Consistency Index Research Articles

The Hierarchy of Sustainable Sports Coaching Competencies in Korea

This study aimed to identify the significant overarching sports coaching competencies and their underlying components in contemporary Korean society and into the future. In addition, the hierarchical order of these competencies and components was investigated to assess their relative importance. This knowledge can improve pre-service and in-service sports coach training programs and their sustainability. A literature review in Korean and English related to sports coaching was performed initially to understand which competencies and components have already been researched and recognized. The subsequent study surveyed 20 experts using the Delphi process and 28 experts using the analytic hierarchy process (AHP), considering seven sports competencies and 23 components based on the literature. All the competencies and components were considered appropriate sustainable measures of a sports coach’s competence based on the Delphi content validity ratio (CVR) > 0.500. The AHP results ranked “pedagogical” competence the highest, with a weight of 0.329 in the competence hierarchy, while “operational and managerial” competence ranked at the bottom with a weight of 0.057. In relation to the rank order of the components under each competence, “pedagogical communication” (0.136) and “sport-specific skill performance” (0.086) ranked first and second, respectively. In contrast, “facilities and equipment management” (0.008) ranked at the bottom and “public relations and marketing” (0.008) ranked right above it. The values of the consistency index and the consistency ratio were <1.000, indicating that the competencies and components hierarchies were reliable. The results confirm that in Korea’s pre- and in-service sports coach training programs, comprehensive and in-depth pedagogical knowledge, as well as sports knowledge in areas like sports biomechanics, sports physiology, and sports nutrition, need to be reinforced for ongoing success.

Waste to value: Enhancing xanthan gum hydrogel with wine lees extract for optimal performance

The current study investigated the potential of utilizing wine lees extract (WLE) from red wine to enhance the sustainability and cost-effectiveness of xanthan gum (XG). A novel hydrogel system was successfully generated by cross-linking WLE and XG. Response surface methodology (RSM) was used to thoroughly analyze the characteristics of this novel hydrogel to understand its behavior and possible applications. Consistency index (K), flow behavior index (n), water holding capacity (%), and oil binding capacity (%) of the cross-linked hydrogels were optimized, and the best formulation was determined to be 0.81 % XG + 0.67 % WLE and crosslink temperature of 47 °C. The addition of WLE (0–1 % w/v) to different concentrations of XG (0–1 % w/v) was found to have a notable impact on the rheological properties, but changes in cross-link temperature (45–65 °C) did not have a significant effect. The activation energy was increased by incorporating WLE at XG concentration above 0.5 %, indicating a more robust and stable structure. FTIR and SEM analyses confirmed the chemical bonding structure of the optimum hydrogel. Incorporating WLE could significantly improve the functional properties of XG hydrogels, allowing the development of healthier product formulations.

Quantitative evaluation of China's energy supply policies in the ‘13th Five‐Year Plan’ period (2016–2020): A PMC index modelling approach incorporating text mining

AbstractEnergy supply policy quality is an important factor that would impact national energy security. While existing research conducted policy evaluation from the lens of performance assessment, less study has been devoted to evaluating energy supply policy from the perspective of policy making. This study takes the energy supply policy documents issued by China's central government during the ‘13th Five‐Year Plan’ period (2016–2020) as the research sample, and pioneers the use of the extended policy modelling consistency (PMC) index model combined with the text mining methodology to construct a policy evaluation index system with the characteristics of the energy supply policy which conducts a more in‐depth quantitative evaluation of the energy supply policy documents. The results show that the average PMC index value of China's energy supply policies is 7.26, and the overall quality is high. The concerns of existing policies are mainly focused on reform and development planning, safety production management and project engineering construction, but there is still room for improvement in policy predictability, coordination of policy areas, clarity of policy basis and goals and comprehensiveness of policy tool combinations. Based on this, China should improve the comprehensiveness of its energy supply policy tool combinations in terms of policy design norm; strengthen policy predictability and coordination of policy areas in terms of policy implementation guarantee; and clarify the basis and goals of policies in terms of policy orientation enhancement, to provide a reference basis for the formulation and improvement of future energy supply policies and to realise the sustainable development of energy supply.

Unraveling neoantigen-associated genes in bladder cancer: An in-depth analysis employing 101 machine learning algorithms.

The therapeutic outcomes for bladder cancer (BLCA) remain suboptimal. Concurrently, there is a growing appreciation for the role of neoantigens in tumors. In this study, we explored the mechanisms underlying the involvement of neoantigen-associated genes in BLCA and their impact on prognosis. Our analysis incorporated both single-cell sequencing and bulk sequencing data sourced from publicly available databases. By employing a comprehensive set of 10 machine learning algorithms, we generated 101 algorithm combinations. The optimal combination, determined based on consistency indices, was utilized to construct a prognostic model comprising nine genes (CAPG, ACTA2, PDIA6, AKNA, PTMS, SNAP23, ID2, CD3G, SP140). Subsequently, we validated this model in an independent cohort, demonstrating its robust testing efficacy. Moreover, we explored the correlations between various clinical traits, model scores, and genes. Leveraging extensive public data resources, we conducted a drug sensitivity analysis to provide insights for targeted drug screening. Additionally, consensus clustering analysis and immune infiltration analysis were performed on bulk sequencing datasets and immunotherapy cohorts. These analyses yield valuable insights into the role of neoantigens in BLCA, guiding future research endeavors.

Prognostic significance of surgery and radiotherapy in elderly patients with localized prostate cancer: establishing and time-based external validation a nomogram from SEER-based study

ObjectiveProstate cancer (PC) is a significant disease affecting men’s health worldwide. More than 60% of patients over 65 years old and more than 80% are diagnosed with localized PC. The current choice of treatment modalities for localized PC and whether overtreatment is controversial. Therefore, we wanted to construct a nomogram to predict the risk factors associated with cancer-specific survival (CSS) and overall survival (OS) in elderly patients with localized PC while assessing the survival differences in surgery and radiotherapy for elderly patients with localized PC.MethodsData of patients with localized PC over 65 years were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression models were used to determine independent risk factors for CSS and OS. Nomograms predicting CSS and OS were built using multivariate Cox regression models. The consistency index (C-index), the area under the subject operating characteristic curve (AUC), and the calibration curve were used to test the accuracy and discrimination of the prediction model. Decision curve analysis (DCA) was used to test the potential clinical value of this model.ResultsA total of 90,434 patients over 65 years and diagnosed with localized PC from 2010 to 2018 were included in the study. All patients were randomly assigned to the training set (n = 63,328) and the validation set (n = 27,106). Univariate and multivariate Cox regression model analysis showed that age, race, marriage, T stage, surgical, radiotherapy, prostate-specific antigen (PSA), and Gleason score (GS) were independent risk factors for predicting CSS in elderly patients with localized PC. Age, race, marriage, surgery, radiotherapy, PSA, and GS were independent risk factors for predicting OS in elderly patients with localized PC. The c-index of the training and validation sets for the predicted CSS is 0.802(95%CI:0.788–0.816) and 0.798(95%CI:0.776–0.820, respectively). The c-index of the training and validation sets for predicting OS is 0.712(95%:0.704–0.720) and 0.724(95%:0.714–0.734). It shows that the nomograms have excellent discriminatory ability. The AUC and the calibration curves also show good accuracy and discriminability.ConclusionWe have developed new nomograms to predict CSS and OS in elderly patients with localized PC. After internal validation and external temporal validation with reasonable accuracy, reliability and potential clinical value, the model can be used for clinically assisted decision-making.

Prognostic model for survival in patients with neuroendocrine carcinomas of the cervix: SEER database analysis and a single-center retrospective study.

Neuroendocrine carcinoma of the cervix (NECC) is extremely rare in clinical practice. This study aimed to methodologically analyze the clinicopathological factors associated with NECC patients and to develop a validated survival prediction model. A total of 535 patients diagnosed with NECC between 2004 and 2016 were identified from the Surveillance, Epidemiology and End Results (SEER) database, while 122 patients diagnosed with NECC at Yunnan Cancer Hospital (YCH) from 2006 to 2019 were also recruited. Patients from the SEER database were divided into a training cohort (n = 376) and a validation cohort (n = 159) in a 7:3 ratio for the construction and internal validation of the nomogram. External validation was performed in a cohort at YCH. The Kaplan-Meier method was used for survival analysis, the Log-rank method test was used for univariate analysis of prognostic influences, and the Cox regression model was used for multivariate analysis. The 3-year and 5-year overall survival (OS) rates for patients with NECC in SEER were 43.6% and 39.7%, respectively. In the training cohort, multivariate analysis showed independent prognostic factors for NECC patients including race, tumor size, distant metastasis, stage, and chemotherapy (p<0.05). For extended application in other cohorts, a nomogram including four factors without race was subsequently created. The consistency index (C-index) of the nomogram predicting survival was 0.736, which was well-validated in the validation cohorts (0.746 for the internal validation cohort and 0.765 for the external validation cohort). In both the training and validation cohorts, the 3-year survival rates predicted by the nomogram were comparable to the actual ones. We then succeeded in dividing patients with NECC into high- and low-risk groups concerning OS using the nomogram we developed. Besides, univariate analysis showed that chemotherapy ≥4 cycles may improve the OS of patients at YCH with NECC. We successfully constructed a nomogram that precisely predicts the OS for patients with NECC based on the SEER database and a large single-center retrospective cohort. The visualized and practical model can distinguish high-risk patients for recurrence and death who may benefit from clinical trials of boost therapy effectively. We also found that patients who received more than 4 cycles of chemotherapy acquired survival benefits than those who received less than 4 cycles.

APPS-S: A Tool for Measuring the Attitudes Toward Prostitution and Women in Prostitution in the Spanish Population.

This study was designed with the purpose of testing the psychometric properties of the Spanish version of the Attitudes toward Prostitution and Prostitutes Scale through three studies with different samples. The first one explores the test's dimensional structure or constructs validity through confirmatory factor analysis, as well as internal consistency and test-retest reliability. The second one focuses on discriminant and criteria validity. Finally, the third one examines the scale's convergent validity and its sensitivity to detecting changes. The results support two subscales with an optimal index of internal consistency, structural stability over time, and discriminative power between groups of participants. It is, therefore, an adequate tool for adults as well as young people and teenagers, and for detecting changes in the context of intervention or awareness workshops.

Importance of geotechnical soil properties for precision Forest activities in a karst area

Some soil behaviors change significantly as water content varies over time. The particle size distribution of soils has a direct impact on mechanical properties such as soil water content, resistance to dispersion, swelling-shrinkage, fluidity, plasticity, and stickiness. This study was conducted to investigate the usability of Atterberg limits, consistency index and coefficient of linear extensibility (COLE) in the temporal planning of ecosystem restoration activities such as silvicultural interventions, tillage, afforestation, and the construction of forest roads, etc. Surface soil samples were collected from the sections numbered 263, 264, 266, 268, 317, 318, 319, 323, 324,325 and 366 of the degraded forest of the Andırın forestry operations department. The COLE, liquid limit (LL), plastic limit (PL), plasticity index and consistency index values of soil samples were determined. The LL values ranged from 17.5 to 62.4%, the PL values from 8.2 to 46.8% and the PI values from 6.4 to 15.5. The highest COLE value (0.13) was recorded in the section 318, while the lowest COLE value (0.03) was in section 325.The LL and PL values have a positive linear relationship with clay and organic matter content. All sections have karstic characteristics, but the mechanical characteristics of the soils differ significantly between the sections. Silvicultural interventions carried out especially in section 318, which had the lowest consistency index (Ic = 0.70), and sections 263, 264, 317 and 319, where the consistency index is >2,should take mechanical properties into account, and the planting time intervals should be determined, accordingly for sustainable forestry.

Dietary Cannabidiol Activates PKA/AMPK Signaling and Attenuates Chronic Inflammation and Leaky Gut in DSS-Induced Colitis Mice.

Inflammatory bowel disease (IBD) is characterized by chronic inflammation in the gut, accompanied by impaired epithelial integrity, increased macrophage infiltration, and enhanced colon cancer risk. Cannabidiol (CBD), a phytocannabinoid isolated from cannabis plants, is supplemented into mice diet, and its beneficial effects against dextran sulfate sodium (DSS)-induced experimental colitis is evaluated. Eight-week-old mice were fed a standard diet supplemented with or without CBD (200mg kg-1 ) for 5 weeks. In the 4th week of dietary treatment, mice were subjected to 2.5% DSS induction for 7 days, followed by 7 days of recovery, to induce colitis. CBD supplementation reduced body weight loss, gross bleeding, fecal consistency, and disease activity index. In addition, CBD supplementation protected the colonic structure, promoted tissue recovery, and ameliorated macrophage infiltration in the colonic tissue, which was associated with the activation of cyclic AMP-protein kinase A, extracellular signal-regulated kinase ½, and AMP-activated protein kinase signaling pathways. CBD supplementation also suppressed NLRP3 inflammasome activation and related pro-inflammatory marker secretion. Consistently, CBD feeding reduced tight junction protein claudin2 and myosin light chain kinase in DSS-treated mice. Dietary CBD protects against inflammation and colitis symptoms induced by DSS, providing an alternative approach to IBD management.

Statisticam approaches for consistency index in analytical hierarchy process

This study presents a method for estimating a new Random Index (RI) value to determine the acceptance or rejection of matrices in the Analytic Hierarchy Process, using the Saaty scale. The proposed RI values are compared to the matrix consistency levels of other researchers who conducted experiments with similar numbers and matrix orders. In the case of 1000 experiments, our values showed a slight improvement compared to those of Golden and Wang. For the 2500-experiment case, our values were similar to those reported by Lane and Verdine. Lastly, in the 100,000-experiment case, our values exhibited a slight improvement compared to those obtained by Alonso and Lamata. We welcome further suggestions and encourage future research in this area.

An Evaluative Baseline for Sentence-Level Semantic Division

Semantic folding theory (SFT) is an emerging cognitive science theory that aims to explain how the human brain processes and organizes semantic information. The distribution of text into semantic grids is key to SFT. We propose a sentence-level semantic division baseline with 100 grids (SSDB-100), the only dataset we are currently aware of that performs a relevant validation of the sentence-level SFT algorithm, to evaluate the validity of text distribution in semantic grids and divide it using classical division algorithms on SSDB-100. In this article, we describe the construction of SSDB-100. First, a semantic division questionnaire with broad coverage was generated by limiting the uncertainty range of the topics and corpus. Subsequently, through an expert survey, 11 human experts provided feedback. Finally, we analyzed and processed the feedback; the average consistency index for the used feedback was 0.856 after eliminating the invalid feedback. SSDB-100 has 100 semantic grids with clear distinctions between the grids, allowing the dataset to be extended using semantic methods.

Evaluating Cronbach’s Coefficient Alpha and Testing Its Identity to Scale Reliability: A Direct Bayesian Confirmatory Factor Analysis Procedure

ABSTRACT A Bayesian statistics-based approach is discussed that can be used for direct evaluation of the popular Cronbach’s coefficient alpha as an internal consistency index for multiple-component measuring instruments, as well as for testing its identity to scale reliability. The method represents an application of confirmatory factor analysis within the Bayesian inference framework and is widely applicable in empirical measurement research using popular latent variable modeling software. The procedure readily furnishes posterior median point estimates and credible intervals of coefficient alpha. The approach also permits testing a necessary and sufficient condition for population equality of the alpha and scale reliability coefficients, and under its plausibility provides in addition a dependable means for estimation of instrument reliability. The outlined procedure is illustrated using numerical data.

Identification of rheological parameters for shallow water flows of viscoplastic fluids using elevation hydrographs

In this paper, rheological parameters, in particular yield stress and consistency index, for viscoplastic fluids are inferred from elevation hydrographs derived from experiments. The direct model consisting of shallow water equations with a Herschel–Bulkley rheology is used to simulate a fluid flowing down an inclined plane and past a cylindrical occlusion. Numerical simulations are validated with experimental and related results from the literature. The aim is to infer the unknown rheological parameters using hydrograph measurements in the contact line region between the fluid and the occlusion. The rheological identification problem is formulated to minimize an objective functional that measures the discrepancy between the elevation hydrographs from the model output and experimental data. The inverse solver is tested on both synthetic and laboratory data. The set of rheological parameters inferred is compared with the values measured on a rheometer for the fluid used in the experiments. Inference of the unknown flow quantities from the wetting free-surface data has direct applications not only in industrial settings, to predict the wetting dynamics, but also in geophysical ones for risk assessments and management plans.

Bearing capacity of the subgrade for high-speed train traffic

On the basis of theoretical research the problem of determining the bearing capacity of the main site of the earth bed poured from loess-like loam with regard to the action of vibrodynamic loads and reduction of strength properties of soils under its influence is solved. On the basis of solution of the theory of limit equilibrium it is possible to determine the deficit of bearing capacity, the value of which is the main indicator for a reasonable choice of design of reinforcement of the main site of the earth bed in order to increase its strength. On the basis of calculation of the earth bed strength, the variants of the earth bed construction are presented, providing the required strength of the earth bed made of loess-like loam with consistency index 0,21 &lt; JL ≤ 0,3, at high-speed train traffic. The presented transverse profiles can be recommended for application.

Optimización de una bebida con exudado de cacao Theobroma cacao L. CCN51 y suero láctico usando superficie respuesta

The aim of this research was to characterize rheologically a drink formulated and elaborated with exudate of cocoa (Theobroma cacao L.) CCN51 and lactic serum. The formulation was optimized using the response surface methodology for the attributes color, smell, taste and acceptability; subsequently, a multiple surface analysis was performed to determine the global optimal parameters by means of the desirability function. The results ensure that the proportion exudate and lactic serum should be 40/60 with 10% sucrose. The rheology of the beverage shows that it is a non-Newtonian fluid of the pseudoplastic type. In general, temperature and storage time have a significant effect on the flow index and consistency index. The proximal and microbiological chemical tests meet the standards, and the drink is suitable for human consumption. The rheological results of drinks based on cocoa exudate and lactic whey can be used as a parameter for quality control and sizing of machines, equipment, pipes, connections, filters, drive pumps and research provide knowledge for the use of agro-industrial residue. and the dairy industry.

Design and Implementation of Smart Teaching for Computer Courses in Colleges and Universities Enabled by Artificial Intelligence Technology

Abstract In this study, an intelligent decision support system for education was successfully constructed by integrating data mining techniques, evaluation similarity matrix and novel braided net clustering method. Based on the evaluation similarity matrix, this system brings together decision-making members with similar views through clustering analysis. It calculates these categorized groups’ preferences, consistency indexes, and decision values to derive the optimal solution. The research in this paper empirically validates the effectiveness of the intelligent decision support system against the background of actual teaching scenarios and with all students in their classes as the research subjects. The validation results show that in the Powerpoint Practical and PS Practical tests, the average scores of the students in the experimental class reached 87.1 and 86.2, respectively, and this score is significantly higher than that of the control class. In addition, in the Analysis of the four dimensions of pre-course learning behavior (including interest in learning, attitude toward learning, etc.), the mean values of the experimental class (4.46, 3.99, 3.89, 4.18) were also significantly higher than those of the control class (3.2, 2.73, 2.94, 2.89). The application of the Intelligent Decision Support System increased students’ learning interest and effectively improved their performance in both machine and written tests. The main effect of its teaching method is significant with an F-value of 18.029 and a P-value of less than 0.001. The results of this study confirm the practical application of intelligent decision support systems in teaching and learning, and provide a new methodology and perspective for computer-intelligent teaching.

Effects of Inhibitory Control on Academic Engagement of Tertiary Institutions’ Undergraduates in FCT Abuja, Nigeria.

The study investigated the effects of control inhibition on academic engagement of Tertiary Institutions Undergraduates in FCT Abuja, Nigeria. The study adopted quasi-experimental design, using pre-test, post-test and Control groups. Three research questions and corresponding hypotheses guided the study. The population of the study consisted of all undergraduates in FCT Tertiary institutions in Abuja (85,188).The sample size of the study consisted of 371 undergraduates who were drawn through multi-stage sampling. The Instrument used for data collection included a self-developed Academic Engagement survey instrument (UAES), it has two sections. Section A contained demographic information of the respondents while section B contained 17 items on academic engagement and psychological well-being. The instrument for the treatment is “Inhibitory Control Treatment” (ICT) adapted and modified. The instruments were subjected to reliability analysis using Cronbach Alpha to determine the internal consistency and reliability index of 0.78 and 0.68 respectively were obtained while the content validity was ascertained by three test experts yielded a consensus coefficient of 0.82 and 0.78. The data was analyzed using inferential statistics of paired sample t-test at α 0.05 level of significance. The study’s findings demonstrated that ICT is significantly effective in improving the academic engagement of the Undergraduates in FCT Tertiary institutions. It was recommended that Educational Psychologist should therefore; apply ICT in improving the academic engagement of the undergraduates.

Transcultural adaptation of Odia version of health-related kidney disease and quality of life-36 instrument

Objective: The study objective was to translate, validate, and test the reliability of the original kidney disease and quality of life-36 (KDQOL-36™) instruments in Odia. Materials and Methods: A cross-sectional design with a purposive sampling technique was used. According to RAND Corporation guidelines, initially, the items of the KDQOL-36™ questionnaires were translated into Odia by two independent, bilingual, professional translators, and then back-translated to English, followed by tryout and field testing. The experts validated the KDQOL-36™ instrument review committee for review related to kidney health conditions. The tool was implemented among 180 patients undergoing “maintenance” hemodialysis. The following tests evaluated reliability and validity: test–retest reliability with Cronbach’s alpha correlation (stability), (reliability) internal consistency, and contents validity index. Results: The Cronbach’s alpha value and intraclass correlation coefficient (ICC) score of all five domains, namely “physical component summary, mental component summary (MCS), the burden of kidney disease, symptoms and problems of kidney disease, and effects of kidney disease” of both KDQOL-36™ English and Odia (KDQOL-36-E™ and KDQOL-36-O™) version, recommended excellent homogeneity. A high positive correlation (r = 0.998) was found between the Odia version of KDQOL-36™ and the English version KDQOL-36™ questionnaire. The ICC score ranges from 0.889 to 0.997 at a 95% confidence interval for test–retest reliability, and Cronbach’s alpha was 0.832. Conclusion: This study explores the Odia version of KDQOL-36™ psychometric properties, depicted at an acceptable level of internal consistency. The KDQOL-36-O™ instrument is a valid and reliable tool for assessing the kidney disease-related quality of life in Odia-speaking hemodialysis patients.

Development and validation of a clinical prognostic model for BRAF V600E-mutated colorectal cancer patients based on pathological stage, microsatellite status, and primary tumor site.

To develop and validate a prognostic model for patients with BRAF V600E-mutated colorectal cancer. The clinical and pathological information of 206 patients with BRAF V600E-mutated colorectal cancer diagnosed in Cancer Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College from 2014 to 2021 was retrospectively collected. Least absolute shrinkage and selection operator (LASSO) regression, Cox regression, and nomograms were used to develop clinical prognostic models. The differentiation was measured using C-statistic, and the predicted variability was evaluated using the calibration curve. The prognostic model was externally validated using validation set data from 164 patients pooled from five studies. Our clinical prognostic model included three variables: pathological stage, microsatellite status, and primary tumor site. In internal validation, the model had a concordant index of 0.785 (95% CI [0.732-0.839]) and a concordant index of 0.754 (95% CI [0.698-0.810]) using pathological staging. External validation confirmed the robustness of the model with a consistency index of 0.670 (95% CI [0.617-0.724]) and a consistency index of 0.584 (95% CI [0.546-0.622]) using pathological staging. Likelihood ratio test results show that our model is better (internal validation, p = 5.141e-03; external validation, p = 2.728e-05). The calibration graph drawn based on the prediction and the actual situation is close to the 45° diagonal. By adding microsatellite status and primary tumor site on the basis of pathological stage, we improved the discriminability and prediction accuracy of the model and successfully established a prognosis model for patients with BRAF V600E mutation of colorectal cancer.

Comprehensive Investigation of m6A Regulators for Prognosis in Head and Neck Squamous Cell Carcinoma.

The early detection of head and neck squamous cell carcinoma (HNSCC) has an important impact on the clinical prognosis. N6-methyladenosine (m6A) is involved in the post-transcriptional regulation of tumorigenesis and development. In this study, the prognosis and biological functions of m6A regulator targets in HNSCC were explored. RNA-Seq expression data and clinical information from TCGA-HNSCC and GSE23036 datasets were collected. The mRNA levels of IGF2BP2 and IGF2BP3 in tumor tissues were significantly up-regulated. Differential expression and functional enrichment analysis of potential targets for IGF2BP2 and IGF2BP3 obtained from the m6A2Target database showed that they were significantly enriched in cell cycle-related pathways. The Cox regression analysis was performed to establish a three-mRNA signature including PLAU, LPIN1 and AURKA. The prognostic effect was verified in the external dataset GSE41613. Further studies revealed that the three-mRNA signature was significantly associated with survival in the clinical subgroup. The ROC curve, Harrell consistency index and decision curve comparison used to compare the predictive effect of the three-mRNA signature and the other signatures in previous studies showed that the three-mRNA signature had better predictive effect on the prognosis of HNSCC patients. The three-mRNA signature expression were verified in HNSCC cell lines with qRT-PCR and Western blot. Sequence analysis showed that m6A-modification sites existed on PLAU, LPIN1 and AURKA genes. In conclusion, the three-mRNA signature has been proved to be useful on evaluating the prognosis and contributing to the personalized treatment of HNSCC, and IGB2BP2/3 were related to the cell cycle in HNSCC.