ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

Objective: This study aimed to explore the relationships between various exercise components (frequency, intensity, duration) and social anxiety. Methods: A sample of 844 college students in China participated in this study. The Physical Activity Rating Scale-3 assessed participants’ daily physical activity. Social anxiety levels were measured using the Liebowitz Social Anxiety Scale. A questionnaire was developed to collect demographic information and examine the relationships between exercise components and social anxiety levels. Results: One-way analysis of variance revealed significant differences in social anxiety levels across varying physical activity intensities. Specifically, students engaging in high levels of physical activity exhibited the lowest social anxiety. Post hoc analyses identified that exercise frequency F3 (p<0.01), exercise duration D5 (p<0.01), and exercise intensity I3 (p<0.01) were significantly associated with the lowest social anxiety levels. Among these components, regression analysis indicated that exercise duration (p<0.01) had the most substantial impact on social anxiety levels, followed by exercise frequency (p<0.05). In contrast, exercise intensity (p>0.05) did not significantly affect social anxiety levels. Conclusion The most influential factors associated with decreased social anxiety were: 1) moderate to high exercise intensity, 2) exercise duration of at least one hour, and 3) exercise frequency of at least 1–2 times per week. Among these factors, exercise duration and frequency demonstrated significantly stronger associations with reduced social anxiety. Therefore, it is advisable to prioritize exercise duration and frequency in physical activity programs for college students to reduce social anxiety and achieve more substantial outcomes.

OBJECTIVE To provide a reference for optimizing and promoting the quality standards of Shechuan naolitong granules. METHODS Fifteen batches of Shechuan naolitong granules were used as samples to establish HPLC fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. Similarity evaluation and common peak identification were performed， and orthogonal partial least squares discriminant analysis （OPLS-DA） was used to assess quality differences among different batches and to screen quality differential components. Using salvianolic acid B（SAB） as the internal reference， quantitative analysis of multi-components by single-marker （QAMS） was developed to simultaneously determine geniposidic acid （GA）， chlorogenic acid （CA）， vaccarin （VA）， ferulic acid （FA） and senkyunolide I （SI）. The results were compared with those obtained by the external standard method. RESULTS A total of 13 common peaks were identified in the HPLC fingerprints of 15 batches of samples， and the similarities of the spectra were all above 0.96. Seven chromatographic peaks were identified as GA （peak 3）， CA （peak 6）， VA （peak 8）， FA （peak 9）， SI （peak 11）， SAB（peak 12） and TA（peak 13）. OPLS-DA indicated that the differential quality markers among 15 batches were peaks 5， 11 （SI）， and 12 （SAB）.Using SAB as the internal reference， the relative correction factors for GA， CA， VA， FA and SI were calculated as 1.058 4， 0.594 3， 0.643 3， 0.342 7 and 0.262 8， respectively. The mean content of GA， CA， VA， FA， SI and SAB across the 15 batches of samples were 0.155 0， 0.085 4， 0.140 3， 0.071 8， 0.072 7， 1.276 3 mg/g， respectively， showing no significant difference compared with the ESM （P＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS are simple， efficient and economical， providing a reference for the quality control and further development of Shechuan naolitong granules.

Objective To investigate the prediction of diffusion kurtosis imaging(DKI)and intra voxel incoherent motion(IVIM)imaging global histogram parameters for the efficacy of neoadjuvant chemotherapy(NAC)in patients diagnosed with breast invasive ductal carcinoma.Methods A total of 69 patients with breast invasive ductal carcinoma confirmed by penetration pathology were retrospectively selected.Prior to undergoing NAC,all patients underwent sequential scans including MR conventional(T1WI,T2WI),dynamic contrast enhancement(DCE),DKI,and IVIM.After surgery,the patients were divided into significant group(40 patients)and non-significant group(29 patients)based on the efficacy of NAC,which was evaluated using the Miller-Payne(MP)grading method criteria.The differences in global histogram parameters of DKI[mean diffusivity(MD),mean kurtosis(MK)]and IVIM(D value,f value,D*value)between the significant group and the non-significant group were compared by the two-independent sample t-test and Mann-Whitney U test.In addition,the receiver operating characteristic(ROC)curve was plotted,and Spearman rank correlation analysis was used to evaluate the diagnostic efficacy and correlation of DKI and IVIM global histogram parameters in predicting NAC efficacy.The DeLong test was used to compare whether there was statistical significance in area under the curve(AUC)differences among histogram parameters.Results The DKI MD value(90th percentile,mean,median,maximum,range,root mean square),IVIM D value(mean,range,root mean square,median)and D*value(entropy,90th percentile)of patients with breast invasive ductal carcinoma in the significant group with efficacy of NAC were higher than those in the non-significant group,while the DKI MK value(mean and median)were lower than those in the non-significant group,and all the differences mentioned above were statistically significant(P＜0.05).The AUC,sensitivity and specificity of DKI combined with IVIM global histogram parameters were the highest,which were 0.816,72.41％and 90.00％,respectively.MD value,D value and D*value were negatively correlated with the efficacy of NAC in breast invasive ductal carcinoma.MK value was positively correlated with NAC efficacy significance.Conclusion DKI combined with IVIM global histogram parameters can effectively predict the efficacy of NAC in patients with breast invasive ductal carcinoma and provide effective value for clinical NAC preoperative efficacy evaluation.

Objective To investigate the in vitro anti-inflammatory effects of Sophora davidii Hance leaves total alkaloids(SDLTAs)and possible molecular mechanisms.Methods The lipopolysaccharide(LPS)-induced inflammation model of RAW264.7 cells was used,and different concentrations of SDLTAs(50,100 and 200 μg/mL)were administered,and the effect of SDLTAs on cellular NO expression was detected by the Griess method;ELISA method was used to detect the effect of SDLTAs on the expression of IL-6,TNF-α and IL-1β;The expression of iNOS,NF-κB p65 and IκBα mRNA was detected by RT-qPCR;Western blotting was used to detecte the expres-sion of p-p38,p-p65 and p-JNK in the cells and NF-κB p65 in the nucleus.Results SDLTAs could significantly inhibit the LPS-induced inflammatory response in RAW264.7 cells.SDLTAs significantly decreased the secretion of NO,IL-6,TNF-α and IL-1β in cells(P<0.01),and significantly decreased the mRNA expressions of iNOS,NF-κB p65 and IκBα in cells(P<0.01).Significantly decreased the protein expression of p-p38,p-p65 and p-JNK in cells and NF-κB p65 in nucleus(P<0.01).Conclusion SDLTAs can exert anti-inflammatory effects by regulating the MAPK/NF-κB signalling pathway.

Objective To evaluate which factors may affect magnetic resonance imaging(MRI)performance in the detection of pathologic complete response(pCR)after neoadjuvant chemotherapy(NAC).Methods This retrospective study involved 89 patients diagnosed with invasive breast carcinoma who received NAC at The Second Affiliated Hospital of Xi'an Jiaotong University from July 2019 to December 2021.Breast MRI was performed before and after NAC.Based on the pathological results obtained surgery after the completion NAC and using Miller-Payne classification as the evaluation standard,the patients were divided into two subgroups:pCR and non-pathological complete response(npCR).Chi-square test was used to compare the MRI characteristics of pre-NAC lesions between the two groups.ROC curve analysis was made to analyze the accuracy,sensitivity,specificity,positive predictive value,and negative predictive value of MRI after NAC;the diagnostic performance of MRI in predicting pCR in different tumor subtypes was analyzed.We made univariate and multivariate analyses of factors affecting radiographic complete response(rCR)and pCR concordance.Results MRI analysis after NAC showed rCR in 20 cases(22.5％)and pCR in 28 cases(31.5％).Considering rCR as a"positive"result of MRI analysis,MRI assessment was accurate in 79 cases,including 19 true positive cases and 60 true negative cases.MRI assessment was inaccurate in 10 cases,including 9 false negative cases and 1 false positive case.The sensitivity,specificity,accuracy,positive predictive value,and negative predictive value of MRI assessment of pCR were 67.86％,98.36％,88.76％,95.00％,and 86.96％.MRI had the lowest diagnostic efficiency in evaluating pCR of ERBB2+breast cancer after NAC.Single factor analysis showed that estrogen receptor(ER),clinical stage,background parenchymal enhancement,and maximum tumor diameter all affected the consistency of rCR and pCR(P＜0.05).Multivariate Logistic regression analysis showed that the independent influencing factor affecting the consistency of rCR and pCR was clinical stage.Conclusion MRI demonstrated good accuracy in predicting pCR after NAC in the breast cancer patients examined.Pre-treatment MRI characteristics and tumor subtypes may be related to the diagnostic accuracy of post-NAC MRI in breast cancer patients.