Callous-unemotional Traits and Child Response to Teacher Rewards, Discipline, and Instructional Methods in Chinese Preschools: A Classroom Observation Study.

Atypical responses to teacher rewards, discipline and different forms of instructional methods have been identified as potential contributors to disruptive behavior, low school engagement, and academic underachievement in children with elevated callous-unemotional (CU) traits. To date, research on CU traits in schools has relied on interview or questionnaire methods and has predominantly been conducted in Western countries. Thus, the present study aims to investigate the relationships between CU traits and children's responses to teacher rewards, discipline and instructional methods in the Chinese preschool context using classroom observation. Eight teachers (7 females, 1 male; M = 37.66 years) and 116 children (56% girls; M = 5.16 years) from two mainstream Chinese preschools participated in the study. Of the 116 eligible children, the behavior of 108 children from four classes were observed during classroom activities. Findings indicated that CU traits were not related to children's responses to discipline, nor did CU traits moderate the relationship between instructional methods and children's academic engagement. Higher CU traits predicted a greater frequency of one-to-one teacher-child interaction. Our findings offer initial insights into the potential of early school-based interventions in fostering engagement and prosocial behavior among children with CU traits. However, they also highlight the need for additional support for preschool teachers, who face the challenge of managing these high-risk children who appear to require more individual time and attention.

Exploring Antioxidant and α-Glucosidase Inhibitory Activities in Mulberry Leaves (Morus alba L.) across Growth Stages: A Comprehensive Metabolomic Analysis with Chemometrics.

Metabolic product accumulation exhibited variations among mulberry (Morus alba L.) leaves (MLs) at distinct growth stages, and this assessment was conducted using a combination of analytical techniques including high-performance liquid chromatography (HPLC), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS). Multivariate analysis was applied to the data, and the findings were correlated with antioxidant activity and α-glucosidase inhibitory effects in vitro. Statistical analyses divided the 27 batches of MLs at different growth stages into three distinct groups. In vitro assays for antioxidant activity and α-glucosidase inhibition revealed that IC50 values were highest at the Y23 stage, which corresponds to the 'Frost Descends' solar term. In summary, the results of this study indicate that MLs at different growth stages throughout the year can be categorized into three primary growth stages using traditional Chinese solar terms as reference points, based on the observed variations in metabolite content.

A Novel Biomarker Identification Approach for Gastric Cancer Using Gene Expression and DNA Methylation Dataset.

As one type of complex disease, gastric cancer has high mortality rate, and there are few effective treatments for patients in advanced stage. With the development of biological technology, a large amount of multiple-omics data of gastric cancer are generated, which enables computational method to discover potential biomarkers of gastric cancer. That will be very important to detect gastric cancer at earlier stages and thus assist in providing timely treatment. However, most of biological data have the characteristics of high dimension and low sample size. It is hard to process directly without feature selection. Besides, only using some omic data, such as gene expression data, provides limited evidence to investigate gastric cancer associated biomarkers. In this research, gene expression data and DNA methylation data are integrated to analyze gastric cancer, and a feature selection approach is proposed to identify the possible biomarkers of gastric cancer. After the original data are pre-processed, the mutual information (MI) is applied to select some top genes. Then, fold change (FC) and T-test are adopted to identify differentially expressed genes (DEG). In particular, false discover rate (FDR) is introduced to revise p_value to further screen genes. For chosen genes, a deep neural network (DNN) model is utilized as the classifier to measure the quality of classification. The experimental results show that the approach can achieve superior performance in terms of accuracy and other metrics. Biological analysis for chosen genes further validates the effectiveness of the approach.

Evaluation and Comparison of Bioactive Constituents of Artemisiae argyi Folium Collected at Different Developmental Stages.

BACKGROUND: Artemisiae argyi Folium (AF) has been used as herbal medicine and a food supplement in China and other Asian countries. There is no report about whether the different developmental stages can influence the bioactive compositions of AF. OBJECTIVE: To investigate the dynamic changes of bioactive constituents of AF collected at different developmental stages. METHOD: The volatile and nonvolatile bioactive components in AF collected at six different developmental stages were analyzed by gas chromatography-mass spectrometry and (GC-MS) high-performance liquid chromatography (HPLC). Chemometrics analysis, including principal component analysis (PCA) and partial least squares discrimination analysis (PLS-DA), were further performed to compare and discriminate the AF samples based on the analysis results. RESULTS: The results indicated the bioactive compositions in AF underwent obvious changes during the period of growth. The volatile compositions of AF collected at different stages were the same, while their relative contents were different. Six volatile compounds could be regarded as chemical markers, which were responsible for the intergroup differences. The phenolic profiles of AF at different stages indicated a similar composition when the content levels of the main phenolic compounds were variated. CONCLUSIONS: The comparative results will facilitate better understanding of dynamic changes of bioactive constituents of AF samples collected at different stages and will provide useful information for cultivation and utilization of this herbal medicine. HIGHLIGHTS: The volatile and nonvolatile bioactive components in AF collected at different developmental stages were evaluated and compared for the first time.

[Dynamic changes of volatile components of Qiai from different harvest time based on GC-MS and chemometrics analysis].

Artemisiae Argyi Folium, the dried leaves of Artemisia argyi, has been widely used in traditional Chinese and folk medicines for a long time. Qiai is one of the top-geoherb of Artemisiae Argyi Folium. Qiai contains various bioactive constituents, such as volatile oils, phenolic acids, flavonoids and terpenoids. Phytochemical studies demonstrated that volatile compounds are the main bioactive constituents in Qiai. Try to investigate dynamic changes of volatile components of Qiai from different harvest time and explore the optimum harvest time of Qiai, in this study, the contents of total volatile oils in Qiai collected from five different harvest time were analyzed by steam distillation method. The results showed that the contents of volatile oils of Qiai were higher in the third harvest time(around the Dragon Boat Festival), which is basically consistent with the traditional harvest time. Furthermore, a sensitive method based on gas chromatography-mass spectrometry(GC-MS) was established for qualitative analysis of volatile compounds in Qiai, and a total of thirty volatile compounds were identified. Chemometrics methods including principal component analysis(PCA) and orthogonal partial least-squares discriminate analysis(OPLS-DA) were applied to explore chemical markers and dynamic changes of volatile components in Qiai from different harvest time, and the results indicated that there were obvious differences in the relative contents of volatile compounds of Qiai samples from different harvest time. Eight volatile compounds, including α-terpinene, γ-terpinene, D-camphor, trans-carveol, α-copaene, isobornylisobutyrate, humulene, and caryophyllene oxide were selected as potential chemical markers. Among the eight chemical markers, the relative contents of α-terpinene, γ-terpinene, α-copaene and caryophyllene oxide were higher in the third harvest period(around the Dragon Boat Festival), which is consistent with the contents of total volatile oils. The present study could provide the basis for investigating the optimum harvest time of Qiai, and might be useful for the quality control of this herbal medicine.

Green Extraction of Phenolic Acids from Artemisia argyi Leaves by Tailor-Made Ternary Deep Eutectic Solvents.

The Artemisia argyi leaf (AL) has been used as a traditional medicine and food supplement in China and other Asian countries for hundreds of years. Phytochemical studies disclosed that AL contains various bioactive constituents. Among bioactive constituents, phenolic acids have been recognized as the main active compounds in AL. To the best of our knowledge, no research has been focused on extraction method for the bioactive phenolic acids from AL. Nowadays, deep eutectic solvents (DESs) are emerging as a new type of green and sustainable solvent for efficient extraction of bioactive compounds from natural products. In the present study, an environmentally friendly extraction method based on DESs was established to extract bioactive phenolic acids from ALs. Diverse tailor-made solvents, including binary and ternary DESs, were explored for simultaneous extraction of four phenolic acids (3-caffeoylquinic acid, 3,4-di-O-caffeoylquinic acid, 3,5-di-O-caffeoylquinic acid, and 4,5-di-O-caffeoylquinic acid) from AL. The results indicated that the ternary DES composed of a 2:1:2 molar ratio of choline chloride, malic acid, and urea showed enhanced extraction yields for phenolic acids compared with conventional organic solvents and other DESs. Subsequently, the extraction parameters for the four phenolic acids by selected tailor-made DESs, including liquid-solid ratios, water content (%) in the DESs, and extraction time, were optimized using response surface methodology and the optimal extraction conditions were: extraction time, 23.5 min; liquid-solid ratio, 57.5 mL/g (mL of DES/g dry weight of plant material); water content, 54%. The research indicated that DESs were efficient and sustainable green extraction solvents for extraction of bioactive phenolic acids from natural products. Compared to the conventional organic solvents, the DESs have a great potential as possible alternatives to those organic solvents in health-related areas such as food and pharmaceuticals.

Comparison and Discrimination of Artemisia argyi and Artemisia lavandulifolia by Gas Chromatography-Mass Spectrometry-Based Metabolomic Approach.

Background: Artemisia argyi and A. lavandulifolia are two morphologically similar herbal medicines derived from the Artemisia genus. Although the two Artemisia herbs have been used as herbal medicines for a long time, studies on their phytochemicals and bioactive compositions are still limited, and no research has been devoted to compare the volatile compounds in A. argyi and A. lavandulifolia. Objective: To compare the volatile constituents in A. argyi and A. lavandulifolia and to explore chemical markers for discrimination and quality evaluation of the two Artemisia herbal medicines. Methods: A GC-MS-based metabolomic approach was employed to compare and discriminate A. argyi and A. lavandulifolia from the aspect of volatile compounds. Multivariate statistical methods, including principal component analysis and orthogonal partial least-squares discriminate analysis, were applied to explore chemical markers for discrimination of the two Artemisia herbal medicines. Results: Thirty volatile compounds were identified, and the chemical profiles of volatile compounds in A. argyi and A. lavandulifolia were quite similar. Principal component analysis and orthogonal partial least-squares discrimination analysis results indicated that the two Artemisia herbal medicines could be distinguished effectively from each other. Ten volatile compounds were selected as potential chemical markers for discrimination of the two Artemisia herbal medicines. Conclusions: The GC-MS-based metabolomics could be an acceptable strategy for comparison and discrimination of A. argyi and A. lavandulifolia as well as authentication of herbal medicines derived from other closely related species. Highlights: GC-MS based metabolomic approach was firstly applied to compare and discriminate Artemisia argyi and Artemisia lavandulifolia.

Comparison of Artemisiae argyi Folium and Artemisiae lavandulaefoliae Folium by simultaneous determination of multi-components with single reference standard method and chemometric analysis.

INTRODUCTION: Artemisiae argyi Folium and Artemisiae lavandulaefoliae Folium, two morphologically similar herbal medicines derived from Artemisia genus. Although the two Artemisia herbs have been used as medicines for a long time in China, the study of their phytochemical and bioactive composition is limited. OBJECTIVE: To comprehensively compare and evaluate the composition of Artemisiae argyi Folium and Artemisiae lavandulaefoliae Folium, and find the chemical makers for quality evaluation of the two Artemisia herbal medicines. METHODOLOGY: Eight compounds including six phenolic acids and two flavonoids were assayed by a single reference standard for simultaneous determination of multi-components method using 3-caffeoylquinic acid as the reference standard. The quantitative data were further analysed by chemometric approaches to compare and distinguish the two herbal medicines. RESULTS: The credibility and feasibility of the single reference standard for simultaneous determination of the multi-components method were carefully validated. The validated method was applied to analyse 16 batches of Artemisiae argyi Folium and 10 batches of Artemisiae lavandulaefoliae Folium samples. The quantitative results showed that 3,5-di-O-caffeoylquinic acid was the most abundant constituent, and the contents of flavonoids were notably different between the two herbal medicines. The chemometric analysis results indicated the two flavonoids, jaceosidin and eupatilin could be used as chemical markers for quality evaluation of the two herbal medicines. CONCLUSION: The single reference standard for simultaneous determination of the multi-components method coupled with chemometrics analysis could be a well-acceptable strategy to compare and evaluate the quality of Artemisiae argyi Folium and Artemisiae lavandulaefoliae Folium.

[Study on difference of chemical constituents of Qiai in different harvest periods].

Artemisiae Argyi Folium,the dried leaves of Artemisia argyi,has been widely used in traditional Chinese and folk medicines for a long time. Qiai is one of the top-geoherb of Artemisiae Argyi Folium. Trying to investigate dynamic changes of chemical components of Qiai in different harvest periods and explore the optimum harvest time of Qiai,in this study,the contents of total flavonoids and total phenolic acids of 36 batches of Qiai collected in 6 different harvest periods were analyzed by ultraviolet-visible spectrophotometry. Furthermore,an HPLC method was applied for simultaneous determination of eight bioactive compounds including six phenolic acids( 5-caffeoylquinic acid,3-caffeoylquinic acid,4-caffeoylquinic acid,3,4-di-O-caffeoylquinic acid,3,5-di-O-caffeoylquinic acid and 4,5-di-O-caffeoylquinic acid) and two flavonoids( jaceosidin and eupatilin) in Qiai samples. The quantitative results indicated that there were some differences in the contents of total flavonoids,total phenolic acids and bioactive compounds of Qiai samples in different harvest periods. The dynamic changes of total flavonoids and total phenolic acids of Qiai in different harvest periods were consistent. The contents of total flavonoids and total phenolic acids of Qiai samples were higher in the third harvest period( around the Dragon Boat Festival),which is basically consistent with the traditional harvest periods. This present study can provide the basis for determining the suitable harvest time of Qiai,and might be useful for the quality evaluation of this herbal medicine.

[Quality evaluation of Taraxaci Herba based on fingerprint analysis and quantitative analysis of multi-components].

Taraxaci Herba was derived from the dried Herba of Taraxacum mongolicum, T. borealisinense and several species from the Taraxacum genus. Taraxaci Herba has been widely used in traditional Chinese and folk medicines. According to the different growth and cultivation pattern, Taraxaci Herba could be divided into two species, wild Taraxaci Herba and cultivated Taraxaci Herba. In the present study, an accurate and reliable fingerprint approach was developed using high performance liquid chromatography(HPLC) for quality control of Taraxaci Herba. A total of 9 common peaks were marked, and the similarity of all the Taraxaci Herba samples was above 0.960. The established fingerprint method could be used for quality control of Taraxaci Herba. Furthermore, an HPLC method was established for simultaneous determination of six bioactive compounds, including monocaffeoyl tartaric acid, chlorogenic acid, caffeic acid, cichoric acid, 4,5-dicaffeoylquinic acid and luteolin in wild Taraxaci Herba and cultivated Taraxaci Herba. Moreover,chemometrics analysis such as principal component analysis and orthogonal partial least squares discriminant analysis were performed to compare and discriminate the wild samples and cultivated samples based on the quantitative data. The chemometrics results indicated that 4,5-dicaffeoylquinic acid and luteolin were significant to effectively discriminate the wild Taraxaci Herba and cultivated Taraxaci Herba samples, and these two compounds could be recognized as chemical markers for quality evaluation of wild Taraxaci Herba and cultivated Taraxaci Herba. The fingerprint analysis and quantitative analysis of multi-components could be a well-acceptable strategy for evaluation the quality of Taraxaci Herba.