The new college entrance examination reform investigation and research on comprehensive quality evaluation.

The comprehensive quality evaluation is an evaluation system that identifies and explores students' strengths. By examining the developmental progress of pilot provinces that have implemented comprehensive quality evaluation, valuable insights and guidance can be derived for other provinces preparing to adopt this evaluation approach. This study conducts an investigation and research on students, teachers, and middle managers from 12 high schools in two pilot areas, Zhejiang and Jiangsu provinces. Using a combination of empirical and qualitative research methods, it aims to explore the levels of satisfaction and recognition among different research subjects regarding the current implementation situation and analyze the existing issues in the current implementation process. According to the corresponding theory, an in-depth analysis is conducted from four dimensions to uncover the underlying causes of the problem, while proposing recommendations to enhance and advance comprehensive quality evaluation. These recommendations are first to enhance further the standard level of matching and integration in comprehensive quality evaluation; second to augment the utilization level of comprehensive quality evaluation; third to elevate the significance of comprehensive quality evaluation results; and fourth to improve the credit rating system associated with comprehensive quality evaluation.

Comprehensive quality evaluation of fermented-steaming Fructus Aurantii based on chemical composition, flavor characteristics, and intestinal microbial community.

Fructus Aurantii (FA) is an edible and medicinal functional food used worldwide that enhances digestion. Since raw FA (RFA) possesses certain side effects for some patients, processed FA (PFA) is commonly used in clinical practice. This study aimed to establish an objective and comprehensive quality evaluation of the PFA that employed the technique of steaming and fermentation. Combined with the volatile and non-volatile components, as well as the regulation of gut microbiota, the differentiation between RFA and PFA was analyzed. The results showed that the PFA considerably reduced the contents of flavonoid glycosides while increasing hesperidin-7-O-glucoside and flavonoid aglycones. The electronic nose and GC-MS (Gas chromatography/mass spectrometry) effectively detected the variation in flavor between RFA and PFA. Correlation analysis revealed that eight volatile components (relative odor activity value [ROAV] ≥ 0.1) played a key role in inducing odor modifications. The original floral and woody notes were subdued due to decreased levels of linalool, sabinene, α-terpineol, and terpinen-4-ol. After processing, more delightful flavors such as lemon and fruity aromas were acquired. Furthermore, gut microbiota analysis indicated a significant increase in beneficial microbial taxa. Particularly, Lactobacillus, Akkermansia, and Blautia exhibited higher abundance following PFA treatment. Conversely, a lower presence of pathogenic bacteria, including Proteobacteria, Flexispira, and Clostridium. This strategy contributes to a comprehensive analysis technique for the quality assessment of FA, providing scientific justifications for processing FA into high-value products with enhanced health benefits. PRACTICAL APPLICATION: This study provided an efficient approach to Fructus Aurantii quality evaluation. The methods of fermentation and steaming showed improved quality and safety.

Evaluation of the key ingredient from the main production areas of Phellodendri Amurensis Cortex using ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry and ultra-high-performance liquid chromatography coupled to triple-quadrupole mass spectrometry.

Phellodendri Amurensis Cortex (PAC) is a medicinal herb that has been generally used to treat diarrhea and jaundice. In order to comprehensively evaluate the PAC in the main production areas quality, a qualitative and quantitative method with highly effective, sensitive, and reliable was developed. The chemical compositions of PAC were analyzed, and fingerprints were established by ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS). Then, the determination of berberine, canthin-6-one, dictamnine, γ-fagarine, and magnoflorine from PAC samples was simultaneously performed using UPLC-QQQ-MS. Furthermore, the chemical components of PAC from different regions were compared and analyzed by combining hierarchical cluster analysis, principal component analysis, and orthogonal partial least squares discriminant analysis. A total of 58 compounds were identified, including 36 alkaloids, four phenylpropanoids, seven terpenoids, four flavonoids and their glycosides, an organic acid compound, and six other components. The fingerprint results show that samples have good similarity. Meanwhile, the content of the five ingredients in different habitats is quite different. By multivariate statistical analysis, 18 batches of PAC could be divided into three categories, and 20 components were identified as differential markers of various origins. A comprehensive method of PAC quality evaluation and chemical composition difference analysis was established, which provided the scientific basis for quality evaluation and further pharmacological mechanism research.

An artificial intelligence method for comprehensive evaluation of preschool education quality.

The evolution in the quality of teaching for preschool education is worth studying. In this article, we solved the qualitative problems in the comprehensive quality evaluation by suggesting a method of quantitative combination and establishing a set of indicators suitable for the comprehensive quality evaluation of students in the kindergarten. According to the experience summed up by previous scholars, the weight of each index is obtained by an analytic hierarchy process. This study analyzed the defects and causes of fuzzy comprehensive evaluation and the neural network model in the construction of early childhood and preschool education's comprehensive quality evaluation model and propose a Feedforward Neural Network (FNN) model. FNN combined with neural network (NN) and fuzzy logic characteristics introduces fuzzy concepts and fuzzy inference rules into neural networks of neurons, the connection power, and network learning. It improves the learning ability of NN and fuzzy evaluation of the power of expression and effectively exerts the advantages of fuzzy logic and neural network to make up for their shortcomings. However, the convergence speed is very slow. To solve this problem, the similarity measure was used to improve the number of hidden layer nodes of the network. The effectiveness and feasibility of the FNN improved hidden layer nodes are verified by an example so as to realize the automation of comprehensive quality evaluation.

Screening the Q-markers of TCMs from RA rat plasma using UHPLC-QTOF/MS technique for the comprehensive evaluation of Wu-Wei-Wen-Tong Capsule.

The appropriate selection of quality marker (Q-marker) for performing the comprehensive quality evaluation of traditional Chinese medicines (TCMs) has much more significance. Wu-Wei-Wen-Tong Capsule (WWWTC), a TCMs prescription, is mainly utilized to treat rheumatoid arthritis (RA) in China. However, the comprehensive quality control for WWWTC has not been achieved because of lacking system analysis for the Q-marker. In this study, a dual wavelength, 203 and 270 nm, was selected based on the feature of 15 Q-markers, and a reliable UHPLC-UV fingerprinting approach was established, achieving the comprehensive quality evaluation of WWWTC. First, we identified 91 prototypes in rat plasma after administering a set amount of WWWTC by using UHPLC-QTOF/MS technique and selected them as the candidate Q-markers. Next, based on the "five principles" of Q-marker selection, 15 absorbed components among them including coumarin, cinnamic acid, cinnamaldehyde, cinnamic alcohol, and 2-methoxycinnamaldehyde derived from Monarch medicine of Cmnamomi Mmulus; epimedin C, icariin, baohuoside I, and anhydroicaritin derived from Monarch medicine Epimedii Folium; germacrone, the sesquiterpene compound in Minister medicine Rhizoma Wenyujin Concisum; pachymic acid, the tetracyclic triterpenoid acids in Assistant medicine Poria; baicalin, baicalein, wogonin, and wogonoside in Guide medicine Scutellariae Radix, respectively, were seriously chosen as the Q-markers, indicating preferable pharmacological effect on RA, characterization of transitivity and traceability as well as measurable components in WWWTC. The effective and meaningful strategy displayed a unique perspective for the exploration of Q-markers in the quality evaluation and further ensured efficacy and safety of the TCMs.

Quality Evaluation of Physical Properties of Ultrafine Granular Powder of Salviae Miltiorrhizae Radix et Rhizoma / 中国实验方剂学杂志

Objective:Taking ultrafine granular powder of Salviae Miltiorrhizae Radix et Rhizoma （UGPSMR） as the research object， to establish a method for evaluating its physical properties. Method:A method was established for measuring the particle size distribution and specific surface area of UGPSMR， and the methodological investigation was carried out. A total of 15 physical indicators ［D90 （particle size value when the cumulative particle distribution reaches 90%）， particle size distribution range， particle size distribution width， bulk density， tap density， intergranular porosity， Carr index， specific surface area， pore volume， angle of repose， tablet angle， Hausner ratio， black to white degree L*， red to green degree a*， yellow to blue degree b*］ were used to characterize the quality attributes of UGPSMR and to construct the physical fingerprint. Multivariate statistical analysis methods such as similarity analysis， cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares discriminant analysis （OPLS-DA） were used to evaluate the quality of 11 batches of UGPSMR （S1-S11） produced in different years， and to find out the difference index between samples from different batches. Result:The method for measuring the particle size distribution and specific surface area of UGPSMR was feasible and repeatable. The similarities between the physical fingerprint of 10 batches of samples （S1-S3， S5-S11） from production and control fingerprint of UGPSMR were above 0.85， but the similarity between sample S4 and the control fingerprint was only 0.488. There were some differences in physical property indicators between different batches of UGPSMR， and the characteristic difference indicators were intergranular porosity， specific surface area， pore volume， b*， L*， Carr index， particle size distribution width， respectively. Conclusion:This method can comprehensively evaluate the physical quality attributes of UGPSMR， and can reflect the effect of differences in material basis of the medicinal materials or production process on the physical properties of finished products， and can evaluate quality consistency between batches from the physical state level， which provides new ideas for the quality control of ultrafine granular powder of herbal medicine.