HHO optimized support vector machine classifier for traditional Chinese medicine syndrome differentiation of diabetic retinopathy

AIM:To develop a classifier for traditional Chinese medicine(TCM)syndrome differentiation of diabetic retinopathy(DR),using optimized machine learning algorithms,which can provide the basis for TCM objective and intelligent syndrome differentiation.METHODS:Collated data on real-world DR cases were collected.A variety of machine learning methods were used to construct TCM syndrome classification model,and the best performance was selected as the basic model.Genetic Algorithm(GA)was used for feature selection to obtain the optimal feature combination.Harris Hawk Optimization(HHO)was used for parameter optimization,and a classification model based on feature selection and parameter optimization was constructed.The performance of the model was compared with other optimization algorithms.The models were evaluated with accuracy,precision,recall,and F1 score as indicators.RESULTS:Data on 970 cases that met screening requirements were collected.Support Vector Machine(SVM)was the best basic classification model.The accuracy rate of the model was 82.05%,the precision rate was 82.34%,the recall rate was 81.81%,and the F1 value was 81.76%.After GA screening,the optimal feature combination contained 37 feature values,which was consistent with TCM clinical practice.The model based on optimal combination and SVM(GA_SVM)had an accuracy improvement of 1.92%compared to the basic classifier.SVM model based on HHO and GA optimization(HHO_GA_SVM)had the best performance and convergence speed compared with other optimization algorithms.Compared with the basic classification model,the accuracy was improved by 3.51%.CONCLUSION:HHO and GA optimization can improve the model performance of SVM in TCM syndrome differentiation of DR.It provides a new method and research idea for TCM intelligent assisted syndrome differentiation.

An Eye-Movement Study on the Cognitive Neuroscience Mechanisms of Chinese Classifier Construction

The study manipulated semantic and syntactic variables to explore the cognitive neuroscience mechanisms of Chinese classifier construction"yi+N(CL)+N".It was indicated:First,the mismatch could be dissolved if and only if the CL and modified noun were semantically related,which implied the significance of semantics in dissolving syntactic conflicts and processing linguistic items.Second,syntactic and semantic information were both activated at the early and late stages of language processing,which is consistent with the claims of the extended Concurrent Model.Third,the Access Mechanism of CLs,i.e.items in ordinary partitive phrases and temporary partitive phrases was identified.The former were addressed in a direct way,while the latter were processed in an assembled way.

A 4-Corner Codes Classifier Based on Decision Tree Inductive Learning for Handwritten Chinese Characters

The classification for handwritten Chinese character recognition can be viewed as a transformation in discrete vector space. In this paper, from the point of discrete vector space transformation, a new 4-corner codes classifier based on decision tree inductive learning algorithm ID3 for handwritten Chinese characters is presented. With a feature extraction controller, the classifier can reduce the number of extracted features and accelerate classification speed. Experimental results show that the 4-corner codes classifier performs well on both recognition accuracy and speed.

Comparative efficacy and safety of Chinese patent medicines of iron deficiency anemia during pregnancy:A network meta-analysis

BACKGROUND Iron deficiency anemia(IDA)is a prevalent nutritional disorder during pregnancy.Clinical studies indicate that incorporating Chinese patent medicines(CPMs)with oral iron(OI)in treating IDA in pregnancy can reduce adverse effects and improve clinical outcomes.Nonetheless,the comparative efficacy of different CPMs remains unclear.AIM To assess the safety and effectiveness of different CPMs for treating IDA during pregnancy using network meta-analysis.METHODS We conducted a search for randomized controlled trials(RCTs)that combined CPM and OI for IDA treatment in pregnancy,spanning from 2013 to the present.Data analysis was performed using Rev Man 5.3 and Stata 14.0 on literature that satisfied the quality criteria.RESULTS The analysis included 45 RCTs,encompassing 4422 pregnant patients with IDA.Six CPMs were examined,including Shengxuebao Mixture,Shengxuening Tablets(SXN),Yiqi Weixue CPMs(YQWX),Jianpi Shengxue CPMs(JPSX),Yiqi Buxue Tablets,and Compound Hongyi Buxue Oral Liquid(FFHY).Findings indicated that FFHY+OI significantly improved the clinical effective rate.SXN+OI was most effective in boosting red blood cells counts and hemoglobin levels.YQWX+OI showed superior results in improving serum ferritin,and SXN+OI was most effective in increasing serum iron levels.JPSX+OI was optimal in reducing adverse pregnancy outcomes,while YQBX+OI effectively minimized adverse events.A cluster analysis suggested that SXN+OI could be the potentially optimal therapeutic regimen for IDA in pregnancy.CONCLUSION This study demonstrates that the combination of OI with CPMs offers better outcomes than OI alone.Based on clinical efficacy and other measured outcomes,SXN+OI emerges as the most effective treatment modality for improving the health of pregnant patients with IDA.

Mechanism of traditional Chinese medicine in the treatment of psoriasis with depression:A review

Psoriasis is a kind of immune-mediated, chronic, inflammatory skin disease, which is often associated with different degrees of psychological disorders. Specifically, there is a significant correlation between psoriasis and depression, and they show the relationships of reciprocal causation and mutual promotion. Psoriasis with depression is more harmful than simple psoriasis, and its prognosis is worse, which brings a huge burden to the family and society and is worthy of clinical attention. Based on the pathogenic factors of western medicine and pathogenesis of traditional Chinese medicine in psoriasis with depression, the paper summarized and elaborated the research progress on the mechanism of traditional Chinese medicine in the treatment of psoriasis with depression, in order to provide new ideas for clinical treatment.

An Exploration of Traditional Chinese Cultural Programs:The Construction of Rituals,Narrative Strategies,and Experiential Insights

In the context of the cultural development of the new era and the burgeoning spiritual demands of the people,there has been a remarkable surge in the proliferation of traditional Chinese cultural programs.The“Chinese Festivals”series,produced by Henan TV,standing out as an engaging TV program that showcases traditional Chinese culture,has rapidly captivated a diverse audience across different age groups,creating a rich,multi-dimensional,and cross-media cultural communication ecosystem.The program strategically selects symbolic elements by systematically categorizing and organizing traditional Chinese cultural symbols to create a rich cultural space.It employs cutting-edge scientific and technological methods to enrich viewer immersion,crafting media rituals with both temporal significance and a profound sense of media ritual.This approach boosts the program’s popularity and sets a benchmark for industry innovation.By fostering an interactive narrative between mainstream media and the public,the program continuously broadens the scope of the“story world,”fostering a harmonious and structured national cultural community through the creative interpretation of traditional Chinese culture and the evocative crafting of the aesthetic sensibilities inherent in Chinese art.It is worth noting that the phenomenon of aesthetic fatigue besets the development of this serial program.To address this issue and further improve the appeal of the program,a comprehensive approach is required to develop a cohesive narrative mode for the“story world.”This involves harmonizing the interplay between artistic endeavors and technological advancements,synchronizing sensory experiences with the foundational ritualistic elements,and enhancing the effectiveness of the media communication matrix to construct a brand of media culture that has social significance,aesthetic value,and economic profits in the new era.

The potential of Chinese herbal medicines in treating anxiety disorders

In recent years,there has not been much progress in developing anxiolytic drugs.Amongst the barriers are the lack of clarity on the pathogenesis of anxiety disorders,low product conversion rates for developing drugs targeting the receptors,and species variability.Some scientists have focused on natural medicines,especially herbal medicines in traditional Chinese medicine.New drugs with excellent anxiolytic activity are hoped to be found in herbal medicines with anxiolytic effects.This mini-review summarised three Chinese herbal medicines with anxiolytic effects and anxiolytic herbal formulas used in the traditional Chinese medicine clinic.Several key issues that block the development of new anxiolytic drugs are also discussed.We hope to provide some ideas for researching and developing new anxiolytic drugs and studying anxiolytic components in traditional Chinese medicine.

Comprehensive effects of traditional Chinese medicine treatment on heart failure and changes in B-type natriuretic peptide levels: A meta-analysis

BACKGROUND Heart failure(HF),a common cardiovascular condition,is characterized by significant morbidity and mortality.While traditional Chinese medicine(TCM)is often used as a complementary approach in HF management,systematic evalua-tions of its impact on clinical outcomes,TCM syndrome scores,and B-type natriuretic peptide(BNP)levels are lacking.This study fills this gap through a comprehensive analysis of randomized controlled trials(RCTs)focusing on TCM for HF treatment.It encompasses an assessment of methodological quality,a meta-analysis,and an evaluation of evidence quality based on established standards.The results offer crucial insights into the potential advantages and constraints of TCM in HF management.RCTs on TCM for HF treatment published since the establishment of the database were searched in four Chinese and English databases,including China National Knowledge Infrastructure,Wanfang,VIP Information Chinese Science and Technology Journal,and PubMed.Methodological quality was assessed for the included studies with the Cochrane risk-of-bias assessment tool,and the meta-analysis and publication bias assessment was performed with the RevMan5.3 software.Finally,the quality of evidence was rated according to the GRADE criteria.RESULTS A total of 1098 RCTs were initially retrieved.After screening,16 RCTs were finally included in our study,which were published between 2020 and 2023.These RCTs involved 1660 HF patients,including 832 in the TCM group[TCM combined with conventional Western medicine(CMW)treatment]and 828 in the CWM group(CWM treatment).The course of treatments varied from 1 wk to 3 months.TCM syndrome differentiation was analyzed in 11 of the included RCTs.In all included RCTs,outcome indicators included comprehensive clinical outcomes,TCM syndrome scores,and BNP levels.The meta-analysis results showed significant differences between the TCM and CWM groups in terms of comprehensive clinical outcomes[risk ratio=-0.54;95%confidence interval(CI)=-0.61,-0.47;P<0.00001],TCM syndrome scores[weighted mean difference(WMD)=-142.07;95%CI=-147.56,-136.57;P<0.00001],and BNP levels(WMD=-142.07;95%CI=-147.56,-136.57;P<0.00001).According to the GRADE criteria,RCTs where"TCM improves clinical comprehensive outcomes"were rated as low-quality evidence,and RCTs where"TCM reduces TCM syndrome scores"or"TCM decreases BNP levels"were rated as medium-quality evidence.CONCLUSION TCM combined with CWM treatment effectively improves comprehensive clinical outcomes and diminishes TCM syndrome scores and BNP levels in HF patients.Given the low and medium quality of the included RCTs,the application of these results should be cautious.

Review of Research on English Translation of Chinese Running Sentences

In order to convey complete meanings,there is a phenomenon in Chinese of using multiple running sentences.Xu Jingning(2023,p.66)states,“In communication,a complete expression of meaning often requires more than one clause,which is common in human languages.”Domestic research on running sentences includes discussions on defining the concept and structural features of running sentences,sentence properties,sentence pattern classifications and their criteria,as well as issues related to translating running sentences into English.This article primarily focuses on scholarly research into the English translation of running sentences in China,highlighting recent achievements and identifying existing issues in the study of running sentence translation.However,by reviewing literature on the translation of running sentences,it is found that current research in the academic community on non-core running sentences is limited.Therefore,this paper proposes relevant strategies to address this issue.

Pioneering a New Realm of Human Rights Civilization in the Chinese Path to Modernization——An Overview of the Symposium on“The Chinese Path to Modernization and the Promotion of Free and Comprehensive Human Development”

On October 14,2023,a symposium themed“The Chinese Path to Modernization and the Promotion of Free and Comprehensive Human Development”was held in Changchun,Jilin Province,China.More than fifty experts,scholars,and researchers from national institutions and universities engaged in discussions and exchanges on human rights on the Chinese path to modernization,including the path,practice,knowledge systems,and civilization forms of human rights.This symposium played a significant role in advancing the construction of the disciplinary system,academic system,and discourse system of human rights in China.

The Historical Evolution of Chinese Education in the United States

Chinese education in America is a cultural product of Chinese immigrants to the United States.In 1848,the California Gold Rush attracted many Chinese to the United States,and gradually formed Chinese communities in the local area,and then spontaneously produced Chinese education.At that time,San Francisco Chinatown was the largest Chinatown in the United States,and its Chinese education showed representative characteristics.By studying the origin and development of Chinese education in San Francisco,this paper analyzes the characteristics of Chinese education in the United States,in order to provide experience and reference for contemporary Chinese education in the United States.

“Chineseness”:A Discussion on Cases Related to Tulou in Contemporary Chinese Architecture

The article delves into the concept of“Chineseness”in contemporary Chinese architecture,a strategic tool for creating distinctive styles rooted in Chinese identity.It serves not only to distinguish projects from market-driven trends but also to establish a pivotal position in the global architectural landscape.“Chineseness”among 24 identified keywords represents a practical strategy embraced by many young architects with international exposure.The traditional Chinese dwelling,a symbol of familial and cultural essence,particularly in the context of home culture,is a primary inspiration for contemporary architects.The research adopts a case study approach,focusing on Tulou-related cases from the last fifteen years,encompassing various building types.The Tulou,a mountain-dwelling with rich cultural connotations,is introduced,reflecting ancient Chinese philosophies in its architectural principles.The case studies,including URBANUS’s“Tulou Collective Housing 2008”and Chengdu’s“Tulou Theater,”demonstrate how Tulou prototypes can be creatively adapted.These designs not only replicate forms but also capture the communal spirit inherent in traditional dwellings.“Stepped Courtyards”by OPEN Architecture reinterprets Tulou typology for a staff dormitory,emphasizing community awareness.In conclusion,the concept of“Chineseness”emerges as a prominent topic,showcasing the dynamic and adaptable nature of traditional Chinese culture and modern architectural expressions.The cases illustrate the evolving intersection between traditional Chinese culture and modern architecture,offering insights into the future trajectory of Chinese architectural culture.The interrelated keywords highlight the nuanced and evolving nature of“Chineseness”in architectural practices.

Numeral Classifiers in Chinese:The Syntax-Semantics Interface评介

关于汉语数量结构的研究成果颇丰,主要有两种观点,第一种观点以Cheng&Sybesma(1998/2005)的count classifiers和mass classifiers的区分为代表,第二种观点以Rothstein(2009/2010)、李旭平(2013)的classifiers of counting和classifiers of measure的区分为代表。本文介绍李旭平2013年出版的Numeral Classifiers in Chinese:The Syntax-Semantics Interface一书,介绍其汉语计数量词与计量量词的理论,并作简要评价。

A Study on the Pedagogical Application of Chinese New Year Culture in International Chinese Language Education

Culture teaching is an inseparable part of International Chinese Language Education,and it has great significance in international Chinese language teaching.Students can enhance their interest in Chinese language learning and improve their learning effect through understanding the excellent traditional Chinese culture,at the same time,culture teaching can help to disseminate the Chinese culture and promote the development of a multicultural world.Taking the teaching of Chinese New Year culture as an example,we analyze the current teaching materials involving Chinese New Year culture with high popularity and acceptance,put forward effective teaching methods matching the feasibility of teaching Chinese New Year culture,and then present the specific teaching design of Chinese New Year culture,in order to provide references for the teaching of culture in International Chinese Language Education.

Advances in Research Methods of Pharmacodynamic Substances in Traditional Chinese Medicines and Their Application in the Teaching of Traditional Chinese Medicine Analysi

With the continuous progress of science and technology,the research methods of pharmacodynamic substances in traditional Chinese medicine are developing,and the application of these methods in teaching is becoming more and more extensive.By introducing these research methods into the classroom,teachers can help students to deeply understand the nature and mechanism of action of pharmacodynamic substances in traditional Chinese medicine,and improve their interest in and knowledge of traditional Chinese medicine.This paper introduces the definition of pharmacodynamic substances in traditional Chinese medicine,research methods,and their application in the teaching of traditional Chinese medicine analysis.

Traditional Chinese Medicine's Spleen Strengthening and Intestinal Microecology

The"spleen"in traditional Chinese medicine is the"acquired foundation"and the"source of qi and blood biochemistry".Strengthening the"spleen"is one of the important treat‐ment methods in traditional Chinese medicine;The gut microbiota has been a hot topic in modern scientific research in recent years,and its nutritional and immune functions correspond to some of the functions of the spleen in traditional Chinese medicine.In terms of philosophy,traditional Chinese medicine emphasizes the balance between the spleen and the gut microbiota,emphasizing the importance of supporting the right and eliminating evil,preventing diseases before they occur,seeking the root cause of treat‐ment,and adapting measures to the three causes;Clinically,the treatment of obesity,con‐stipation,diarrhea and other diseases by invigorating the spleen and the treatment mechanism of acupuncture and moxibustion,chiropractic and invigorating the spleen are all related to microecology.This article combines relevant literature on traditional Chinese medicine's"spleen"and"spleen health"to explore the treatment concept,clinical application,and correlation with intestinal microbiota of traditional Chinese medicine's"spleen health".It also elaborates on the latest literature,aiming to exchange ideas with peers and promote research on the microbiota of traditional Chinese medicine's"spleen".

Synergistic effects of carbon cycle metabolism and photosynthesis in Chinese cabbage under salt stress

Chinese cabbage(Brassica rapa ssp. pekinensis) has a long cultivation history and is one of the vegetable crops with the largest cultivation area in China. However, salt stress severely damages photosynthesis and hormone metabolism, nutritional balances, and results in ion toxicity in plants. To better understand the mechanisms of salt-induced growth inhibition in Chinese cabbage, RNA-seq and physiological index determination were conducted to explore the impacts of salt stress on carbon cycle metabolism and photosynthesis in Chinese cabbage. Here, we found that the number of thylakoids and grana lamellae and the content of starch granules and chlorophyll in the leaves of Chinese cabbage under salt stress showed a time-dependent response, first increasing and then decreasing. Chinese cabbage increased the transcript levels of genes related to the photosynthetic apparatus and carbon metabolism under salt stress, probably in an attempt to alleviate damage to the photosynthetic system and enhance CO_(2) fixation and energy metabolism. The transcription of genes related to starch and sucrose synthesis and degradation were also enhanced;this might have been an attempt to maintain intracellular osmotic pressure by increasing soluble sugar concentrations. Soluble sugars could also be used as potential reactive oxygen species(ROS) scavengers, in concert with peroxidase(POD)enzymes, to eliminate ROS that accumulate during metabolic processes. Our study characterizes the synergistic response network of carbon metabolism and photosynthesis under salt stress.

Understandings of Urban Sustainability in China:a Bibliometric Analysis Using Chinese Literatures

Cities hold a critical responsibility for achieving the Sustainable Development Goals(SDGs)due to their high population density,extensive resource consumption,and significant economic contributions.To examine the present state of understandings regarding urban sustainability(SDG 11:Sustainable Cities and Communities)within Chinese research communities,this study collected 15950 papers from 1994 to 2022 on the 12 indicators of SDG 11,from the China National Knowledge Infrastructure(CNKI),a hub of Chinese academic papers,that directly relate to policymaking.Significant research topics on SDG 11 were identified for each indicator using bibliometrics analysis approaches.The high-frequency keywords and clusters of keywords over the last three decades reveal that existing studies primarily concentrated on the physical aspects,such as transportation and environment,while there is a lack of consideration of societal aspects.This indicates a limited and biased understanding of the urban sustainability within the Chinese academic community.Hence,it is crucial to prioritize the societal aspects in order to develop a research agenda that further advances urban sustainability.

Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record(QAR)Data Analysis

As the risks associated with air turbulence are intensified by climate change and the growth of the aviation industry,it has become imperative to monitor and mitigate these threats to ensure civil aviation safety.The eddy dissipation rate(EDR)has been established as the standard metric for quantifying turbulence in civil aviation.This study aims to explore a universally applicable symbolic classification approach based on genetic programming to detect turbulence anomalies using quick access recorder(QAR)data.The detection of atmospheric turbulence is approached as an anomaly detection problem.Comparative evaluations demonstrate that this approach performs on par with direct EDR calculation methods in identifying turbulence events.Moreover,comparisons with alternative machine learning techniques indicate that the proposed technique is the optimal methodology currently available.In summary,the use of symbolic classification via genetic programming enables accurate turbulence detection from QAR data,comparable to that with established EDR approaches and surpassing that achieved with machine learning algorithms.This finding highlights the potential of integrating symbolic classifiers into turbulence monitoring systems to enhance civil aviation safety amidst rising environmental and operational hazards.

Using Cross Entropy as a Performance Metric for Quantifying Uncertainty in DNN Image Classifiers: An Application to Classification of Lung Cancer on CT Images

Cross entropy is a measure in machine learning and deep learning that assesses the difference between predicted and actual probability distributions. In this study, we propose cross entropy as a performance evaluation metric for image classifier models and apply it to the CT image classification of lung cancer. A convolutional neural network is employed as the deep neural network (DNN) image classifier, with the residual network (ResNet) 50 chosen as the DNN archi-tecture. The image data used comprise a lung CT image set. Two classification models are built from datasets with varying amounts of data, and lung cancer is categorized into four classes using 10-fold cross-validation. Furthermore, we employ t-distributed stochastic neighbor embedding to visually explain the data distribution after classification. Experimental results demonstrate that cross en-tropy is a highly useful metric for evaluating the reliability of image classifier models. It is noted that for a more comprehensive evaluation of model perfor-mance, combining with other evaluation metrics is considered essential. .