Correlation Coefficient Research Articles

Influence of Motivation Climate on Service-Learning Benefits among Physical Education Students

<p style="text-align: justify;">Service-learning (SL) emphasizes the fusion and integration of community service and academic learning, while Physical Education (PE) is oriented towards community health and well-being, aligning with Sustainable Development Goals. The study's primary objective is to discern the benefits perceived by PE students when engaged in SL courses and to test the correlation between benefits and the motivational climate they experience. Additionally, the research explores potential gender-specific variations in students' attitudes. The research was conducted with a survey on a sample of 58 students responding to a Motivational Climate in Physical Education Scale (MPCES) and the SErvice LEarning Benefit Scale (SELEB), which assesses the motivation of students and their perceptions of SL benefits. Descriptive statistics was used to analyse the data. Pearson's correlation coefficient was used to test the relationship between the core constructs - SL benefits and student motivation, and t-tests to evaluate gender differences in SL benefits. Key findings underscore that students primarily perceived the greatest advantages from SL in the domain of knowledge application, with comparatively lower scores in general life skills. Notably, female students, on the whole, exhibited higher ratings in both SL benefits and student motivation compared to their male counterparts. Nonetheless, specific exceptions emerged in certain sub-scales, including social relatedness and ego climate within the MPCES scale, as well as critical thinking within the SELEB scale. According to the results, it is suggested that cultivating a student-centered learning environment can augment engagement and motivation in the realm of physical education (PE). Furthermore, the delineated gender differences offer valuable insights for educators, highlighting the need for tailored approaches to accommodate the diverse preferences and requirements of male and female students.</p>

Identification of Cortex Cercis chinensis Decoction Pieces from Different Growth Origins Using Raman Spectroscopy

The complexity of traditional Chinese medicine (TCM) components and the time-consuming of traditional detection methods make it necessary and meaningful to establish rapid and efficient identification techniques. This study explores the potential of Raman spectroscopy, a non-destructive technique offering details of molecular structure, for rapid and accurate identification. Cortex Cercis chinensis (CCC) decoction pieces from diverse geographical origins, Anhui, Sichuan, Zhejiang, and Hubei, were collected and analyzed using Raman spectroscopy at 785 nm, and the Raman characteristic peaks were analyzed. MATLAB software was employed to analyze the similarity between the spectra of CCC decoction pieces, and the original Raman spectral data were transformed into first and second derivative spectra. The results revealed distinct Raman spectral characteristics of carbohydrates and glycosidic bonds (characteristic peaks at 480, 531, 549, 873, 946 and 1086 cm−1). The correlation coefficients of the all the four samples from different origins ranged from 0.9625 to 0.9912, while the coincidence coefficients ranged from 0.9602 to 0.9934. The first and second derivative demonstrated significantly different peaks within specific ranges, 180–200, 280–380, and 680–740 cm−1 for first derivatives, 160–300, 340–400 and 420–480 cm−1 for second derivatives. These obvious differences in first and second derivative spectra of Raman spectra of CCC decoction pieces demonstrated the different growth origins. In conclusion, the study demonstrated the ability of Raman spectroscopy to accurately differentiate CCC decoction pieces from different geographical growth origin. These findings provided a basis for further application of Raman spectra characteristic fingerprints to be used in quality control for rapid identification of the quality and origin of TCM raw materials.

A site-wise reliability analysis of the ABCD diffusion fractional anisotropy and cortical thickness: impact of scanner platforms.

The Adolescent Brain and Cognitive Development (ABCD) project is the largest study of adolescent brain development. ABCD longitudinally tracks 11,868 participants aged 9-10 years from 21 sites using standardized protocols for multi-site MRI data collection and analysis. While the multi-site and multi-scanner study design enhances the robustness and generalizability of analysis results, it may also introduce non-biological variances including scanner-related variations, subject motion, and deviations from protocols. ABCD imaging data were collected biennially within a period of ongoing maturation in cortical thickness and integrity of cerebral white matter. These changes can bias the classical test-retest methodologies, such as intraclass correlation coefficients (ICC). We developed a site-wise adaptive ICC (AICC) to evaluate the reliability of imaging-derived phenotypes while accounting for ongoing brain development. AICC iteratively estimates the population-level age-related brain development trajectory using a weighted mixed model and updates age-corrected site-wise reliability until convergence. We evaluated the test-retest reliability of regional fractional anisotropy (FA) measures from diffusion tensor imaging and cortical thickness (CT) from structural MRI data for each site. The mean AICC for 20 FA tracts across sites was 0.61±0.19, lower than the mean AICC for CT in 34 regions across sites, 0.76±0.12. Remarkably, sites using Siemens scanners consistently showed significantly higher AICC values compared to those using GE/Philips scanners for both FA (AICC=0.71±0.12 vs 0.46±0.17, p<0.001) and CT (AICC=0.80±0.10 vs 0.69±0.11, p<0.001). These findings demonstrate site-and-scanner related variations in data quality and underscore the necessity for meticulous data curation in subsequent association analyses.

Development of the Reasoning Ways Scale: Validity and Reliability Study

The aim of this study was to develop a valid and reliable measurement tool to determine the reasoning ways of university students. The study was carried out in two separate stages consisting of the pilot and main application in the 2020-2021 academic year. In the main application, the analysis was made on the data obtained from 378 university students. Exploratory and Confirmatory Factor Analysis was performed for the construct validity of the scale; Average Explained Variance [Average Variance Extracted (AVE)], square root of AVE, Composite Reliability [CR], Maximum Shared Variance [Maximum Squared Variance (MSV)], Average Squared Shared Variance [(Average Shared Square Variance (ASV)] and inter-construct correlations were calculated for convergent and divergent validities. The Cronbach’s alpha internal consistency and CR coefficients were calculated to examine the reliability. The Exploratory and Confirmatory Factor Analysis results showed that the scale had a seven-factor structure (deductive, inductive, analogical, heuristic, algebraic, historical, and verbal) and consisted of 21 items. Convergent and divergent validity of the scale was proved by examining AVE, square root of AVE, CR, MSV, ASV values, and inter-construct correlation coefficients. Cronbach’s alpha and composite reliability coefficients which were calculated for the whole scale and each sub-dimension indicated that the scale was reliable. The results reveal that the Reasoning Ways Scale is a valid and reliable measurement tool.

Concordance between methods of estimating body fat in pediatric and adolescent age.

Background and objective: The percentage of fat (%BF), essential data in the health or nutrition field, can be estimated by different methods. This work compares the %BF values obtained by anthropometry, Near Infrared Interactance (NIR), and Bioimpedance Analysis (BIA), in childhood and adolescence. Material and Methods: The sample consisted of 1015 schoolchildren aged 9 to 16 years. Height, weight, and four adipose folds were measured: tricipital, bicipital, subscapular, and suprailiac. The %BF by anthropometry was calculated using a specific formula based on body density (BD). A tetrapolar analyzer was used for the BIA calculation. The optical density in the biceps was measured for the one observed by NIR. Results: The high correlation and determination coefficients show that the relationship between %BF by anthropometry, BIA, or NIR is very strong, mainly between the first two. The intraclass correlation coefficient (ICC) results between Anthropometry and BIA show an almost perfect agreement. Its graphical contrast attests that the correlation is higher in the male sex. In general, the agreement between Anthropometry and BIA is higher than between Anthropometry and NIR. Conclusions: The three techniques used to measure %BF show high concordance. All ICC values between pairs of methods are above 0.90. The comparison of %BF by anthropometry with BIA or NIR shows that the affinity is higher in intermediate adiposity percentages than in extreme ones. This trend occurs in both sexes and age groups.

Accuracy of Fasting Blood Glucose and Body Mass Index in Predicting Gestational Diabetes Mellitus in China.

Research suggests that lowering maternal morbidities associated with gestational diabetes mellitus (GDM) can be achieved with earlier risk group identification. Therefore, the purpose of this study was to examine potential markers for identifying first-trimester pregnant women who are at high risk for developing GDM. This was a retrospective cohort study. The pertinent maternal clinical data were retrieved prior to 13+6 weeks of gestation, and a binary logistic regression analysis was used to identify potential GDM predictors. The predictive accuracy was evaluated using the area below the receiver operating characteristics curves. In comparison to the control group, the GDM group had significantly higher mean values for age, body mass index (BMI), mean fasting blood glucose (FBG), and hemoglobin (p < 0.05). The Pearson's correlation coefficients indicated that the first-trimester FBG was significantly positively correlated with the second-trimester FBG. Higher FBG and BMI values were associated with an increased risk of developing GDM (odds ratio [OR] = 3.04, 95% confidence interval [CI] = 2.03-4.55 and OR = 1.18, 95% CI = 1.12-1.25). In terms of predicting GDM, the FBG parameter demonstrated the greatest area under the curve values (0.66), followed by the BMI parameter (0.69). For GDM prediction, the cut-off value for FBG was 4.32 mM, whereas that for BMI was 23.7 kg/m2. The first-trimester FBG and BMI could be utilized to predict gestational diabetes.

Validity of severity of dependence scale-Indonesia in patients with drug and alcohol dependence

A quick and self-administrative screening tool to detect dependence on various substances is vital in the early detection of multiple substance dependence. This study aimed to validate the severity of the dependence scale Indonesian version (SDS-Ina) in a sample of clinically diagnosed substance-related disorder subjects. The study was an observational study and rapid assessment of suspected patients with drug and alcohol dependence in an outpatient psychiatric unit in Yogyakarta, Indonesia. The translated severity of dependence scale-Indonesia (SDS-Ina) questionnaire was given out to 65 subjects through an online form. The content validity of the translated SDS was assessed with Aiken’s V, and concurrent validity was analyzed in comparison to the Diagnostic of Statistical and Manual Mental Disorder IV (DSM-IV) diagnosis criteria with Pearson correlation coefficient and factor validity through principal component analysis (PCA). Reliability was assessed using Cronbach’s Alpha and test-retest reliability. Aiken’s V index concluded that our content validity was valid (all&amp;gt;0.75). A Pearson correlation coefficient of=0.93 (P&amp;lt;0.001), PCA of all items ≥0.60 further validates the SDS-Ina. Internal reliability of Cronbach’s Alpha 0.907 and test-retest reliability (intraclass correlation coefficient (ICC): all≥0.75). In conclusion, the translated SDS is a valid and reliable tool to measure the psychological dependence of Indonesian subjects involved in this study.

The Association of County-level Prostate-specific Antigen Screening with Metastatic Prostate Cancer and Prostate Cancer Mortality

Background and objectiveThere exists ongoing debate about the benefits and harms of prostate-specific antigen (PSA) screening for prostate cancer. This study sought to evaluate the association of county-level PSA screening rates with county-level incidence of metastatic prostate cancer and prostate cancer mortality in the USA. MethodsThis ecological study used data from the 2004–2012 Behavioral Risk Factor Surveillance System (BRFSS) to build a multilevel mixed-effect model with poststratification using US Census data to estimate county-level PSA screening rates for all 3143 US counties adjusted for age, race, ethnicity, and county-level poverty rates. The exposure of interest was average county-level PSA screening rate from 2004 to 2012, defined as the proportion of men aged 40–79 yr who underwent PSA screening within the prior 2 yr. The primary outcomes were county-level age-adjusted incidence of regional/distant prostate cancer during 2015–2019 and age-adjusted prostate cancer mortality during 2016–2020. Key findings and limitationsA total of 416221 male BRFSS respondents aged 40–79 yr met the inclusion criteria and were used in the multilevel mixed-effect model. The model was poststratified using 63.4 million men aged 40–79 yr from all 3143 counties in the 2010 Decennial Census. County-level estimated PSA screening rates exhibited geographic variability and were pooled at the state level for internal validation with direct BRFSS state-level estimates, showing a strong correlation with Pearson correlation coefficients 0.77–0.90. A 10% higher county-level probability of PSA screening in 2004–2012 was associated with a 14% lower county-level incidence of regional/distant prostate cancer in 2015–2019 (rate ratio 0.86, 95% confidence interval [CI] 0.85–0.87, p < 0.001) and 10% lower county-level prostate cancer mortality in 2016–2020 (rate ratio 0.90, 95% CI 0.89–0.91, p < 0.001). Conclusions and clinical implicationsIn this population-based ecological study of all US counties, higher PSA screening rates were associated with a lower incidence of regional/distant prostate cancer and lower prostate cancer mortality at extended follow-up. Patient summaryUS counties with higher rates of prostate-specific antigen (PSA) screening had significantly lower rates of metastatic prostate cancer and prostate cancer mortality in subsequent years. These data may inform shared decision-making regarding PSA screening for prostate cancer.

Pediatric Asthma Therapy Assessment Questionnaire for the Brazilian population: Cross-cultural adaptation and measurement properties.

To cross-culturally adapt the Pediatric Asthma Therapy Assessment Questionnaire (ATAQ) into Brazilian Portuguese and analyze its measurement properties. This exploratory methodological study included eight experts and 30 caregivers in the translation and cross-cultural adaptation steps. Thereafter, 118 caregivers of pediatric patients with asthma aged between 5 and 17 years were involved in the analysis of measurement properties. We analyzed the content, structural (exploratory and confirmatory factorial), construct (convergent and discriminant), and known-groups validities; floor and ceiling effects; and determined the cut-off point (receiver operator characteristic curve) to identify pediatric patients with uncontrolled asthma. Intraclass correlation coefficient (ICC) analyzed test-retest reliability with 54 caregivers, whereas Cronbach's α and composite reliability verified the internal consistency of the items. The committee of experts and caregivers found the instructions and response options relevant, understandable, and clear (K > 0.75). During the cross-cultural adaptation, three items (2, 4, and 12) were slightly modified by including terms to facilitate understanding. A two-factor structure (asthma control and patient-provider communication) was identified. Internal consistency (α > .67; composite reliability > 0.73) and test-retest reliability (ICC > 0.80) were acceptable. For construct and know-groups validities, 85.71% of the hypothesis were confirmed. A cut-off point of >3 for the control domain was considered adequate to identify pediatric patients with uncontrolled asthma (sensitivity: 86.21%; specificity: 80.90%). The Pediatric ATAQ was adequately adapted for Brazilian pediatric patients with asthma and produced valid and reliable measures for assessing asthma control. Therefore, it may be considered an adequate instrument for monitoring asthma control in the Brazilian pediatric population.

간호대학생의 환자 개인정보보호 인식, SNS 중독경향성, 간호정보활용 역량이 간호전문직관에 미치는 영향

Objectives This study was conducted to provide basic data necessary for the formation of nursing professional values by identifying the effects of nursing students' awareness of patient personal information protection, SNS addiction tendency, and nursing information literacy competency on nursing professional values. Methods A structured self-report questionnaire was used to measure awareness of patient personal information protection, SNS addiction tendency, and nursing information literacy competency to nursing professional values. Data were collected from January 3 to January 20, 2023. Participants were 200 nursing students studying in 1 uni-versity within Gumi Province. Data were analyzed using Independent t-test, ANOVA, Pearson correlation co-efficients, and Hierarchical Multiple regression with the SPSS Statistic 27.0 program. Results The general characteristics that showed significant differences in nursing professional vlaues of nursing students were the average daily use of SNS(F=8.19, p&lt;.001), and the necessity of patient personal information protection education(F=3.21, p&lt;.05). Awareness of Patient Personal Information Protection(r=.529, p&lt;.001) and nursing Information Literacy Competency(r=.647 p&lt;.001) showed a significant positive correlation, and SNS ad-diction tendency(r=.148, p&lt;.05) showed a weak positive correlation. Through Model 2, in which significant general characteristics were input as control variables and independent variables were added, it was found that nursing Information Literacy Competency and awareness of Patient Personal Information Protection had a high influence on nursing professional vlaues of nursing students in that order, and the explanatory power was 47.5%. In other words, the higher the nursing Information Literacy Competency and the higher the awareness of personal in-formation protection, the higher nursing professional vlaues. Conclusions Based on the results of this study, in order to form a nursing professional values for nursing students living in the era of the Fourth Industrial Revolution, it is necessary to develop the ability to utilize nursing in-formation, manage patients' personal information with high protection awareness, and actively utilize the net function of SNS through real-time access to share new information and form relationships with others as a professional.

PDHL-MARCOS method based on cumulative prospect theory for MAGDM and its application in network security evaluation

The increasingly large and complex network brings convenience to our life and production, but it also brings potential dangers. Any minor vulnerability may lead to failure of application software configuration, software maintenance, user management and system management. Eventually, our network is interrupted, and even life and production data are leaked. Therefore, establishing a scientific and effective network security evaluation model is an effective way to supervise, manage and improve network security; It is also an effective measure to reduce the loss of life and production. Therefore, we first selected six factors closely related to network security to form a complete network security evaluation index system. Then, the utility function in the traditional measurement of alternatives and ranking according to compromise solution (MARCOS) method is improved by using the value function in cumulative prospect theory (CPT), and a PDHL-MARCOS evaluation model that can reflect the decision-makers’ (DMs’) attitudes towards gains and losses is obtained in the probabilistic double hierarchy linguistic term set (PDHLTS). In addition, the relative entropy (RE) method is also used to obtain expert weights. The combination weights of attributes are obtained using the correlation coefficient and the standard deviation (CCSD) method and the weight function in CPT.

High variability in physician estimations of flow-diverting stent deployment versus PreSize Neurovascular software simulation: a comparison study

BackgroundPhysician variablity in preoperative planning of endovascular implant deployment and associated inaccuracies have not been documented. This study aimed to quantify the variability in accuracy of physician flow diverter (FD)...

Analyzing meteorological parameters using Pearson correlation coefficient and implementing machine learning models for solar energy prediction in Kuching, Sarawak

Solar energy is one of the clean renewable energy sources that can offset the rising consumption of fossil fuels. However, the meteorological parameters, such as solar irradiance, ambient and solar module temperatures, relative humidity, etc., constantly change, and so does the solar power generation. Such variations cause instability in the power grid operation due to injecting an unpredicted amount of power. Hence, solar energy prediction models capable of learning from past weather data and predicting future energy generation are highly desired for grid operation and planning. The objective of this study is to determine the suitable meteorological parameters for the solar energy prediction model based on the Pearson correlation coefficient and to implement them in different machine learning models. It is found in this study that five meteorological parameters, namely Air temperature, cloud opacity, global tilted irradiance, relative humidity, and zenith angle, correlate highly with solar energy generation. Later, based on the correlations, four machine-learning models were implemented to predict the solar power for Kuching, Sarawak. The accuracy of the models is measured through standard matrices such as root mean square error, mean square error, mean absolute error, and R-squared value.

Financial deepening on income inequality: A quantitative meta-analysis study

AbstractThere exists a vast empirical literature on Financial Sector Development (FSD) and the income inequality nexus; however, it lacks consensus. To study this, 24 studies with 87 regression estimates on financial institution depth and income inequality were collected. This paper used the most common method of economic meta-analysis, the Partial Correlation Coefficient (PCC), to answer the question: What is the magnitude and impact, if any, of financial institution depth on income inequality? In addition, a multivariate meta-regression model was used to find moderator variables that produced mixed results in the literature. The results show that the global average comovement of financial institution depth (domestic credit) on income inequality is very small but positive; suggesting that growth in domestic credit may widen income inequality. The positive correlation between domestic credit and income inequality highlights how financial institutions use household income and collateral as a signal when deciding on credit applications. Finally, the multivariate regression results suggest that the present heterogeneity within the literature stems from different methodologies and control variables included in the econometric models, and panel studies that mix countries with heterogeneous characteristics. These suggest that different components of FSD may impact income inequality differently.

Mapping Opium Poppy Cultivation: Socioeconomic Insights from Satellite Imagery

Over 30 million people globally consume illicit opiates. In recent decades, Afghanistan has accounted for 70–90% of the world’s illicit supply of opium. This production provides livelihoods to millions of Afghans, while also funneling hundreds of millions of dollars to insurgent groups every year, exacerbating corruption and insecurity, and impeding development. Remote sensing and field surveys are currently used in official estimates of total poppy cultivation area. These aggregate estimates are not suited to study the local socioeconomic conditions surrounding cultivation. Few avenues exist to generate comprehensive, fine-grained data under poor security conditions, without the use of costly surveys or data collection efforts. Here, we develop and test a new unsupervised approach to mapping cultivation using only freely available satellite imagery. For districts accounting for over 90% of total cultivation, our aggregate estimates track official statistics closely (correlation coefficient of 0.76 to 0.81). We combine these predictions with other grid-level data sources, finding that areas with poppy cultivation have poorer outcomes such as infant mortality and education, compared to areas with exclusively other agriculture. Surprisingly, poppy-growing areas have better healthcare accessibility. We discuss these findings, the limitations of mapping opium poppy cultivation, and associated ethical concerns.

Evaluation of the effects of the application of Ti−C:H DLC coatings obtained by PVD techniques in the kinematic pairs of internal combustion engines and powertrain systems.

The article attempts to analyze the possible effects of using Ti−C:H DLC carbon coatings produced by pulsed magnetron sputtering (PVD) to reduce friction coefficient and wear in kinematic pairs found in internal combustion engines and powertrain systems used in automotive vehicles. The aim of such action is primarily to reduce internal losses in the aforementioned units. The coatings were deposited on heat-treated bearing steel 100Cr6, examined using a scanning electron microscope FEI Quanta 200 Mark II with the chemical analyzer EDS EDAX Genesis XM 2i, tribotester T−01M examining the friction coefficient in the ball-disc correlation and Hommel Werke T8000 profilometers, additionally, in order to check the coating thickness, studies were carried out using the Calotest method. The results obtained indicate that both the friction coefficient and wear are drastically reduced in relation to samples on which no DLC coatings were applied.

Feasibility of Remote Blood Pressure Estimation via Narrow-band Multi-wavelength Pulse Transit Time

Contact-free sensing gained much traction in the past decade. While remote monitoring of some parameters (heart rate) is approaching clinical levels of precision, others remain challenging (blood pressure). We investigated the feasibility of estimating blood pressure (BP) via pulse transit time (PTT) in a novel remote single-site manner, using a modified RGB camera. A narrow-band triple band-pass filter allowed us to measure the PTT between different skin layers, harvesting information from green and near-infrared wavelengths. The filter minimizes the inter-channel influence and band overlap, however, some overlap remains within the filter bands. We further resolve this using a color-channel model and a novel channel-separation method. Using the proposed setup and algorithm, we obtained multi-wavelength (MW) PTTs in an experiment inducing BP changes to 9 subjects. The results showed good absolute Pearson’s correlation coefficient between both MW PTT and systolic BP (R = 0.61, p = 0.08) as well as diastolic BP (R = 0.54, p = 0.05), pointing to feasibility of the proposed novel remote MW BP estimation via PTT. This was further confirmed in a leave-one-subject-out experiment, where a simple Random Forest regression model achieved mean absolute errors of 3.59 and 2.63 mmHg for systolic and diastolic BP respectively.

Translation, cross-cultural adaptation and psychometric properties of the Urdu version of the back pain functional scale in low back pain patients.

Translation and validation of important scales in other languages reduce bias in reporting the functional status of the patient. To translate the Back Pain Functional Scale into Urdu (BPFSu), adapt it for use in other cultures, and evaluate its psychometric properties. According to Beaton guidelines, translation and cultural adaption was carried out. On 100 Urdu-literate men and women aged 18-60years with lower back pain, the final BPFSu was assessed for psychometric qualities. First at baseline and again after 7days, participants completed the BPFSu, the Functional Rating Index (FRI), and the Numeric Pain Rating Scale (NPRS). Internal consistency of the BPFSu was excellent (Cronbach's alpha: 0.937). No floor and ceiling effects were found Excellent test-retest reliability (ICC = 0.882, CI 95%; 0.830-0.919) was achieved. Spearman correlation coefficient showed criterion validity with the NPRS (rho =â⁢⁢0.701, p⩽ 0.001) and Pearson correlation coefficient showed construct validity with the FRI (r=â⁢⁢0.740, p⩽ 0.001). The minimum detectable changes were 9.96, while the standard error of measurement was 3.6. The BPFSu is a valid and reliable instrument for assessing physical function in individuals experiencing low back discomfort.

Exact detection thresholds and minimax optimality of Chatterjee’s correlation coefficient

Exact detection thresholds and minimax optimality of Chatterjee’s correlation coefficient

Determination of hexogen recovered from scrapped 2-chlorobenzalmalononitrile mixed explosives by gas chromatography

This study focuses on the extraction of Hexogen (RDX) from decommissioned CS mixed explosives using the Soxhlet extraction method. Recrystallization using a solution of rtnanol is utilized to purify the extract and remove impurities, such as CS. Qualitative analysis is conducted using Fourier transform infrared spectroscopy and a melting point tester. Additionally, gas chromatography is employed for qualitative and quantitative analysis of the recovered RDX. The experimental results demonstrate that the recovered RDX exhibits a strong linear relationship at concentrations ranging from 500 mg/L to 6000 mg/L, with a correlation coefficient of r = 0.9999 and a relative standard deviation (RDS) of ≤5% (n = 6). Furthermore, the purity of the recovered RDX can reach 100% through secondary recrystallization using ethanol. The quantitative analysis of RDX by gas chromatography offers the advantages of operating cylinder, high accuracy and high sensitivity.