Objective The combined entropy weight technique for order preference by similarity to an ideal solution(TOPSIS)and rank sum ratio(RSR)methods were utilized to rate the protective performance of ice hockey helmets,and the effectiveness and influencing factors of the rating system,as well as the relationship between protective performance and purchase price were explored.Methods The linear acceleration data during impact drops of twenty-four ice hockey helmets were collected using a uniaxial accelerometer in a collision test machine after low and ambient temperature treatments.The protective performance of ice hockey helmets was rated using the STAR model combined with the entropy weight TOPSIS and RSR methods.One-way ANOVA or the Kruskal-Wallis H test was employed to assess the differences in protective performance among helmets across different grade groups.The correlation between different indicators was analyzed by Pearson's correlation coefficient.Results The comprehensive protective performance ratings of the CCM TACKS 310,IBX,BAUD,and WARRIORS COVERT RS PRO helmets were classified as poor,whereas the BAUER REAKT 150,HYPERLITE,and REAKT 200 helmets were rated as excellent.The remaining helmets were rated as moderate.There was a moderate to high positive correlation between the ambient temperature STAR(A)and Rowson's STAR values,the comprehensive Ti and low temperature Ti,the comprehensive T,and ambient temperature Ti(P＜0.05).The comprehensive Ti satisfied the homogeneity of variance(P＞0.05)and exhibited significant differences among groups(P＜0.05).Significant differences were found in the low temperature indicators among different groups(P＜0.05),and their weight coefficients ranked among the top three.The ambient temperature indicators were not affected by the protective performance grade(P＞0.05).A weak positive correlation existed between the comprehensive Ti and purchase price(P＜0.05).Conclusions According to the energy absorption test protocol,the combined entropy weight TOPSIS and RSR methods can efficiently rate the comprehensive protective performance of ice hockey helmets.The effectiveness of using low temperature indicators for the comprehensive evaluation and rating of ice hockey helmet protective performance is superior to that of ambient temperature indicators and purchase price.Consumers are advised not to use price as a criterion for evaluating the comprehensive protective performance of ice hockey helmets.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objective The combined entropy weight technique for order preference by similarity to an ideal solution(TOPSIS)and rank sum ratio(RSR)methods were utilized to rate the protective performance of ice hockey helmets,and the effectiveness and influencing factors of the rating system,as well as the relationship between protective performance and purchase price were explored.Methods The linear acceleration data during impact drops of twenty-four ice hockey helmets were collected using a uniaxial accelerometer in a collision test machine after low and ambient temperature treatments.The protective performance of ice hockey helmets was rated using the STAR model combined with the entropy weight TOPSIS and RSR methods.One-way ANOVA or the Kruskal-Wallis H test was employed to assess the differences in protective performance among helmets across different grade groups.The correlation between different indicators was analyzed by Pearson's correlation coefficient.Results The comprehensive protective performance ratings of the CCM TACKS 310,IBX,BAUD,and WARRIORS COVERT RS PRO helmets were classified as poor,whereas the BAUER REAKT 150,HYPERLITE,and REAKT 200 helmets were rated as excellent.The remaining helmets were rated as moderate.There was a moderate to high positive correlation between the ambient temperature STAR(A)and Rowson's STAR values,the comprehensive Ti and low temperature Ti,the comprehensive T,and ambient temperature Ti(P＜0.05).The comprehensive Ti satisfied the homogeneity of variance(P＞0.05)and exhibited significant differences among groups(P＜0.05).Significant differences were found in the low temperature indicators among different groups(P＜0.05),and their weight coefficients ranked among the top three.The ambient temperature indicators were not affected by the protective performance grade(P＞0.05).A weak positive correlation existed between the comprehensive Ti and purchase price(P＜0.05).Conclusions According to the energy absorption test protocol,the combined entropy weight TOPSIS and RSR methods can efficiently rate the comprehensive protective performance of ice hockey helmets.The effectiveness of using low temperature indicators for the comprehensive evaluation and rating of ice hockey helmet protective performance is superior to that of ambient temperature indicators and purchase price.Consumers are advised not to use price as a criterion for evaluating the comprehensive protective performance of ice hockey helmets.

Objective To determine the acute effects of heel-to-toe drops(5,0,-11 mm)of running shoes on the loading of the patellofemoral joint and Achilles tendon(AT)in runners with patellofemoral pain(PFP)during running.Methods Sixteen runners with PFP completed a running test while wearing running shoes with different heel-to-toe drops.The retroreflective markers and ground reaction force were measured using an infrared motion capture system and a three-dimensional force plate.The patellofemoral joint stress(PFJS)and AT force were calculated based on biomechanical models of the patellofemoral joint and AT.Results When runners with PFP ran in negative-heel shoes,the PFJS(P<0.001)during 39%-47%of the stance phase,maximum PFJS,and cumulative PFJS(P<0.05)during the stance phase were lower than those in positive-heel shoes.Meanwhile,the AT force(P<0.001)during 12%-46%of the stance phase and cumulative AT force(P=0.001)during the stance phase were larger than those in positive-heel shoes.The AT force(P<0.001)during 12%-31%of the stance phase and cumulative AT force(P=0.023)during the stance phase in negative-heel shoes were higher than those in zero-heel shoes.Conclusions Compared with runners with positive-heel shoes,runners with PFP running in negative-heel shoes had decreased PFJS and cumulative PFJS.This may potentially reduce the risk of further development of PFP.However,compared with zero-and positive-heel shoes,running in negative-heel shoes increases the AT force and cumulative AT force.This may increase the risk of AT injury.Runners with PFP are recommended to undergo acclimatization before shifting to negative-heel shoes.This would limit further progression of PFP without increasing the risk of AT injury.

Objective To determine the acute effects of heel-to-toe drops(5,0,-11 mm)of running shoes on the loading of the patellofemoral joint and Achilles tendon(AT)in runners with patellofemoral pain(PFP)during running.Methods Sixteen runners with PFP completed a running test while wearing running shoes with different heel-to-toe drops.The retroreflective markers and ground reaction force were measured using an infrared motion capture system and a three-dimensional force plate.The patellofemoral joint stress(PFJS)and AT force were calculated based on biomechanical models of the patellofemoral joint and AT.Results When runners with PFP ran in negative-heel shoes,the PFJS(P<0.001)during 39%-47%of the stance phase,maximum PFJS,and cumulative PFJS(P<0.05)during the stance phase were lower than those in positive-heel shoes.Meanwhile,the AT force(P<0.001)during 12%-46%of the stance phase and cumulative AT force(P=0.001)during the stance phase were larger than those in positive-heel shoes.The AT force(P<0.001)during 12%-31%of the stance phase and cumulative AT force(P=0.023)during the stance phase in negative-heel shoes were higher than those in zero-heel shoes.Conclusions Compared with runners with positive-heel shoes,runners with PFP running in negative-heel shoes had decreased PFJS and cumulative PFJS.This may potentially reduce the risk of further development of PFP.However,compared with zero-and positive-heel shoes,running in negative-heel shoes increases the AT force and cumulative AT force.This may increase the risk of AT injury.Runners with PFP are recommended to undergo acclimatization before shifting to negative-heel shoes.This would limit further progression of PFP without increasing the risk of AT injury.

With the rapid development of clinical trials, the relevant medical research and molecular detection based on biological samples are closely related to the progress of clinical trials, making the role of biological samples in clinical trials increasingly obvious. The standardized supervision mode of biological samples is an important prerequisite for carrying out high-quality clinical trials. Although the laws and regulations related to clinical trials are becoming more and more perfect, there are still a large number of adverse events related to biological samples, which seriously affects the progress and results of clinical trials, and is one of the important challenges currently facing. Therefore, it is urgent to enhance the supervision of biological samples and improve the management methods of biological samples in clinical trials at this stage. Through in-depth discussion of the current status of biological sample management in clinical trials at home and abroad, this paper analyzed the issues existed during the supervision of biological samples, and supplemented the biological sample management methods by further combing the existing relevant laws and regulations and the Guidelines for the Ethical Management of Biological Samples in Clinical Trials, with a view to providing suggestions and ideas for optimizing the management mode of biological samples in clinical trials.

ObjectiveTo compare the retest reliability and discriminant validity of dynamic postural stability indices for functional ankle instability (FAI) obtained by different algorithms based on acceleration signals at different positions of human body. MethodsFrom April to June, 2021, 21 subjects with unilateral FAI and 21 subjects with normal ankle were recruited. Three inertial sensors were attached to the waist points, knee and ankle positions. The ground reaction force (GRF) and kinematics data of the subjects in multi-direction single leg landing test were collected synchronously by 3D force plate and inertial sensors. The unbounded third order polynomial (UTOP) fitting method was used to calculate the stability time, and the root mean square was used to caculate the stability index. ResultsMost of the indicators calculated based on acceleration signal correlated with that based on GRF with low coefficient (|r| = 0.116 to 0.368, P < 0.05). The stability time and stability index based on the acceleration signals of different positions of human body showed low to high retest reliability (CMC 0.30 to 0.91). For the females, among the stability time based on acceleration signal, eleven indexes achieved average to very high discriminant validity (AUC = 0.702 to 0.942, P < 0.05); eight of the stability indexes reached general level of discriminant validity (AUC = 0.717 to 0.782, P < 0.05). No algorithms achieved good discriminant effect in male subjects. ConclusionBased on the acceleration signal of waist point in single-leg landing stability test, the stability time calculated by UTOP algorithm can evaluate the dynamic postural stability of female FAI patients with high discriminant validity and medium to high retest reliability.

Objective: To develop a simplified Rating Questionnaire of Social Ecological Risks in Adolescents and to evaluate the reliability and predictive validity of the brief questionnaire, so as to provide data and evidence support for building the evaluation system of cumulative social ecological risk exposure. Methods: A large cross sectional was conducted in eight areas, including Shenzhen, Zhengzhou, Xuzhou, Nanchang, Shenyang, Taiyuan, Kunming and Chongqing, from October to December 2021. A total of 22 868 adolescents were included in the analysis. Data on healthy behaviors from 10 838 adolescents from Shenyang, Taiyuan, Kunming, Chongqing were used for item selection, based on factor analysis, validity and reliability evaluation. The data from Shenzhen, Zhengzhou, Xuzhou, Nanchang, including 12 030 adolescents, were used to define the partition values of the brief questionnaire, and evaluate the predictive validity. Results: The brief questionnaire containing 25-item were developed by analyzing and choosing all items of original questionnaire, and covered seven dimensions including individual, family, school, community, policy, time and culture. The cumulative contribution rate of variance was 54.95%, the Cronbach coefficient was 0.79, and the split half coefficient was 0.70. Participants in the higher risk group had significantly higher risk of smoking ( OR =4.05, 95% CI = 2.78 -5.92), drinking ( OR =3.47, 95% CI =2.86-4.19), suicidal ideation ( OR =8.85, 95% CI =7.68-10.21), suicidal plans ( OR = 8.85, 95% CI =7.27-10.78), suicidal attempt ( OR = 8.86 , 95% CI =6.67-11.78) than individual in the lower risk group ( P < 0.05). After stratified by gender, the above positive correlations still remained significant( P <0.05). Conclusion The brief questionnaire, with good reliability and predictive validity, could be widely applicated in the further researches on social ecological risk factors.

ObjectiveTo compare the effects of proprioceptive neuromuscular facilitation (PNF) and whole body vibration training (WBVT) on functional ankle instability (FAI). MethodsFrom May to July, 2021, 17 male FAI undergraduates from Beijing Sport University received PNF (n = 8) and WBVT (n = 9), for six weeks. They were assessed with Y-balance test, Pro-Kin, Kistler and Motion Analysis Raptor before and after invention, to observe Y-balance score, average trajectory error, kinematics and dynamics after jump-landing of affected limb. ResultsThe main effect of training was not significant for all the Y-balance score, average trajectory error, kinematics and dynamics (F < 4.090, P > 0.05). However, the interactive effect of training and time was significant for the range of motion of ankle flexion (F = 6.232, P = 0.030), and the effect size was more for PNF; it was also significant for the time arriving peak ground reaction force (left-right) after landing (F = 10.674, P = 0.008), and the time was latter for WBVT (P < 0.05). ConclusionPNF and WBVT are similarly effective on FAI.