Many approaches have been tried for the classication of arrhythmia.Due to the dynamic nature of electrocardiogram(ECG)signals,it is challenging to use traditional handcrafted techniques,making a machine learning(ML)im...Many approaches have been tried for the classication of arrhythmia.Due to the dynamic nature of electrocardiogram(ECG)signals,it is challenging to use traditional handcrafted techniques,making a machine learning(ML)implementation attractive.Competent monitoring of cardiac arrhythmia patients can save lives.Cardiac arrhythmia prediction and classication has improved signicantly during the last few years.Arrhythmias are a group of conditions in which the electrical activity of the heart is abnormal,either faster or slower than normal.It is the most frequent cause of death for both men and women every year in the world.This paper presents a deep learning(DL)technique for the classication of arrhythmias.The proposed technique makes use of the University of California,Irvine(UCI)repository,which consists of a high-dimensional cardiac arrhythmia dataset of 279 attributes.In this research,our goal was to classify cardiac arrhythmia patients into 16 classes depending on the characteristics of the electrocardiography dataset.The DL approach in the form of long short-term memory(LSTM)is an efcient technique to deal with reduced accuracy due to vanishing and exploding gradients in traditional DL frameworks for big data analysis.The goal of this research was to categorize cardiac arrhythmia patients by developing an efcient intelligent system using the LSTM DL algorithm.This approach to arrhythmia classication includes classication algorithms along with noise removal techniques.Therefore,we utilized principal components analysis(PCA)for noise removal,and LSTM for classication.This hybrid comprehensive arrhythmia classication approach performs better than previous approaches to arrhythmia classication.We attained a highest classication accuracy of 93.5%with the DL based disease classication system,and outperformed the earlier approaches used for cardiac arrhythmia classication.展开更多
In the area of medical image processing,stomach cancer is one of the most important cancers which need to be diagnose at the early stage.In this paper,an optimized deep learning method is presented for multiple stomac...In the area of medical image processing,stomach cancer is one of the most important cancers which need to be diagnose at the early stage.In this paper,an optimized deep learning method is presented for multiple stomach disease classication.The proposed method work in few important steps—preprocessing using the fusion of ltering images along with Ant Colony Optimization(ACO),deep transfer learning-based features extraction,optimization of deep extracted features using nature-inspired algorithms,and nally fusion of optimal vectors and classication using Multi-Layered Perceptron Neural Network(MLNN).In the feature extraction step,pretrained Inception V3 is utilized and retrained on selected stomach infection classes using the deep transfer learning step.Later on,the activation function is applied to Global Average Pool(GAP)for feature extraction.However,the extracted features are optimized through two different nature-inspired algorithms—Particle Swarm Optimization(PSO)with dynamic tness function and Crow Search Algorithm(CSA).Hence,both methods’output is fused by a maximal value approach and classied the fused feature vector by MLNN.Two datasets are used to evaluate the proposed method—CUI WahStomach Diseases and Combined dataset and achieved an average accuracy of 99.5%.The comparison with existing techniques,it is shown that the proposed method shows signicant performance.展开更多
In recent years,the application of a smart city in the healthcare sector via loT systems has continued to grow exponentially and various advanced network intrusions have emerged since these loT devices are being conne...In recent years,the application of a smart city in the healthcare sector via loT systems has continued to grow exponentially and various advanced network intrusions have emerged since these loT devices are being connected.Previous studies focused on security threat detection and blocking technologies that rely on testbed data obtained from a single medical IoT device or simulation using a well-known dataset,such as the NSL-KDD dataset.However,such approaches do not reect the features that exist in real medical scenarios,leading to failure in potential threat detection.To address this problem,we proposed a novel intrusion classication architecture known as a Multi-class Classication based Intrusion Detection Model(M-IDM),which typically relies on data collected by real devices and the use of convolutional neural networks(i.e.,it exhibits better performance compared with conventional machine learning algorithms,such as naïve Bayes,support vector machine(SVM)).Unlike existing studies,the proposed architecture employs the actual healthcare IoT environment of National Cancer Center in South Korea and actual network data from real medical devices,such as a patient’s monitors(i.e.,electrocardiogram and thermometers).The proposed architecture classies the data into multiple classes:Critical,informal,major,and minor,for intrusion detection.Further,we experimentally evaluated and compared its performance with those of other conventional machine learning algorithms,including naïve Bayes,SVM,and logistic regression,using neural networks.展开更多
Here,we use multi-type feature fusion and selection to predict COVID-19 infections on chest computed tomography(CT)scans.The scheme operates in four steps.Initially,we prepared a database containing COVID-19 pneumonia...Here,we use multi-type feature fusion and selection to predict COVID-19 infections on chest computed tomography(CT)scans.The scheme operates in four steps.Initially,we prepared a database containing COVID-19 pneumonia and normal CT scans.These images were retrieved from the Radiopaedia COVID-19 website.The images were divided into training and test sets in a ratio of 70:30.Then,multiple features were extracted from the training data.We used canonical correlation analysis to fuse the features into single vectors;this enhanced the predictive capacity.We next implemented a genetic algorithm(GA)in which an Extreme Learning Machine(ELM)served to assess GA tness.Based on the ELM losses,the most discriminatory features were selected and saved as an ELM Model.Test images were sent to the model,and the best-selected features compared to those of the trained model to allow nal predictions.Validation employed the collected chest CT scans.The best predictive accuracy of the ELM classier was 93.9%;the scheme was effective.展开更多
Mosquito-borne diseases pose a significant global health threat,necessitating the development of innovative vector control strategies.In this study,we investigated the potential of harnessing host immunity against mos...Mosquito-borne diseases pose a significant global health threat,necessitating the development of innovative vector control strategies.In this study,we investigated the potential of harnessing host immunity against mosquitoes through vaccination.Using Culex pipiens(C.pipiens)as a model,we demonstrated that polyclonal antibodies against C.pipiens abdominal protein extracts significantly impaired oviposition and increased mosquito mortality,primarily through the classical complement activation pathways.However,repeated exposure led to resistance,indicating potential adaptation.Proteomic analysis identified metabolic proteins as key targets,with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses highlighting their roles in carboxylic acid metabolism,tyrosine degradation,and the proteasome pathways.Notably,cross-species reactivity was revealed by Western blotting,showing strong binding of Culex-specific antibodies to Anopheles and Aedes abdominal proteins.This study provides mechanistic insights into antibody-based mosquito suppression,highlighting its potential as an innovative vector control strategy while underscoring the need for further research on resistance management and ecological impacts.展开更多
Background:The recently developed Depression,Anxiety,and Stress Scales–Youth Version(DASS-Y)shows promise as a tool for assessing youth mental health,but its consistency across timepoints and diverse ages remains und...Background:The recently developed Depression,Anxiety,and Stress Scales–Youth Version(DASS-Y)shows promise as a tool for assessing youth mental health,but its consistency across timepoints and diverse ages remains underexplored.The present study evaluated whether the DASS-Y reliably measured depression,anxiety,and stress among school-aged youth(aged 9–18 years)across distinct time periods and educational stages.Methods:Two studies were conducted.Study 1 examined consistency over three months using data from 736 Central Chinese high school students who completed surveys at both timepoints.Study 2 tested consistency across educational levels among 2321 primary and 1676 middle school students.Traditional confirmatory factor analysis(CFA),exploratory structural equation modeling(ESEM),and Rasch analysis were employed to assess the scale’s construct validity and measurement invariance.Results:Rasch analysis indicated acceptable DASS-Y item fit(infit/outfit statistics=0.50–1.50)and moderate test-retest reliability(ICCs=0.64–0.69).The ESEM approach demonstrated superior model fit compared to CFA,achieving a good RMSEA(0.056–0.062)and lower latent factor correlations(r=0.40–0.60),supporting longitudinal scalar invariance.Across educational levels,measurement invariance was supported,with only a small number of items exhibiting differential item functioning(DIF).Conclusion:The present study demonstrates that the DASS-Y is a reliable tool for assessing emotional health among non-clinical school-aged youth,offering educators a validated measure to monitor psychological well-being across developmental stages and time,thereby informing strategies to support youth mental health in community and educational settings.Future research among clinical populations is needed to extend its utility for diagnostic purposes.展开更多
After the“Ballad Movement”in the early 20th century revealed and systematized the Liang Zhu legend,numerous literary works had created a rich body of classic reinterpretations.This paper argues that Yang Yinshen’s ...After the“Ballad Movement”in the early 20th century revealed and systematized the Liang Zhu legend,numerous literary works had created a rich body of classic reinterpretations.This paper argues that Yang Yinshen’s A Storm stands as the earliest modern literary creation that actively embraced the folk Liang Zhu legend.By situating the ancient story of Zhu Yingtai in a contemporary context,the play replaces the traditional core values of“loyalty and righteousness”with modern themes of pursuing free love,amplifying women’s autonomy.Through a modern tragic love story,it achieves a classic reinterpretation of the classical folk legend.The“revised narrative”in A Storm primarily involves derivative adaptations,incorporating contemporary revisions to characters and themes.Its three-act structure also forms the foundational framework for subsequent reinterpretations of the Liang Zhu legend.The play demonstrates a conscious absorption of the rebellious spirit in folk literature,incorporates dialectal speech,and provides valuable insights into how modern literature can utilize oral traditions.展开更多
NCPA Drama Pride and Prejudice Date:March 31-April 5,2026 Venue:National Centre for the Performing Arts The timeless masterpiece Pride and Prejudice by the great British literary figure Jane Austen has become a classi...NCPA Drama Pride and Prejudice Date:March 31-April 5,2026 Venue:National Centre for the Performing Arts The timeless masterpiece Pride and Prejudice by the great British literary figure Jane Austen has become a classic in world literature with its witty writing,profound insights into human nature,and eternal theme of love.The National Centre for the Performing Arts will proudly stage a drama of the same name,reinterpreting this Western literary classic from a contemporary perspective while staying true to the spirit of the original work,giving it new dramatic vitality.展开更多
Background:The historical trajectory of TCM appropriate technologies spans from their primordial origins in daily life practices,through the systematization of classical theoretical frameworks,to modern scientific val...Background:The historical trajectory of TCM appropriate technologies spans from their primordial origins in daily life practices,through the systematization of classical theoretical frameworks,to modern scientific validation and health management applications.Methods:Employing literature review and historical analysis methodologies,this study systematically traces and synthesizes the entire developmental pathway of TCM appropriate technologies.Results:The analysis reveals the intrinsic developmental patterns of these technologies and underscores their practical significance in“preventive treatment”and chronic condition management.A key exemplar of modern innovation is presented:the Hand Twelve Jing-Well Points Exercise.This non-invasive technique adapts the classical Jing-Well Points(jǐng xué)theory,extending its traditional functions in emergency care and brain health from a focus on“treating established diseases”to the paradigm of“preventive treatment.”Conclusion:This research provides a comprehensive case study for the systematic investigation of TCM appropriate technologies.It elucidates a model of inheritance and innovation within modern healthcare systems and offers a theoretical foundation for the promotion and cultural dissemination of these practices.展开更多
For more than four hundred years,the modern medical system has primarily inherited the Western cultural tradition and taken shape gradually on the basis of innovating classical Western medicine.In the tradition of anc...For more than four hundred years,the modern medical system has primarily inherited the Western cultural tradition and taken shape gradually on the basis of innovating classical Western medicine.In the tradition of ancient Greek medicine,the Hippocratic school and its successor,the Galenic school,based their medical understanding on the humoral theory and theory of temperaments,holding that there exists an intimate connection between human bodily functions and the mind.展开更多
Objectives:The PACIFIC trial established the benefit of durvalumab following chemo-radiotherapy for stage III non-small cell lung cancer(NSCLC).However,the concurrent use of radiotherapy(RT)and durvalumab(PACIFIC-2 tr...Objectives:The PACIFIC trial established the benefit of durvalumab following chemo-radiotherapy for stage III non-small cell lung cancer(NSCLC).However,the concurrent use of radiotherapy(RT)and durvalumab(PACIFIC-2 trial)showed no additional advantage.The PD-RAD study was set up to understand the immunological effects of RT on the tumor microenvironment(TME)to aid in optimizing sequencing of combination therapies.Methods:The PD-RAD trial(ClinicalTrials.gov identifier:NCT03258788)aimed to enroll thirty NSCLC patients receiving radical-intent RT.Tumor biopsies and blood samples were collected pre-RT and at week 2 during RT and analyzed using multiplex immunohistochemistry(mIHC)and high-dimensional mass cytometry(CyTOF),respectively.Results:Paired biopsies were collected from only three patients(Pts 1,3&4)and blood from four patients(Pts 1-4)before the study was closed early during the COVID-19 pandemic.Programmed Death-Ligand 1(PD-L1)expression in the TME was raised in Patient 1,who responded well to treatment,and unaltered in two patients with progressive disease.CyTOF analysis revealed elevated circulating classical monocytes,highest in the patient with a good response.Conclusions:This study underscores the challenges of integrating advanced immune monitoring during RT delivery and did not meet its primary endpoint.The hypothesis-generating findings highlight PD-L1+macrophages in the TME and classical monocytes in the blood as potential immune biomarkers of RT response,but larger studies are needed to validate these observations and characterize the immune changes following curative-intent RT in patients with NSCLC.展开更多
High-pressure hydrides have emerged as promising superconducting materials,attracting considerable attention in recent years.In this work,by combining the stochastic self-consistent harmonic approximation with first-p...High-pressure hydrides have emerged as promising superconducting materials,attracting considerable attention in recent years.In this work,by combining the stochastic self-consistent harmonic approximation with first-principles calculations,we elucidate crucial corrections to the vibrational and superconducting properties arising from quantum and anharmonic ionic vibrations of SnH4 in P63/mmc phase at 150–240 GPa.Compared with the classical harmonic approximation,inclusion of these effects results in a pronounced softening(over 500 cm^(−1))of hydrogen-derived optical phonon modes,and increases the superconducting critical temperature(Tc)from 65 K to 79 K(μ^(*)=0.1;isotropic Migdal–Eliashberg theory),corresponding to a 22%enhancement.For μ^(*)=0.13,the predicted Tc is approximately 70 K.Analysis of the Eliashberg spectral function confirms that hydrogen vibrational modes constitute the dominant tuning mechanism.These results provide quantitative insights into quantum ionic effects in hydride superconductors.展开更多
Pinelliae Rhizoma(PR),known as Banxia in Chinese,Hange in Japanese,and Banha in Korean,is a renowned herbal medicine in East Asia derived from the dry tuber of Pinellia ternata(Thunb.)Breit.(PT).It is extensively util...Pinelliae Rhizoma(PR),known as Banxia in Chinese,Hange in Japanese,and Banha in Korean,is a renowned herbal medicine in East Asia derived from the dry tuber of Pinellia ternata(Thunb.)Breit.(PT).It is extensively utilized in dispensing granules,classical prescriptions,and herbal formulas to treat various conditions,including cough,infection,phlegm,nausea,asthma,and inflammation.Despite numerous studies on PR and its classical prescriptions over recent decades,a comprehensive synthesis of available evidence regarding its multifunctional roles and therapeutic potential is lacking.This review aims to address this gap by examining emerging evidence from metabonomics,preclinical studies,and clinical trials,while exploring potential trends and prospects for future research.A systematic literature search was conducted across six electronic databases,including Pub Med,Web of Science,Scopus,Science Direct,Wanfang,and China National Knowledge Infrastructure,to identify relevant articles on PR published until March 2023.PR contains 107 compounds with diverse pharmacological activities,including anti-inflammatory,immune regulatory,anti-viral,anti-cancer,anti-asthma,antitussive and expectorant,antioxidant,anti-obesity,anti-atherosclerosis,antimicrobial,emetic and anti-emetic,anti-convulsant and anti-epileptic,sedative and hypnotic,learning and memory enhancement,and anti-depressant effects.Metabonomic studies suggest that raw PR may exhibit cardiotoxicity and pregnancy toxicity while showing no apparent hepatorenal toxicity.However,limited pharmacokinetic investigations on PR constrain its clinical translation.Furthermore,clinical safety data on PR is scarce,with only four clinical trials assessing its positive effects in pediatric epilepsy,nausea and vomiting,soft tissue injury,and chronic sinus tract.This review aims to enhance understanding of PR and provide valuable information and recommendations for further research and development of herbal medicine.展开更多
Angiomyolipomas(AMLs)represent the most common benign solid renal tumors.The frequency of their detection in the general population is increasing owing to advances in imaging technology.The objective of this review is...Angiomyolipomas(AMLs)represent the most common benign solid renal tumors.The frequency of their detection in the general population is increasing owing to advances in imaging technology.The objective of this review is to discuss computed tomography(CT)and magnetic resonance imaging findings for both typical and atypical renal AMLs,along with their associated complications.AMLs are typically defined as solid triphasic tumors composed of varying amounts of dysmorphic and tortuous blood vessels,smooth muscle components and adipose tissue.In an adult,a classical renal AML appears as a solid,heterogeneous renal cortical mass with macroscopic fat.However,up to 5%of AMLs contain minimal fat and cannot be reliably diagnosed by imaging.Fat-poor AMLs can appear as hyperattenuating masses on unenhanced CT and as hypointense masses on T2WI;other AMLs may be isodense or exhibit cystic components.Hemorrhage is the most common complication,and AMLs with hemorrhage can mimic other tumors,making their diagnosis challenging.Understanding the variable and heterogeneous nature of this neoplasm to correctly classify renal AMLs and to avoid misdiagnosis of other renal lesions is crucial.展开更多
Photoelectrochemical(PEC)water splitting using bismuth vanadate(BiVO_(4))as a photoanode shows promise for renewable hydrogen production.Depositing cobalt phosphate(CoPi)on the BiVO_(4)photoanode as an oxygen evolutio...Photoelectrochemical(PEC)water splitting using bismuth vanadate(BiVO_(4))as a photoanode shows promise for renewable hydrogen production.Depositing cobalt phosphate(CoPi)on the BiVO_(4)photoanode as an oxygen evolution cocatalyst(OEC)is an effective method to improve the PEC performance.However,the CoPi/BiVO_(4)photoanode still faces challenges in terms of slow interface photogenerated carrier transport.Herein,we utilize the advantage of the classical strong metal-support interaction(SMSI)between Au and BiVO_(4)to prepare a CoPi/Au/BiVO_(4)(SMSI-CoPi/Au/BiVO_(4))photoanode.Due to the formation of SMSI,the accumulated electrons at the interface of CoPi/Au induce the accelerated extraction of photogenerated holes.Meanwhile,the active electron density of CoPi is increased,leading to improved water oxidation kinetic.As a result,the SMSI-CoPi/Au/BiVO_(4)photoanode exhibits a high photocurrent density of 5.01 m A cm^(-2)at 1.23 V versus the reversible hydrogen electrode and an applied bias photon-to-current efficiency of 1.78%.This work highlights a novel approach to enhance hole transfer and water oxidation kinetics of OEC/BiVO_(4)composite photoanodes,offering the great potential of using SMSI for PEC water splitting.展开更多
Objective Randomized controlled trials(RCTs)of Chinese patent medicines and classic tra-ditional Chinese medicine prescriptions were systematically reviewed from both Chinese and English journals published in 2023.A p...Objective Randomized controlled trials(RCTs)of Chinese patent medicines and classic tra-ditional Chinese medicine prescriptions were systematically reviewed from both Chinese and English journals published in 2023.A preliminary summary and evaluation were conducted on the generation and translation of clinical evidence for these treatments.This analysis aims to inform future research on clinical efficacy evaluation and guide the rational application of evidence.Methods RCTs of Chinese patent medicines and classic traditional Chinese prescriptions published in 2023 were comprehensively retrieved from the Artificial Intelligence Clinical Evi-dence Database for Chinese Patent Medicine(AICED-CPM),with supplementary searches conducted in China National Knowledge Infrastructure(CNKI),Wanfang Data,Chinese Sci-ence and Technology Journal Database(VIP),Chinese Biomedical Literature Database(SinoMed),Cochrane Library,PubMed,Embase,and Web of Science.The study characteris-tics and methodological quality of these RCTs were systematically analyzed and evaluated.Results A total of 1443 RCTs of Chinese patent medicines were included,comprising 1399 Chinese articles and 44 English articles.Additionally,334 RCTs of classic traditional Chinese medicine prescriptions were found,with 331 published in Chinese and 3 in English.196567 participants were included,covering 585 types of Chinese patent medicines(487 oral,61 in-jectable,and 37 topical)and 179 classic traditional Chinese medicine prescriptions.The in-volved studies encompassed 22 types of diseases,with research primarily focusing on dis-eases of the circulatory system,the respiratory system,and the genitourinary system.The sample sizes ranged from 18 to 3777 participants,and most studies were conducted at a sin-gle center.Methodologically,the implementation of allocation concealment and blinding re-mained insufficiently emphasized.Conclusion Overall,compared with 2022,both the number of RCT publications and their methodological quality have improved in 2023,with heightened attention to research on diseases of the genitourinary system.However,quality control and standardized management in the design and implementation processes still require enhancement to produce more high-quality clinical evidence and accelerate the translation and application of this evidence.展开更多
A Receiver Operating Characteristic(ROC)analysis of a power is important and useful in clinical trials.A Classical Conditional Power(CCP)is a probability of a classical rejection region given values of true treatment ...A Receiver Operating Characteristic(ROC)analysis of a power is important and useful in clinical trials.A Classical Conditional Power(CCP)is a probability of a classical rejection region given values of true treatment effect and interim result.For hypotheses and reversed hypotheses under normal models,we obtain analytical expressions of the ROC curves of the CCP,find optimal ROC curves of the CCP,investigate the superiority of the ROC curves of the CCP,calculate critical values of the False Positive Rate(FPR),True Positive Rate(TPR),and cutoff of the optimal CCP,and give go/no go decisions at the interim of the optimal CCP.In addition,extensive numerical experiments are carried out to exemplify our theoretical results.Finally,a real data example is performed to illustrate the go/no go decisions of the optimal CCP.展开更多
Exploring Greco-Roman and Chinese classics reveals timeless insights for navigating modern crises.THE enduring wisdom of ancient Greece and China–often found in their classics–holds profound potential to address to...Exploring Greco-Roman and Chinese classics reveals timeless insights for navigating modern crises.THE enduring wisdom of ancient Greece and China–often found in their classics–holds profound potential to address today’s pressing global challenges.This vital connection was powerfully underscored at the Second Global Forum on Mutual Learning among Civilizations.展开更多
基金supported by the Ministry of Science,ICT,Korea,under the Information Technology Research Center support program(IITP-2020-2016-0-00465),(www.msit.go.kr)supervised by the IITP(Institute for Information&Communications Technology Promotion。
文摘Many approaches have been tried for the classication of arrhythmia.Due to the dynamic nature of electrocardiogram(ECG)signals,it is challenging to use traditional handcrafted techniques,making a machine learning(ML)implementation attractive.Competent monitoring of cardiac arrhythmia patients can save lives.Cardiac arrhythmia prediction and classication has improved signicantly during the last few years.Arrhythmias are a group of conditions in which the electrical activity of the heart is abnormal,either faster or slower than normal.It is the most frequent cause of death for both men and women every year in the world.This paper presents a deep learning(DL)technique for the classication of arrhythmias.The proposed technique makes use of the University of California,Irvine(UCI)repository,which consists of a high-dimensional cardiac arrhythmia dataset of 279 attributes.In this research,our goal was to classify cardiac arrhythmia patients into 16 classes depending on the characteristics of the electrocardiography dataset.The DL approach in the form of long short-term memory(LSTM)is an efcient technique to deal with reduced accuracy due to vanishing and exploding gradients in traditional DL frameworks for big data analysis.The goal of this research was to categorize cardiac arrhythmia patients by developing an efcient intelligent system using the LSTM DL algorithm.This approach to arrhythmia classication includes classication algorithms along with noise removal techniques.Therefore,we utilized principal components analysis(PCA)for noise removal,and LSTM for classication.This hybrid comprehensive arrhythmia classication approach performs better than previous approaches to arrhythmia classication.We attained a highest classication accuracy of 93.5%with the DL based disease classication system,and outperformed the earlier approaches used for cardiac arrhythmia classication.
基金supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist)and the Soonchunhyang University Research Fund.
文摘In the area of medical image processing,stomach cancer is one of the most important cancers which need to be diagnose at the early stage.In this paper,an optimized deep learning method is presented for multiple stomach disease classication.The proposed method work in few important steps—preprocessing using the fusion of ltering images along with Ant Colony Optimization(ACO),deep transfer learning-based features extraction,optimization of deep extracted features using nature-inspired algorithms,and nally fusion of optimal vectors and classication using Multi-Layered Perceptron Neural Network(MLNN).In the feature extraction step,pretrained Inception V3 is utilized and retrained on selected stomach infection classes using the deep transfer learning step.Later on,the activation function is applied to Global Average Pool(GAP)for feature extraction.However,the extracted features are optimized through two different nature-inspired algorithms—Particle Swarm Optimization(PSO)with dynamic tness function and Crow Search Algorithm(CSA).Hence,both methods’output is fused by a maximal value approach and classied the fused feature vector by MLNN.Two datasets are used to evaluate the proposed method—CUI WahStomach Diseases and Combined dataset and achieved an average accuracy of 99.5%.The comparison with existing techniques,it is shown that the proposed method shows signicant performance.
基金supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute(KHIDI)funded by the Ministry of Health&Welfare,Republic of Korea(Grant No.HI19C0839)。
文摘In recent years,the application of a smart city in the healthcare sector via loT systems has continued to grow exponentially and various advanced network intrusions have emerged since these loT devices are being connected.Previous studies focused on security threat detection and blocking technologies that rely on testbed data obtained from a single medical IoT device or simulation using a well-known dataset,such as the NSL-KDD dataset.However,such approaches do not reect the features that exist in real medical scenarios,leading to failure in potential threat detection.To address this problem,we proposed a novel intrusion classication architecture known as a Multi-class Classication based Intrusion Detection Model(M-IDM),which typically relies on data collected by real devices and the use of convolutional neural networks(i.e.,it exhibits better performance compared with conventional machine learning algorithms,such as naïve Bayes,support vector machine(SVM)).Unlike existing studies,the proposed architecture employs the actual healthcare IoT environment of National Cancer Center in South Korea and actual network data from real medical devices,such as a patient’s monitors(i.e.,electrocardiogram and thermometers).The proposed architecture classies the data into multiple classes:Critical,informal,major,and minor,for intrusion detection.Further,we experimentally evaluated and compared its performance with those of other conventional machine learning algorithms,including naïve Bayes,SVM,and logistic regression,using neural networks.
基金supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist)the Soonchunhyang University Research Fun。
文摘Here,we use multi-type feature fusion and selection to predict COVID-19 infections on chest computed tomography(CT)scans.The scheme operates in four steps.Initially,we prepared a database containing COVID-19 pneumonia and normal CT scans.These images were retrieved from the Radiopaedia COVID-19 website.The images were divided into training and test sets in a ratio of 70:30.Then,multiple features were extracted from the training data.We used canonical correlation analysis to fuse the features into single vectors;this enhanced the predictive capacity.We next implemented a genetic algorithm(GA)in which an Extreme Learning Machine(ELM)served to assess GA tness.Based on the ELM losses,the most discriminatory features were selected and saved as an ELM Model.Test images were sent to the model,and the best-selected features compared to those of the trained model to allow nal predictions.Validation employed the collected chest CT scans.The best predictive accuracy of the ELM classier was 93.9%;the scheme was effective.
基金supported by the National Natural Science Foundation of China(Grant No.82472312).
文摘Mosquito-borne diseases pose a significant global health threat,necessitating the development of innovative vector control strategies.In this study,we investigated the potential of harnessing host immunity against mosquitoes through vaccination.Using Culex pipiens(C.pipiens)as a model,we demonstrated that polyclonal antibodies against C.pipiens abdominal protein extracts significantly impaired oviposition and increased mosquito mortality,primarily through the classical complement activation pathways.However,repeated exposure led to resistance,indicating potential adaptation.Proteomic analysis identified metabolic proteins as key targets,with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses highlighting their roles in carboxylic acid metabolism,tyrosine degradation,and the proteasome pathways.Notably,cross-species reactivity was revealed by Western blotting,showing strong binding of Culex-specific antibodies to Anopheles and Aedes abdominal proteins.This study provides mechanistic insights into antibody-based mosquito suppression,highlighting its potential as an innovative vector control strategy while underscoring the need for further research on resistance management and ecological impacts.
基金supported by a special grant from the Taishan Scholars Project(Project No.tsqn202211130).
文摘Background:The recently developed Depression,Anxiety,and Stress Scales–Youth Version(DASS-Y)shows promise as a tool for assessing youth mental health,but its consistency across timepoints and diverse ages remains underexplored.The present study evaluated whether the DASS-Y reliably measured depression,anxiety,and stress among school-aged youth(aged 9–18 years)across distinct time periods and educational stages.Methods:Two studies were conducted.Study 1 examined consistency over three months using data from 736 Central Chinese high school students who completed surveys at both timepoints.Study 2 tested consistency across educational levels among 2321 primary and 1676 middle school students.Traditional confirmatory factor analysis(CFA),exploratory structural equation modeling(ESEM),and Rasch analysis were employed to assess the scale’s construct validity and measurement invariance.Results:Rasch analysis indicated acceptable DASS-Y item fit(infit/outfit statistics=0.50–1.50)and moderate test-retest reliability(ICCs=0.64–0.69).The ESEM approach demonstrated superior model fit compared to CFA,achieving a good RMSEA(0.056–0.062)and lower latent factor correlations(r=0.40–0.60),supporting longitudinal scalar invariance.Across educational levels,measurement invariance was supported,with only a small number of items exhibiting differential item functioning(DIF).Conclusion:The present study demonstrates that the DASS-Y is a reliable tool for assessing emotional health among non-clinical school-aged youth,offering educators a validated measure to monitor psychological well-being across developmental stages and time,thereby informing strategies to support youth mental health in community and educational settings.Future research among clinical populations is needed to extend its utility for diagnostic purposes.
文摘After the“Ballad Movement”in the early 20th century revealed and systematized the Liang Zhu legend,numerous literary works had created a rich body of classic reinterpretations.This paper argues that Yang Yinshen’s A Storm stands as the earliest modern literary creation that actively embraced the folk Liang Zhu legend.By situating the ancient story of Zhu Yingtai in a contemporary context,the play replaces the traditional core values of“loyalty and righteousness”with modern themes of pursuing free love,amplifying women’s autonomy.Through a modern tragic love story,it achieves a classic reinterpretation of the classical folk legend.The“revised narrative”in A Storm primarily involves derivative adaptations,incorporating contemporary revisions to characters and themes.Its three-act structure also forms the foundational framework for subsequent reinterpretations of the Liang Zhu legend.The play demonstrates a conscious absorption of the rebellious spirit in folk literature,incorporates dialectal speech,and provides valuable insights into how modern literature can utilize oral traditions.
文摘NCPA Drama Pride and Prejudice Date:March 31-April 5,2026 Venue:National Centre for the Performing Arts The timeless masterpiece Pride and Prejudice by the great British literary figure Jane Austen has become a classic in world literature with its witty writing,profound insights into human nature,and eternal theme of love.The National Centre for the Performing Arts will proudly stage a drama of the same name,reinterpreting this Western literary classic from a contemporary perspective while staying true to the spirit of the original work,giving it new dramatic vitality.
基金supported by the Tianjin Municipal Education Commission Scientific Research Plan Project(Grant No.2022ZD042).
文摘Background:The historical trajectory of TCM appropriate technologies spans from their primordial origins in daily life practices,through the systematization of classical theoretical frameworks,to modern scientific validation and health management applications.Methods:Employing literature review and historical analysis methodologies,this study systematically traces and synthesizes the entire developmental pathway of TCM appropriate technologies.Results:The analysis reveals the intrinsic developmental patterns of these technologies and underscores their practical significance in“preventive treatment”and chronic condition management.A key exemplar of modern innovation is presented:the Hand Twelve Jing-Well Points Exercise.This non-invasive technique adapts the classical Jing-Well Points(jǐng xué)theory,extending its traditional functions in emergency care and brain health from a focus on“treating established diseases”to the paradigm of“preventive treatment.”Conclusion:This research provides a comprehensive case study for the systematic investigation of TCM appropriate technologies.It elucidates a model of inheritance and innovation within modern healthcare systems and offers a theoretical foundation for the promotion and cultural dissemination of these practices.
基金funded by National Social Science Fund of China,grant number 23XZX006.
文摘For more than four hundred years,the modern medical system has primarily inherited the Western cultural tradition and taken shape gradually on the basis of innovating classical Western medicine.In the tradition of ancient Greek medicine,the Hippocratic school and its successor,the Galenic school,based their medical understanding on the humoral theory and theory of temperaments,holding that there exists an intimate connection between human bodily functions and the mind.
基金the National Institute for Health and Care Research(NHR)Manchester Biomedical Research Centre(BRC)(NIHR203308,NIHR-BRC-1215-20007)Astra-Zeneca(ESR-14-10711)+2 种基金CRUK RadNet(C19941/A27801)TMI and CFF are the recipient of an NIHR Senior Investigator Award(NIHR205054 and NIHR205061)CTH is supported by the NIHR University College London Hospitals NHS Foundation Trust BRC,the City of London CRUK RadNet and the CRUK Lung Cancer Centre of Excellence.
文摘Objectives:The PACIFIC trial established the benefit of durvalumab following chemo-radiotherapy for stage III non-small cell lung cancer(NSCLC).However,the concurrent use of radiotherapy(RT)and durvalumab(PACIFIC-2 trial)showed no additional advantage.The PD-RAD study was set up to understand the immunological effects of RT on the tumor microenvironment(TME)to aid in optimizing sequencing of combination therapies.Methods:The PD-RAD trial(ClinicalTrials.gov identifier:NCT03258788)aimed to enroll thirty NSCLC patients receiving radical-intent RT.Tumor biopsies and blood samples were collected pre-RT and at week 2 during RT and analyzed using multiplex immunohistochemistry(mIHC)and high-dimensional mass cytometry(CyTOF),respectively.Results:Paired biopsies were collected from only three patients(Pts 1,3&4)and blood from four patients(Pts 1-4)before the study was closed early during the COVID-19 pandemic.Programmed Death-Ligand 1(PD-L1)expression in the TME was raised in Patient 1,who responded well to treatment,and unaltered in two patients with progressive disease.CyTOF analysis revealed elevated circulating classical monocytes,highest in the patient with a good response.Conclusions:This study underscores the challenges of integrating advanced immune monitoring during RT delivery and did not meet its primary endpoint.The hypothesis-generating findings highlight PD-L1+macrophages in the TME and classical monocytes in the blood as potential immune biomarkers of RT response,but larger studies are needed to validate these observations and characterize the immune changes following curative-intent RT in patients with NSCLC.
基金supported by the Scientific Research Program Funded by Shaanxi Provincial Education Department (Grant No.24JP126)the National Natural Science Foundation of China (Grant No.62174136)the Natural Science Basic Research Program of Shaanxi Province (Grant No.2025JC-YBMS-063)。
文摘High-pressure hydrides have emerged as promising superconducting materials,attracting considerable attention in recent years.In this work,by combining the stochastic self-consistent harmonic approximation with first-principles calculations,we elucidate crucial corrections to the vibrational and superconducting properties arising from quantum and anharmonic ionic vibrations of SnH4 in P63/mmc phase at 150–240 GPa.Compared with the classical harmonic approximation,inclusion of these effects results in a pronounced softening(over 500 cm^(−1))of hydrogen-derived optical phonon modes,and increases the superconducting critical temperature(Tc)from 65 K to 79 K(μ^(*)=0.1;isotropic Migdal–Eliashberg theory),corresponding to a 22%enhancement.For μ^(*)=0.13,the predicted Tc is approximately 70 K.Analysis of the Eliashberg spectral function confirms that hydrogen vibrational modes constitute the dominant tuning mechanism.These results provide quantitative insights into quantum ionic effects in hydride superconductors.
基金funded by the Macao Science and Technology Development Fund(FDCT Nos.001/2023/ALC,0123/2022/A,0006/2020/AKP,and 005/2023/SKL)the Natural Science Foundation of Guangdong Province,China(No.2020A1515010922)+1 种基金the Shenzhen-Hong Kong-Macao S&T Program(Category C,No.SGDX2020110309420200)the Research Fund of University of Macao(Nos.MYRG-GRG2023-00198-ICMS,CPG2024-00038-ICMS and SRG2022-00052-ICMS)。
文摘Pinelliae Rhizoma(PR),known as Banxia in Chinese,Hange in Japanese,and Banha in Korean,is a renowned herbal medicine in East Asia derived from the dry tuber of Pinellia ternata(Thunb.)Breit.(PT).It is extensively utilized in dispensing granules,classical prescriptions,and herbal formulas to treat various conditions,including cough,infection,phlegm,nausea,asthma,and inflammation.Despite numerous studies on PR and its classical prescriptions over recent decades,a comprehensive synthesis of available evidence regarding its multifunctional roles and therapeutic potential is lacking.This review aims to address this gap by examining emerging evidence from metabonomics,preclinical studies,and clinical trials,while exploring potential trends and prospects for future research.A systematic literature search was conducted across six electronic databases,including Pub Med,Web of Science,Scopus,Science Direct,Wanfang,and China National Knowledge Infrastructure,to identify relevant articles on PR published until March 2023.PR contains 107 compounds with diverse pharmacological activities,including anti-inflammatory,immune regulatory,anti-viral,anti-cancer,anti-asthma,antitussive and expectorant,antioxidant,anti-obesity,anti-atherosclerosis,antimicrobial,emetic and anti-emetic,anti-convulsant and anti-epileptic,sedative and hypnotic,learning and memory enhancement,and anti-depressant effects.Metabonomic studies suggest that raw PR may exhibit cardiotoxicity and pregnancy toxicity while showing no apparent hepatorenal toxicity.However,limited pharmacokinetic investigations on PR constrain its clinical translation.Furthermore,clinical safety data on PR is scarce,with only four clinical trials assessing its positive effects in pediatric epilepsy,nausea and vomiting,soft tissue injury,and chronic sinus tract.This review aims to enhance understanding of PR and provide valuable information and recommendations for further research and development of herbal medicine.
文摘Angiomyolipomas(AMLs)represent the most common benign solid renal tumors.The frequency of their detection in the general population is increasing owing to advances in imaging technology.The objective of this review is to discuss computed tomography(CT)and magnetic resonance imaging findings for both typical and atypical renal AMLs,along with their associated complications.AMLs are typically defined as solid triphasic tumors composed of varying amounts of dysmorphic and tortuous blood vessels,smooth muscle components and adipose tissue.In an adult,a classical renal AML appears as a solid,heterogeneous renal cortical mass with macroscopic fat.However,up to 5%of AMLs contain minimal fat and cannot be reliably diagnosed by imaging.Fat-poor AMLs can appear as hyperattenuating masses on unenhanced CT and as hypointense masses on T2WI;other AMLs may be isodense or exhibit cystic components.Hemorrhage is the most common complication,and AMLs with hemorrhage can mimic other tumors,making their diagnosis challenging.Understanding the variable and heterogeneous nature of this neoplasm to correctly classify renal AMLs and to avoid misdiagnosis of other renal lesions is crucial.
基金supported by the National Natural Science Foundation of China(Nos.52472241,52403108 and 52301285)Department of Science and Technology of Hubei Province(Nos.2025AFA114 and 2024CSA076)+1 种基金Wuhan Science and Technology Bureau(Nos.2023020201010116 and 2024040801020319)Hubei Provincial Department of Education(No.Q20231703)。
文摘Photoelectrochemical(PEC)water splitting using bismuth vanadate(BiVO_(4))as a photoanode shows promise for renewable hydrogen production.Depositing cobalt phosphate(CoPi)on the BiVO_(4)photoanode as an oxygen evolution cocatalyst(OEC)is an effective method to improve the PEC performance.However,the CoPi/BiVO_(4)photoanode still faces challenges in terms of slow interface photogenerated carrier transport.Herein,we utilize the advantage of the classical strong metal-support interaction(SMSI)between Au and BiVO_(4)to prepare a CoPi/Au/BiVO_(4)(SMSI-CoPi/Au/BiVO_(4))photoanode.Due to the formation of SMSI,the accumulated electrons at the interface of CoPi/Au induce the accelerated extraction of photogenerated holes.Meanwhile,the active electron density of CoPi is increased,leading to improved water oxidation kinetic.As a result,the SMSI-CoPi/Au/BiVO_(4)photoanode exhibits a high photocurrent density of 5.01 m A cm^(-2)at 1.23 V versus the reversible hydrogen electrode and an applied bias photon-to-current efficiency of 1.78%.This work highlights a novel approach to enhance hole transfer and water oxidation kinetics of OEC/BiVO_(4)composite photoanodes,offering the great potential of using SMSI for PEC water splitting.
基金National Multidisciplinary Innovation Team of Traditional Chinese Medicine (ZYYCXTD-D-202204)Science and Technology Project of Haihe Laboratory of Modern Chinese Medicine (22HHZYSS00013)。
文摘Objective Randomized controlled trials(RCTs)of Chinese patent medicines and classic tra-ditional Chinese medicine prescriptions were systematically reviewed from both Chinese and English journals published in 2023.A preliminary summary and evaluation were conducted on the generation and translation of clinical evidence for these treatments.This analysis aims to inform future research on clinical efficacy evaluation and guide the rational application of evidence.Methods RCTs of Chinese patent medicines and classic traditional Chinese prescriptions published in 2023 were comprehensively retrieved from the Artificial Intelligence Clinical Evi-dence Database for Chinese Patent Medicine(AICED-CPM),with supplementary searches conducted in China National Knowledge Infrastructure(CNKI),Wanfang Data,Chinese Sci-ence and Technology Journal Database(VIP),Chinese Biomedical Literature Database(SinoMed),Cochrane Library,PubMed,Embase,and Web of Science.The study characteris-tics and methodological quality of these RCTs were systematically analyzed and evaluated.Results A total of 1443 RCTs of Chinese patent medicines were included,comprising 1399 Chinese articles and 44 English articles.Additionally,334 RCTs of classic traditional Chinese medicine prescriptions were found,with 331 published in Chinese and 3 in English.196567 participants were included,covering 585 types of Chinese patent medicines(487 oral,61 in-jectable,and 37 topical)and 179 classic traditional Chinese medicine prescriptions.The in-volved studies encompassed 22 types of diseases,with research primarily focusing on dis-eases of the circulatory system,the respiratory system,and the genitourinary system.The sample sizes ranged from 18 to 3777 participants,and most studies were conducted at a sin-gle center.Methodologically,the implementation of allocation concealment and blinding re-mained insufficiently emphasized.Conclusion Overall,compared with 2022,both the number of RCT publications and their methodological quality have improved in 2023,with heightened attention to research on diseases of the genitourinary system.However,quality control and standardized management in the design and implementation processes still require enhancement to produce more high-quality clinical evidence and accelerate the translation and application of this evidence.
基金supported by the National Social Science Fund of China(Grand No.21XTJ001).
文摘A Receiver Operating Characteristic(ROC)analysis of a power is important and useful in clinical trials.A Classical Conditional Power(CCP)is a probability of a classical rejection region given values of true treatment effect and interim result.For hypotheses and reversed hypotheses under normal models,we obtain analytical expressions of the ROC curves of the CCP,find optimal ROC curves of the CCP,investigate the superiority of the ROC curves of the CCP,calculate critical values of the False Positive Rate(FPR),True Positive Rate(TPR),and cutoff of the optimal CCP,and give go/no go decisions at the interim of the optimal CCP.In addition,extensive numerical experiments are carried out to exemplify our theoretical results.Finally,a real data example is performed to illustrate the go/no go decisions of the optimal CCP.
文摘Exploring Greco-Roman and Chinese classics reveals timeless insights for navigating modern crises.THE enduring wisdom of ancient Greece and China–often found in their classics–holds profound potential to address today’s pressing global challenges.This vital connection was powerfully underscored at the Second Global Forum on Mutual Learning among Civilizations.
