Objective: To develop a simple digital chylous plasma device and validate its ability to accurately, standardly, and non-destructively determine chylous plasma in blood banks and clinical transfusions in hospitals. Methods: A digital chylous plasma assessment device was designed and manufactured. This device was used to measure the chylous degrees of chylous plasma samples before freezing, after freeze-thawing, before viral inactivation, and after viral inactivation. The measured chylosity index values were categorized according to the requirements specified in Appendix A of the Chinese national standard GB 18469-2001 "Quality Requirements for Whole Blood and Blood Components". This process established a digital standard for chylous plasma, enabling the identification of severe, moderate and mild chylous plasma, and non-chylous plasma. Results: The initial simple product of the digital chylous assessment device was successfully designed and manufactured. There was no significant difference in the degree of chylous plasma between pre-freezing 468.11±217.73 lux and post-thawing 538.91±273.39 lux of chylous plasma (P>0.05), or between pre-viral inactivation 858.33±387.79 lux and post-viral inactivation 928.33±166.51 lux of chylous plasma (P>0.05). The median of chylous degree values for plasma chylous index grades 0 to 6 were 45 lux, 250 lux, 620 lux, 835 lux, 1 130 lux, 1 390 lux, and 1 700 lux, respectively. The defined cutoff values/ranges for the chylous degree values corresponding to plasma chylous index grade 0 to 6 were ≤125 lux, 126-465 lux, 466-740 lux, 741-1 000 lux, 1 001-1 233 lux, 1 234-1 560 lux, and ≥1 561 lux. Conclusion: This study successfully developed the initial product of the digital chylous device and established digital standards for classifying chylous plasma. The device demonstrates the potential to meet the needs for assessment of chylous plasma in both blood banks and clinical transfusions in hospitals, thereby promoting the development and application of standardized, non-destructive chylous plasma assessment technology.

ObjectiveTo examine the inhibitory effects of berberine compounds， including columbamine， on acetylcholinesterase from the perspectives of drug-target binding affinity and kinetics and explore the blood-brain barrier （BBB） permeability of these compounds in different multi-component backgrounds. MethodThe median inhibitory concentration （IC₅₀） of acetylcholinesterase by berberine compounds including columbamine was measured using the Ellman-modified spectrophotometric method. The binding kinetic parameters （K_off） of these compounds with acetylcholinesterase were determined using the enzyme activity recovery method. A qualitative analysis of the ability of these components to penetrate the BBB and arrive at the brain tissue in diverse multi-component backgrounds （including medicinal herbs and compound formulas） was conducted using ultra performance liquid chromatography-high resolution mass spectrometry （UPLC-HRMS）. ResultBerberine compounds， including columbamine， exhibited strong inhibition of acetylcholinesterase， with IC₅₀ values in the nanomolar range. Moreover， they displayed better drug-target binding kinetics characteristics （with smaller K_off values） than the positive control of donepezil hydrochloride （P<0.01）， indicating a longer inhibition duration of acetylcholinesterase. Berberine components such as columbamine could penetrate the BBB to arrive at brain tissue in the form of a monomer， as well as in the multi-component backgrounds of Coptis and Phellodendri Chinensis Cortex medicinal extracts and the compound formula Huanglian Jiedutang. ConclusionThese berberine compounds such as columbamine exhibit a strong inhibitory effect on acetylcholinesterase and can arrive at brain tissue in multi-component backgrounds. In the level of pharmacological substance， this supports the clinical efficacy of compound Huanglian Jiedutang in improving Alzheimer's disease， providing data support for elucidating the pharmacological basis of compound Huanglian Jiedutang.

Herpes zoster ophthalmicus(HZO)is caused by the involvement of the ophthalmic division trigeminal nerve after reactivation of varicella-zoster virus(VZV)latent in the trigeminal ganglia, which usually occurs in the elderly and people with low immune function. The clinical manifestations of HZO are complex and diverse, which show not only keratoconjunctivitis and uveitis, but also retinal necrosis, optic neuropathy, and rare central nervous system lesions. Some cases do not have typical skin lesions, which can easily lead to missed diagnosis, misdiagnosis, and mistreatment, seriously affecting People's life quality. This article aimed to evaluate the clinical manifestations of HZO cases reported in the literature in recent years and comprehensively understand their diversity and complexity to better diagnose and treat the disease. This study also aimed to improve the diagnosis and cure rates of the disease, reduce the maximum number of visual damage, and provide more evidence for the precise diagnosis and treatment of HZO.

ObjectiveTo identify the prototypical components and metabolites absorbed into blood and cerebrospinal fluid of Schisandrae Chinensis Fructus（SCF） based on sequential metabolism combined with liquid chromatography-mass spectrometry. MethodBlood and cerebrospinal fluid samples of integrated metabolism， intestinal metabolism and hepatic metabolism were collected from male SD rats after gavage and in situ intestinal perfusion administration， and ultra-performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC Q-Exactive Orbitrap MS） was used to analyze and compare the differences in the spectra of SCF extract， blank plasma， administered plasma， blank cerebrospinal fluid and administered cerebrospinal fluid with ACQUITY UPLC BEH Shield RP18 column（2.1 mm×100 mm， 1.7 µm）， the mobile phase was acetonitrile（A）-0.1% formic acid aqueous solution（B） for gradient elution（0-7 min， 95%B； 7-12 min， 95%-35%B； 12-17 min， 35%-15%B； 17-20 min， 15%-12%B； 20-22 min， 12%-5%B； 22-23 min， 5%B； 23-25 min， 5%-95%B； 25-28 min， 95%B）. And heated electrospray ionization（HESI） was used with positive and negative ion modes， the scanning range was m/z 100-1 500. The prototypical constituents and their metabolites absorbed into blood and cerebrospinal fluid of SCF were identified according to the retention time， characteristic fragments， molecular formulae and the information of reference substances. ResultA total of 42 chemical components were identified in the extract of SCF， including lignans， flavonoids， amino acids， tannins， and others， of which lignans were the main ones. A total of 27 prototypical components and 14 metabolites were identified in plasma samples from different sites. A total of 15 prototypical components and 9 metabolites were identified in cerebrospinal fluid. The main metabolic reactions involved in the formation of metabolites were mainly demethylation， methylation， demethoxylation and hydroxylation. ConclusionThrough the systematic identification of the prototypical components and metabolites of SCF in rats， it provides data support for further better exploring the material basis of SCF in the treatment of central nervous system diseases.

A sesquiterpene natural substance called artemisinin was discovered in Artemisia annua. One of its derivatives， artesunate （ART）， has the properties of economy， immediate effect， low toxicity， and good tolerance. Since it has a quick and powerful killing effect on plasmodium in the erythrocyte phase and can quickly handle clinical seizure and symptoms， it is currently mostly utilized to treat cerebral malaria and other severe instances of malaria. In addition， it has antitumor， antivirus， anti-hepatic fibrosis， anti-inflammatory， antibacterial， hepatocyte protection， immunological modulation， and other pharmacological properties and can inhibit cell proliferation， induce cell apoptosis， and reduce the incidence of sepsis. In many countries， artemisinin-based combination therapies （ACTs）， such as artemether-benflumetol， artesunate-amodiaquine， and artemether-lumefantrine， are the first-line treatments for malaria. Recent research on artesunate by Chinese and international scholars has revealed that compared with monotherapy， artesunate combination therapy offers more benefits in terms of improving pharmacological effects， shortening the duration of medicine， and minimizing adverse effects. Through systematic retrieval of Web of Science Core Collection and integration through CiteSpace （6.2.1） software， this article reviewed the mechanism of artesunate combined with other medications with regard to antimalarial， antitumor， antibacterial， and antiviral features in the previous five years， so as to provide some theoretical basis for rational development and utilization of ART and new drug research and development.

Objective To explore a method to improve the accuracy and generalization ability of medical diagnostic neural network models under conditions of small data volumes,and to address the issue of poor neural network model performance in computer-aided diagnosis of nail diseases due to limited training data.Methods A dual-model strategy integrating instance segmentation with fine-grained feature classification was proposed.The neural network model based on dual-model strategy was trained using the dataset of Image-Based Intelligent Diagnosis of Nail Disease Model task of the first National Digital Health Innovation Application Competition & Health and Medical Big Data Theme Competition.This dataset covered 8 types of nail diseases,including nail matrix nevi,paronychia,nail psoriasis,onychomycosis,subungual hemorrhage,melanonychia,periungual warts,and nail melanoma,with class imbalance present.The diagnostic performance of the dual-model strategy was evaluated and compared with single-model strategies(image classification models[ResNet50 and Swin Transformer]and target detection model based on faster region-based convolutional neural network[Faster R-CNN])under the same hardware and software training conditions.Results The dataset included 1 048 samples,including 210 cases of nail matrix nevi,186 cases of paronychia,69 cases of nail psoriasis,203 cases of onychomycosis,149 cases of subungual hemorrhage,71 cases of melanonychia,93 cases of periungual warts,and 67 cases of nail melanoma,with 90％used for training various models and 10％for evaluation.The micro F1 score was 0.324 in the image classification model based on ResNet50,0.381 in the image classification model based on Swin Transformer,0.572 in the target detection model based on Faster R-CNN,and 0.714 in the dual-model strategy model Mask R-CNN+Swin Transformer.The accuracy rates for diagnosing different nail diseases in the dual-model strategy were:nail matrix nevi 80.95％(17/21),paronychia 89.47％(17/19),nail psoriasis 100.00％(7/7),onychomycosis 70.00％(14/20),subungual hemorrhage 73.33％(11/15),melanonychia 14.29％(1/7),periungual warts 55.56％(5/9),and nail melanoma 42.86％(3/7).The micro F1 score for evaluating the dual-model strategy on a test set of 1 000 cases was 0.844.Conclusion The dual-model strategy can effectively combine models with different functions to well accomplish the task of intelligent diagnosis of nail diseases under small data volume training conditions.

Objective:To gain a deep understanding of the current cognition and training needs of nursing undergraduates regarding their emergency response teamwork skills, and to provide reference for the development of courses on emergency response teamwork among nursing undergraduates.Methods:From September to October 2023, purposive sampling was used to select 15 senior nursing undergraduates from Peking Union Medical College, Beijing University of Chinese Medicine, and Beijing City University as subjects for semi-structured interviews. Colazizzi 7-step analysis method was used to summarize and extract themes.Results:Three themes were extracted, including insufficient cognition and skill in emergency response, lack of emergency response teamwork cultivation, and the need for systematic and comprehensive training courses.Conclusions:Universities, hospitals, and other training institutions should work together to develop a systematic emergency response teamwork training course for nursing undergraduates, to cultivate the skills of nursing undergraduates and reserve talents for high-quality emergency response nursing teams.

Objective:To analyze and compare the health education efforts of respiratory infectious diseases at home and abroad.Methods:The literature related to health education and popular science of respiratory infectious diseases included in the databases of China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) from January 1, 2003 to December 31, 2023 was searched. A total of 4 686 articles were retrieved in CNKI, 1 540 articles unrelated to the theme were excluded, and 3 146 Chinese articles were obtained. In the WOS database, 7 724 articles were retrieved, 3 685 articles about the clinical mechanism of diseases, pharmacology, and other research topics were excluded, and 4 039 English articles were obtained. The information of annual publications, institutions, authors and keywords was analyzed by using CiteSpace visualization software, and the publication status, research hotspots and development trends of health education related to respiratory infectious diseases at home and abroad were analyzed.Results:Since 2003, the number of publications in health education on respiratory infectious diseases at home and abroad had shown a fluctuating growth trend, and in 2020, the field showed a sharp growth trend at home and abroad. There was no core author group in this field in China, and the network density of domestic authors was 0.006 5, and the network density of foreign authors was 0.009 6. The domestic institutions were mainly the Center for Disease Control and Prevention and medical institutions, including Guangzhou Chest Hospital (29 articles) and the Chinese Center for Disease Control and Prevention (10 articles); Foreign research institutions were mainly higher education institutions, including the University of London (91 articles) and Harvard University (67 articles). The network density of domestic was 0.001 3, and the network density of foreign publishing institutions was 0.026 3, the network density was greater than that of Chinese publishing institutions. The emergence of "COVID-19" "Avian influenza" "Knowledge, Attitude, Practice" and "mental health" in China had strong burst (burst intensity: 46.41, 12.12, 10.33, 8.5); "Coronavirus" "coverage" "Avian influenza" and "COVID-19 vaccine" in foreign countries had strong burst (burst intensity: 14.34, 11.06, 10.73, 10.02).Conclusions:At present, the health education of respiratory infectious diseases at home and abroad has received great attention. But the cooperation between domestic authors and research institutions is loose, and the close collaboration needs to be strengthened. There are differences in the research focus of health education on respiratory infectious diseases at home and abroad.

Health communication is the most core element in health education and health promotion.This paper summarizes and analyzes the research in China related to the evaluation of health communication effects through different media.It finds that the current evaluation indicators of communication effects are generally focused on changes in awareness rates.Traditional media and new media,as different types of communication mediums with their own advatages and limitations,do not have unified indicators to scientifically evaluate their communication effects in China,Due to the interdisciplinary nature of health communication,qualitative research methods(such as the Delphi method)have not been fully applied by researchers in the field of public health in China.This paper aims to sort out and compare various effects evaluation indicatorsof health communication with different media from current research through a literature review,and to provide evidences for improving a comprehensive and practical effect evaluation system of health communication in the future.

Background/Aims: Inflammatory bowel disease (IBD) may contribute to the development of hematologic malignancies. In this study, the potential relationship between IBD and hematologic malignancies was investigated. Methods: We searched the PubMed, Web of Science, Embase, and Cochrane Library databases for all cohort studies comparing the incidence of hematologic malignancies in non-IBD populations with that in IBD patients, and we extracted relevant data from January 2000 to June 2023 for meta-analysis. Results: Twenty cohort studies involving 756,377 participants were included in this study. The results showed that compared with the non-IBD cohort, the incidence of hematologic malignancies in the IBD cohort was higher (standardized incidence ratio [SIR]=3.05, p<0.001). According to the specific types of IBD, compared with the non-IBD patients, the incidences of hematologic malignancies in ulcerative colitis patients (SIR=2.29, p=0.05) and Crohn's disease patients (SIR=3.56, p=0.005) were all higher. In the subgroup analysis of hematologic malignancy types, compared with the control group, the incidences of non-Hodgkin's lymphoma (SIR=1.70, p=0.01), Hodgkin's lymphoma (SIR=3.47, p=0.002), and leukemia (SIR=3.69, p<0.001) were all higher in the IBD cohort. Conclusions The incidence of hematologic malignancies, including non-Hodgkin's lymphoma, Hodgkin's lymphoma, and leukemia is higher in patients with IBD (ulcerative colitis or Crohn's disease) than in non-IBD patients.