Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Objective To explore the impact of macrophage-to-myofibroblast transition(MMT)on pulmonary fibro-sis induced by acute lung injury by LPS.Methods Totally 21 male mice were randomly classified into 7 groups:control group,model group(LPS-PF)at different time points and intervention group of clodronate-liposomes(CL-LIP)treatement at different time points(n=3).Pulmonary fibrosis was identified by HE and Masson staining microscopy.The immuno-fluorescence technology was used for the evaluation of numbers of macrophage-to-myofi-broblast transition cells(MMT cell which co-expressed CD68 and α-SMA).Bone marrow-derived macrophages(BMDMs)were randomly classified into two group:control(Ctrl)group and TGF-β1-treated group induced by transforming growthfactor-β1.α-SMA,FN and Col1 were detected by RT-qPCR.The expression of α-SMA,Smad3 and p-Smad3 protein was evaluated by Western blot.Results At day 7,the Ashcroft score of lung tissue in LPS-PF mouse model was significantly increased when compared with the Ctrl group(P＜0.01);While the score signifi-cantly declined when the model was pretreated with CL-LIP(P＜0.05).As detected by immuno-fluorescence stai-ning,in CL-LIP group the number of CD68-positive cells co-labeled with α-SMA was obviously less then that of LPS-PF group of the corresponding time point(P＜0.01).When the BMDMs were stimulated by TGF-β1 at 24 h,48 h and 96 h respectively,a higher expression of α-SMA,FN,Col1,were found in TGF-β1-treated group than that in Ctrl group at the corresponding time point(P＜0.01).The expression of Smad3,p-Smad3 significantly higher in LPS-PF group(at both day 7 and day 10)and TGF-β1-treated group(at both 48 h and 96 h)as compared to cor-responding control group(P＜0.01).Conclusions MMT promotes pulmonary fibrosis induced by ALI via LPS.Smad3 is proved to be involved in the MMT process.

Abstract Health literate schools (HeLit-Schools) play a significant role in fostering students health literacy. The paper elucidates the background and conceptual connotations of HeLit-Schools, and analyzes how HeLit-Schools effectively integrate and enhance the health literacy of schools in three aspects: philosophy and core drivers, strategy and method implementation, as well as evaluation mechanisms and standard setting. Furthermore, the paper explores the implications of foreign HeLit-Schools research and practice for China under the context of "Healthy China" construction, as well as the key strategies for Chinese schools in the implementation of HeLit-Schools, aiming to provide a new perspective and theoretical support for Chinese schools to practice the "Healthy China initiative" and strengthen school construction from the perspective of health literacy.

In order to investigate the chemical constituents of glycosides in Piper sintenense Hatusima, column chromatographic techniques such as silica gel, ODS, MCI GEL CHP20P, Sephadex LH-20, and semi-preparative high performance liquid chromatography were used to afford nine glycosides from the n-butanol part of the 95% ethanol extract of Piper sintenense Hatusima. Based on the physicochemical properties and NMR data, the above compounds were identified as (2S)-2-hydroxy-1-(4-hydroxy-3-methoxyphenyl)-1-propanone-2-O-β-D-glucopyranoside (1), 2-phenylethyl β-D-glucopyranoside (2), benzyl α-L-arabinopyranosyl-(1''→6')-β-D-glucopyranoside (3), benzyl β-D-xylopyanosyl-(1''→6')-β-D-glucopyranoside (4), phenethyl β-D-apiofuranosyl-(1''→ 2')-β-D-glucopyranoside(5), salidroside (6), phenethanol β-D-xylopyanosyl-(1''→6')-β-D-glucopyranoside (7), (Z)-hexenyl-O-α-L-arabinopyranosyl-(1''→6')-O-β-D-glucopyranoside (8), (Z)-hexenyl-O-β-D-xylopyanosyl-(1''→6')-O-β-D-glucopyranoside (9). Compound 1 was identified as a new compound, and compounds 3-9 were isolated from the genus Piper for the first time.

The quality control of traditional Chinese medicine(TCM)is the core issue to ensure the modernization,industrialization and internationalization of TCM.Compared with other detection methods,electrochemical analysis method has many advantages such as high sensitivity,fast detection speed and low cost,making it an important means of quality control for TCM and having broad development prospects.This article reviewed the research progress of electrochemical methods in quality control of TCM in recent years,discussed the application of electrochemical fingerprinting technique in identification of TCM,and comprehensively summarized the application of electrochemical technology in analyzing effective components and harmful substances in TCM,including flavonoids,alkaloids,quinones,glycosides,heavy metals and pesticide residues.Finally,the development prospects of electrochemical methods in the field of quality control of TCM were discussed.