ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

Blood standardization is a crucial means of promoting the healthy and sustainable development of China's blood industry. The construction of a blood standard system serves as the foundational work for blood standardization. To facilitate the continuous improvement of blood standardization efforts, this paper begins by describing the current status and analyzing the issues within China's blood standard system. Through systematic research, it proposes a framework for constructing a blood standard system and offers revision recommendations for its enhancement. Based on the first five editions of the blood standard system developed by Sub-Committee of Blood Standards of National Committee of Health Standards, this study further refines the revision and detailed construction of the standards framework—the primary task in establishing the blood standard system. It provides specific guidance for both the construction and application of the blood standard system. This work serves as a reference and basis for the reasonable and standardized formulation and revision of blood standards, as well as for the management and implementation of blood standardization efforts.

Objective:To investigate the glymphatic system dysfunction and white matter microstructural damage in type 2 diabetic mellitus patients with diabetic peripheral neuropathy (DPN), and to identify the early diagnostic imaging biomarkers.Methods:Thirty-one DPN patients and 31 type 2 diabetes mellitus (T2DM) patients who attended the First People's Hospital of Yancheng from March 2022 to October 2023 were included. In addition, 40 healthy controls (HC) were recruited. All subjects underwent 3.0T MRI scan with diffusion tensor imaging and 3D-T1WI sequences, and the diffusion tensor imaging analysis along the perivascular space(DTI-ALPS) index, perivascular space volume fraction in white matter(PVSVF-WM) and peak width of skeletonized mean diffusivity (PSMD) were calculated. SPSS 26.0 software was used to perform one-way ANOVA, t-tests, and Chi-square tests to compare clinical data and imaging indicators among the three groups. Partial correlation analysis was used to explore the relationships between DTI-ALPS index, PVSVF-WM, PSMD and clinical indicators in DPN patients. Finally, receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic value of DTI-ALPS index, PVSVF-WM, and PSMD for DPN. Results:The DPN group(1.46±0.19)had considerably lower DTI-ALPS index than the T2DM group (1.59±0.14) and HC group (1.60±0.17) (both P<0.05, Bonferroni correction). The DPN group (1.44±0.11) had significantly higher PVSVF-WM than both the T2DM group (1.35±0.14) and HC group (1.26±0.13) (both P<0.05, Bonferroni correction). The DPN group (1.84±0.31) and the T2DM group (1.83±0.25) had higher PSMD than HC group (1.60±0.24) (both P<0.05, Bonferroni correction), but the difference between the DPN group and the T2DM group was not statistically significant ( P>0.05). The DTI-ALPS index in the DPN group were negatively correlated with PSMD ( r=-0.379, P=0.035). The DTI-ALPS index was negatively correlated with the Toronto clinical scoring system (TCSS) score ( r=-0.456, P=0.01), while PSMD was positively correlated with TCSS scores ( r=0.686, P<0.001) in DPN group. The ROC curves showed that the area under the curve (AUC) was 0.777 ( P<0.001) for the combined diagnosis of DPN with the DTI-ALPS index, PVSVF-WM and PSMD. Conclusion:DPN patients exhibit glymphatic system dysfunction and white matter microstructural damage. The DTI-ALPS index and PSMD can serve as objective markers for assessing DPN severity. The combination of glymphatic system function indicators and white matter microstructural damage markers has moderate diagnostic value for peripheral neuropathy in T2DM patients.

[This corrects the article DOI: 10.11909/j.issn.1671-5411.2017.08.005.].

Cynanchum atratum Bunge (C. atratum) and Cynanchum versicolor Bunge (C. versicolor) are two related species that have been used as "Baiwei" (Cynanchi Atrati Radix Et Rhizoma) in traditional medicine in China and other Asian countries for a long time. However, to date, no comprehensive review of C. atratum and C. versicolor has been published. This review provides a comprehensive summary on the botany, phytochemistry, traditional uses and pharmacology of Baiwei; The authors focus especially on the revision of errors in previous articles and reviews, updating information and providing a comparison of C. atratum and C. versicolor. Furthermore, current research reveals significant disparities in the chemical composition and pharmacological effects between C. atratum and C. versicolor. Up to November 2023, 178 compounds have been isolated from C. atratum and C. versicolor, including C₂₁ steroids, acetophenones, alkaloids and volatile oils. These compounds and extracts have been proven to exhibit significant pharmacological activities, including anti-inflammatory, anti-tumor, anti-virus, anti-fungal, memory-enhancing and anti-pyretic action, immune modulatory effects, reducing blood lipid, inhibition of melanin production, and anti-parasitic effects. Therefore, this review presents new insights into these two herbs used as "Baiwei" and further study is warranted to enhance their clinical application. Please cite this article as: Xie W, Liu XY, Li X, Jin YS. Cynanchum atratum Bunge and Cynanchum versicolor Bunge for Baiwei: An updated review of their botany, phytochemistry, traditional uses and pharmacological activities. J Integr Med. 2025; 23(3): 230-255.
Cynanchum/chemistry* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Phytochemicals/pharmacology* ; Animals ; Medicine, Chinese Traditional ; Plant Extracts/chemistry*

Relevant China's literature on the application of brain-computer interface technology in the field of rehabilita-tion of stroke patients was retrieved in the China Knowledge Network database from its establishment to December 31,2024,and CiteSpace visual analysis software was used to analyze the selected literature in terms of trend of annual publica-tion number,author collaboration network,keyword co-occurrences and emergences and to generate a corresponding knowledge map.It's pointed out brain-computer interface technology showed significant application potential for motor function recovery and neurorehabilitation,which had the research hotspots of the cross technologies covering motor imagina-tion,rehabilitation training and virtual reality and the research frontiers of the fusion application of intelligent algorithms of deep learning and pattern recognition.The challenges and future development directions of the field were investigated,and references were provided for promoting the application of brain-computer interface technology to rehabilitation of sroke patients in China.[Chinese Medical Equipment Journal,2025,46(9):65-69]

Objective:To investigate the glymphatic system dysfunction and white matter microstructural damage in type 2 diabetic mellitus patients with diabetic peripheral neuropathy (DPN), and to identify the early diagnostic imaging biomarkers.Methods:Thirty-one DPN patients and 31 type 2 diabetes mellitus (T2DM) patients who attended the First People's Hospital of Yancheng from March 2022 to October 2023 were included. In addition, 40 healthy controls (HC) were recruited. All subjects underwent 3.0T MRI scan with diffusion tensor imaging and 3D-T1WI sequences, and the diffusion tensor imaging analysis along the perivascular space(DTI-ALPS) index, perivascular space volume fraction in white matter(PVSVF-WM) and peak width of skeletonized mean diffusivity (PSMD) were calculated. SPSS 26.0 software was used to perform one-way ANOVA, t-tests, and Chi-square tests to compare clinical data and imaging indicators among the three groups. Partial correlation analysis was used to explore the relationships between DTI-ALPS index, PVSVF-WM, PSMD and clinical indicators in DPN patients. Finally, receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic value of DTI-ALPS index, PVSVF-WM, and PSMD for DPN. Results:The DPN group(1.46±0.19)had considerably lower DTI-ALPS index than the T2DM group (1.59±0.14) and HC group (1.60±0.17) (both P<0.05, Bonferroni correction). The DPN group (1.44±0.11) had significantly higher PVSVF-WM than both the T2DM group (1.35±0.14) and HC group (1.26±0.13) (both P<0.05, Bonferroni correction). The DPN group (1.84±0.31) and the T2DM group (1.83±0.25) had higher PSMD than HC group (1.60±0.24) (both P<0.05, Bonferroni correction), but the difference between the DPN group and the T2DM group was not statistically significant ( P>0.05). The DTI-ALPS index in the DPN group were negatively correlated with PSMD ( r=-0.379, P=0.035). The DTI-ALPS index was negatively correlated with the Toronto clinical scoring system (TCSS) score ( r=-0.456, P=0.01), while PSMD was positively correlated with TCSS scores ( r=0.686, P<0.001) in DPN group. The ROC curves showed that the area under the curve (AUC) was 0.777 ( P<0.001) for the combined diagnosis of DPN with the DTI-ALPS index, PVSVF-WM and PSMD. Conclusion:DPN patients exhibit glymphatic system dysfunction and white matter microstructural damage. The DTI-ALPS index and PSMD can serve as objective markers for assessing DPN severity. The combination of glymphatic system function indicators and white matter microstructural damage markers has moderate diagnostic value for peripheral neuropathy in T2DM patients.

OBJECTIVE: To observe the clinical efficacy of Qihuang needle therapy for autism spectrum disorder (ASD) children with sleep disorder. METHODS: A total of 60 ASD children with sleep disorder were randomly divided into an observation group and a control group, 30 cases in each group. Both groups were treated with structured education intervention, 60 min each time, once a day, 6 times a week. Qihuang needle therapy was applied at Yintang (GV24⁺), Baihui (GV20) and bilateral Jueyinshu (BL14), Xinshu (BL15) in the observation group, multi-direction needling was delivered and without needle retaining. The treatment was given 2 times a week, each treatment was delivered at interval of 2 days at least. Behavioral intervention was adopted in the control group. Treatment for consecutive 12 weeks was required in both groups. Before and after treatment, the scores of children's sleep habits questionnaire (CSHQ), the autism behavior checklist (ABC), the childhood autism rating scale (CARS), and the childhood autism behavior scale (CABS) were observed in the two groups. RESULTS: After treatment, the scores of CSHQ, ABC, CARS and CABS were decreased compared with those before treatment (P<0.01), and the above scores in the observation group were lower than those in the control group (P<0.05). CONCLUSION Qihuang needle therapy can effectively treat ASD with sleep disorder, improve the core symptoms of ASD and the sleep quality.
Humans ; Autism Spectrum Disorder/physiopathology* ; Male ; Female ; Child ; Sleep Wake Disorders/physiopathology* ; Child, Preschool ; Acupuncture Therapy ; Acupuncture Points ; Treatment Outcome ; Sleep ; Needles

In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/administration & dosage* ; Machine Learning ; Algorithms ; Humans ; Quality Control

This study systematically reviewed the randomized controlled trial(RCT) of traditional Chinese medicine(TCM) treatment of post-stroke depression(PSD) and analyzed the clinical study characteristics and outcome indicators, aiming to optimize the design and establish the core outcome set in the future clinical trials of the TCM treatment of PSD. PubMed, Web of Science, Cochrane Library, EMbase, CNKI, VIP, Wanfang, and SinoMed were searched for the relevant RCT published in recent 3 years. The basic characteristics, intervention measures, and outcome indicators of the included RCT were extracted, and the descriptive analysis was carried out. A total of 76 RCTs were eventually included, with the sample size concentrated in 80-100 cases. The most frequent TCM syndromes were liver depression and Qi stagnation(15 times, 31.91%) and phlegm combined with stasis(5 times, 10.63%). The frequency of intervention methods followed a descending trend of TCM decoction(35 times, 46.05%) and TCM decoction + acupuncture(4 times, 5.26%), Chinese patent medicine(3 times, 3.94%), and the intervention mainly lasted for 1 to 3 months(43 times, 60.56%). The adverse reactions of patients were mainly digestive system reaction(150 patients, 39.37%) and nervous system reaction(112 patients, 29.39%). Most of the included studies had unclear risk of bias, involving 84 outcome indicators, which belonged to 8 indicator domains. The RCTs of TCM treatment of PSD showed a variety of problems, such as non-standard TCM syndrome differentiation, inconsistent names of TCM syndrome scores and measurement tools, low quality, unclear risk of bias, neglect of endpoint indicators, unreasonable selection of substitute indicators, lack of differentiation between primary and secondary outcome indicators, non-standard reporting of safety indicators, insufficient attention to economic indicators, and lack of long-term prognosis evaluation. It is suggested that the future research should improve the quality of methodology and build a standardized core outcome set to promote the development of high-quality clinical research in this field.
Humans ; Randomized Controlled Trials as Topic ; Drugs, Chinese Herbal/administration & dosage* ; Stroke/psychology* ; Depression/etiology* ; Treatment Outcome ; Medicine, Chinese Traditional