional minimum safe distance model as the theoretical foundation, not taking into account the effects of different weather and road conditions. Moreover, the initially calculated safe lane-changing distance through the model is generally the limit safety distance, which deviates to some extent from the initial distance maintained when the vehicle begins to change lanes during the actual driving process. The ratio of these two distances can reflect the degree of risk between the changing vehicle and its neighboring vehicles during lane-changing. For this reason, a lane-changing safety coefficient is defined and lane-changing risk assessment model based on the hyperbolic tangent function is constructed by combining the change characteristics of this coefficient. An environmental adjustment factor was introduced into the model to consider the influence of different driving weather and road conditions on the lane-changing risk assessment. Then, based on survey data from the survey questionnaire, the weights of the influencing factors were determined by using the hierarchical analysis method, and the environmental adjustment factor in the model was calibrated by using the fuzzy comprehensive assessment method. Finally, to verify the effectiveness of the model, the lane-changing trajectories of 373 vehicles were extracted from the HighD dataset. The risk assessment value of lane-changing was calculated by using the constructed model and was classified into high-risk, medium-risk and low-risk by using the K-means++ clustering algorithm. Various evaluation results were compared with the evaluation results from the expert evaluation method and the classical risk evaluation indexes, and the evaluation results are basically the same, which verifies the effectiveness of the lane-changing risk model established.