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
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
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
1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our ...1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our lives and purify our souls.I enjoy reading and I love life.I enjoy reading Chinese classics such as the Four Great Classical Novels of Chinese literature.I explore the mythical and wonderful stories of demons and monsters in Journey to the West and experience the boldness of martial art heroes in Water Margin.展开更多
Foshan Liang Garden,as a unique cultural heritage in the Lingnan region,possesses high artistic,scientific,and cultural value.Through field surveys and literature research,this paper sorts out the current problems in ...Foshan Liang Garden,as a unique cultural heritage in the Lingnan region,possesses high artistic,scientific,and cultural value.Through field surveys and literature research,this paper sorts out the current problems in the protection and utilization of Foshan Liang Garden,establishes the basic principles of emphasizing both protection and revitalization and implementing them simultaneously,and summarizes methods for protection and utilization,including expanding funding channels,strengthening dynamic monitoring and scientific protection,exploring cultural connotations,and encouraging multi-stakeholder participation in joint construction.Furthermore,it proposes revitalization strategies such as empowering garden services with digital technology,integrating cultural resources to innovate cultural and creative products,promoting the museumization of idle functional spaces,and using cultural and educational activities for inheritance and dissemination.It is hoped that these measures will help Foshan Liang Garden better integrate into modern life,meet people’s diverse needs,and provide new ideas and methods for the protection and utilization of garden cultural heritage.展开更多
Explorations into new electrolytes have highlighted the critical impact of solvation structure on battery performance,Classical molecular dynamics(CMD)using semi-empirical force fields has become an essential tool for...Explorations into new electrolytes have highlighted the critical impact of solvation structure on battery performance,Classical molecular dynamics(CMD)using semi-empirical force fields has become an essential tool for simulating solvation structures.However,mainstream force fields often lack accuracy in describing strong ion-solvent interactions,causing disparities between CMD simulations and experimental observations.Although some empirical methods have been employed in some of the studies to address this issue,their effectiveness has been limited.Our CMD research,supported by quantum chemical calculations and experimental data,reveals that the solvation structure is influenced not only by the charge model but also by the polarization description.Previous empirical approaches that focused solely on adjusting ion-solvent interaction strengths overlooked the importance of polarization effects.Building on this insight,we propose integrating the Drude polarization model into mainstream force fields and verify its feasibility in carbonate,ether,and nitrile electrolytes.Our experimental results demonstrate that this approach significantly enhances the accuracy of CMD-simulated solvation structures.This work is expected to provide a more reliable CMD method for electrolyte design,shielding researchers from the pitfalls of erroneous simulation outcomes.展开更多
This paper concerns the Cauchy problem of 3D compressible micropolar fluids in the whole space R^(3). For regular initial data with m0E0 is suitable small, where m0 and E0 represent the upper bound of initial density ...This paper concerns the Cauchy problem of 3D compressible micropolar fluids in the whole space R^(3). For regular initial data with m0E0 is suitable small, where m0 and E0 represent the upper bound of initial density and initial energy, we prove that if ρ0 ∈ Lγ ∩ H3 with γ ∈ (1, 6), then the problem possesses a unique global classical solution on R^(3) × [0, T] with any T ∈ (0, ∞). It’s worth noting that both the vacuum states and possible random largeness of initial energy are allowed.展开更多
Compilation ofSagya Classics Editor-in-chief of this book is Sagya Palden Donyu,a researcher at the High-level Tibetan Buddhism College of China and the Director of the Sagya Culture Research Office.This volume system...Compilation ofSagya Classics Editor-in-chief of this book is Sagya Palden Donyu,a researcher at the High-level Tibetan Buddhism College of China and the Director of the Sagya Culture Research Office.This volume systematically compiles the academic achievements of the Sagya Dharma Kings.The contents in elude a wide range of topics,including religious philosophy.展开更多
This article examines the development of geomorpho-logical and hydrological research on karst landscapes in Central and Southeast Europe in the period before 1914.It provides novel insights into the introduction of th...This article examines the development of geomorpho-logical and hydrological research on karst landscapes in Central and Southeast Europe in the period before 1914.It provides novel insights into the introduction of the term“karst,”originally the name of a cavernous limestone plateau east of the Adriatic city of Trieste,as a universal model for comparing and understanding dissolutional features in soluble rocks.Based on a critical reappraisal of the sem-inal work“The Karst Phenomenon”(1893)by the Serbian geoscientist Jovan Cvijić(1865-1928),submitted as a Ph.D.thesis at the University of Vienna,my essay argues for a reassessment of the beginnings of karst sciences.It gives more attention to research as a cooperative enterprise and to the interplay between the internationalization of geosci-entific knowledge and the emerging national claims to the Balkan Peninsula and its inhabitants.Approaching the topic from a history of science perspective,I will analyze the epistemic,political,and social dimensions of early karst research at three different stages,namely,its emergence as an imperial undertaking in the Habsburg Monarchy,its synthesis and systematization through Cvijić’s“Karst Phenomenon,”and the final establishment of the Dinarides’northwestern part as the“Classical”Karst.展开更多
Grass constitutes a vital poetic imagery in classical Chinese poetry,embodying multifaceted symbolic connotations ranging from the tenacity of life to sentiments of separation and nostalgic longing.The translation of ...Grass constitutes a vital poetic imagery in classical Chinese poetry,embodying multifaceted symbolic connotations ranging from the tenacity of life to sentiments of separation and nostalgic longing.The translation of this botanical motif necessitates not merely lexical equivalence,but more importantly,the transmission of its profound cultural resonance and aesthetic essence.This study posits that effective rendition of grass imagery should adopt an integrative approach synthesizing the objectives of cultural translation with the intrinsic aesthetic characteristics of classical poetry.Through systematic analysis of the cultural semiotics embedded in grass symbolism,the research investigates practical translation techniques at lexical,syntactic,and stylistic dimensions.The findings aim to contribute to the theoretical framework of cultural image translation in Chinese poetic tradition while providing methodological references for cross-cultural interpretation of classical verse.By bridging cultural semiotics with translation praxis,this investigation seeks to advance the intercultural communication of Chinese poetic heritage through nuanced treatment of its botanical symbolism.展开更多
This concise paper,delivered at a conference,addresses a broad topic with the goal of providing a condensed and inevitably subjective perspective.Initially,it outlines the primary characteristics that distinguish coin...This concise paper,delivered at a conference,addresses a broad topic with the goal of providing a condensed and inevitably subjective perspective.Initially,it outlines the primary characteristics that distinguish coins from other historical sources.Subsequently,it provides a succinct overview of numismatics,categorized into seven phases:1.Pre-1550(coins as reflections of vice and virtue);2.From circa 1550 to circa 1620(coins as testimony of authentic history);3.From circa 1650 to circa 1730(the heyday of the“Republic of Medals”);4.From circa 1730 to circa 1840(the decline of the“Republic of Medals”and the emergence of scientific practices by Viennese Jesuits);5.From circa 1840 to circa 1940(die-studies and art history);6.From circa 1940 to circa 2000(coins as instruments of exchange);7.Since 2000(cultural shift and digital humanities).展开更多
More than a simple concert pianist,Wilson Chu is an Indonesian musical diplomacy force.As a distinguished performer,composer,and educator,Wilson has left an indelible mark on the international stage by seamlessly blen...More than a simple concert pianist,Wilson Chu is an Indonesian musical diplomacy force.As a distinguished performer,composer,and educator,Wilson has left an indelible mark on the international stage by seamlessly blending Western classical music with Southeast Asian tradition.Since 2019,he has been the youngest Associate Professor of Piano at the College of Chinese and ASEAN Arts(CCAA)at Chengdu University,where he has dedicated himself to shaping the next generation of musicians.展开更多
Due to its unique geography,Jinan has the largest underground water vein(地下水脉)in China.Thus,with its 72 famous springs,Jinan has become a popular vacation destination.The springs in Jinan,which are the most outsta...Due to its unique geography,Jinan has the largest underground water vein(地下水脉)in China.Thus,with its 72 famous springs,Jinan has become a popular vacation destination.The springs in Jinan,which are the most outstanding features,were first recorded in Li Daoyuan’s Commentary on the Waterways Classic.The text states that there are 72 famous springs in Jinan.However,in reality,the number of springs far exceeds this number,reaching thousands.These springs are not only abundant in quantity,but also diverse in form,showing the wonderful creativity of nature.What’s even more amazing is that springs usually appear in suburban areas.That’s because spring water usually flows from outside the city into the city,while Jinan is completely opposite.Consequently,springs are everywhere in Jinan,including the busiest city center!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
Die Walküre is the most frequently staged and most popular title of the Ring cycle among classical music enthusiasts.It tells a complex story that involves intertwined relationships between father and daughter,hu...Die Walküre is the most frequently staged and most popular title of the Ring cycle among classical music enthusiasts.It tells a complex story that involves intertwined relationships between father and daughter,husband and wife,brother and sister,and lovers in the epic context of the Nordic mythology.展开更多
As one of the famous effects in the quantum Rabi model(QRM),Rabi oscillation may lead to the occurrence of quantum dynamical behaviors without classical dynamic counterparts,such as quantum collapse and revival effect...As one of the famous effects in the quantum Rabi model(QRM),Rabi oscillation may lead to the occurrence of quantum dynamical behaviors without classical dynamic counterparts,such as quantum collapse and revival effects.In this paper,we focus on studying the long-time quantum signatures of chaos in the large atom-light frequency ratios of the Rabi model.It is shown that the saturated values of the entanglement entropy for initial states located in chaotic sea are higher than that in the regular regions,and the Husimi Q function are more dispersed in phase space.Moreover,we observed that the long-time average entanglement entropy and spin variance correspond well with the semiclassical phase space.Our results imply that the correspondence principle is not invalidated by quantum collapse and revival effects in the large atom-light frequency ratios Rabi model.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.
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.
文摘1 When we immerse ourselves in the pages of a book,we are transported to worlds beyond our own,gaining insights into the human experience and expanding our understanding of ourselves and others.2 Reading can fill our lives and purify our souls.I enjoy reading and I love life.I enjoy reading Chinese classics such as the Four Great Classical Novels of Chinese literature.I explore the mythical and wonderful stories of demons and monsters in Journey to the West and experience the boldness of martial art heroes in Water Margin.
基金Supported by the 2024 Guangxi Provincial College Students Innovation and Entrepreneurship Training Program(S202411354155)Guangxi Zhuang Autonomous Region Philosophy and Social Science Planning Research Project(23FWY028)Wuzhou University Research Project(2024QN013)。
文摘Foshan Liang Garden,as a unique cultural heritage in the Lingnan region,possesses high artistic,scientific,and cultural value.Through field surveys and literature research,this paper sorts out the current problems in the protection and utilization of Foshan Liang Garden,establishes the basic principles of emphasizing both protection and revitalization and implementing them simultaneously,and summarizes methods for protection and utilization,including expanding funding channels,strengthening dynamic monitoring and scientific protection,exploring cultural connotations,and encouraging multi-stakeholder participation in joint construction.Furthermore,it proposes revitalization strategies such as empowering garden services with digital technology,integrating cultural resources to innovate cultural and creative products,promoting the museumization of idle functional spaces,and using cultural and educational activities for inheritance and dissemination.It is hoped that these measures will help Foshan Liang Garden better integrate into modern life,meet people’s diverse needs,and provide new ideas and methods for the protection and utilization of garden cultural heritage.
基金supported by the Science and Technology Project of State Grid Corporation of China(5419-202199552A-0-5-ZN).
文摘Explorations into new electrolytes have highlighted the critical impact of solvation structure on battery performance,Classical molecular dynamics(CMD)using semi-empirical force fields has become an essential tool for simulating solvation structures.However,mainstream force fields often lack accuracy in describing strong ion-solvent interactions,causing disparities between CMD simulations and experimental observations.Although some empirical methods have been employed in some of the studies to address this issue,their effectiveness has been limited.Our CMD research,supported by quantum chemical calculations and experimental data,reveals that the solvation structure is influenced not only by the charge model but also by the polarization description.Previous empirical approaches that focused solely on adjusting ion-solvent interaction strengths overlooked the importance of polarization effects.Building on this insight,we propose integrating the Drude polarization model into mainstream force fields and verify its feasibility in carbonate,ether,and nitrile electrolytes.Our experimental results demonstrate that this approach significantly enhances the accuracy of CMD-simulated solvation structures.This work is expected to provide a more reliable CMD method for electrolyte design,shielding researchers from the pitfalls of erroneous simulation outcomes.
基金supported by the Natural Science Foundation of Shandong Province of China(ZR2024MA033ZR2021QA049).
文摘This paper concerns the Cauchy problem of 3D compressible micropolar fluids in the whole space R^(3). For regular initial data with m0E0 is suitable small, where m0 and E0 represent the upper bound of initial density and initial energy, we prove that if ρ0 ∈ Lγ ∩ H3 with γ ∈ (1, 6), then the problem possesses a unique global classical solution on R^(3) × [0, T] with any T ∈ (0, ∞). It’s worth noting that both the vacuum states and possible random largeness of initial energy are allowed.
文摘Compilation ofSagya Classics Editor-in-chief of this book is Sagya Palden Donyu,a researcher at the High-level Tibetan Buddhism College of China and the Director of the Sagya Culture Research Office.This volume systematically compiles the academic achievements of the Sagya Dharma Kings.The contents in elude a wide range of topics,including religious philosophy.
文摘This article examines the development of geomorpho-logical and hydrological research on karst landscapes in Central and Southeast Europe in the period before 1914.It provides novel insights into the introduction of the term“karst,”originally the name of a cavernous limestone plateau east of the Adriatic city of Trieste,as a universal model for comparing and understanding dissolutional features in soluble rocks.Based on a critical reappraisal of the sem-inal work“The Karst Phenomenon”(1893)by the Serbian geoscientist Jovan Cvijić(1865-1928),submitted as a Ph.D.thesis at the University of Vienna,my essay argues for a reassessment of the beginnings of karst sciences.It gives more attention to research as a cooperative enterprise and to the interplay between the internationalization of geosci-entific knowledge and the emerging national claims to the Balkan Peninsula and its inhabitants.Approaching the topic from a history of science perspective,I will analyze the epistemic,political,and social dimensions of early karst research at three different stages,namely,its emergence as an imperial undertaking in the Habsburg Monarchy,its synthesis and systematization through Cvijić’s“Karst Phenomenon,”and the final establishment of the Dinarides’northwestern part as the“Classical”Karst.
文摘Grass constitutes a vital poetic imagery in classical Chinese poetry,embodying multifaceted symbolic connotations ranging from the tenacity of life to sentiments of separation and nostalgic longing.The translation of this botanical motif necessitates not merely lexical equivalence,but more importantly,the transmission of its profound cultural resonance and aesthetic essence.This study posits that effective rendition of grass imagery should adopt an integrative approach synthesizing the objectives of cultural translation with the intrinsic aesthetic characteristics of classical poetry.Through systematic analysis of the cultural semiotics embedded in grass symbolism,the research investigates practical translation techniques at lexical,syntactic,and stylistic dimensions.The findings aim to contribute to the theoretical framework of cultural image translation in Chinese poetic tradition while providing methodological references for cross-cultural interpretation of classical verse.By bridging cultural semiotics with translation praxis,this investigation seeks to advance the intercultural communication of Chinese poetic heritage through nuanced treatment of its botanical symbolism.
文摘This concise paper,delivered at a conference,addresses a broad topic with the goal of providing a condensed and inevitably subjective perspective.Initially,it outlines the primary characteristics that distinguish coins from other historical sources.Subsequently,it provides a succinct overview of numismatics,categorized into seven phases:1.Pre-1550(coins as reflections of vice and virtue);2.From circa 1550 to circa 1620(coins as testimony of authentic history);3.From circa 1650 to circa 1730(the heyday of the“Republic of Medals”);4.From circa 1730 to circa 1840(the decline of the“Republic of Medals”and the emergence of scientific practices by Viennese Jesuits);5.From circa 1840 to circa 1940(die-studies and art history);6.From circa 1940 to circa 2000(coins as instruments of exchange);7.Since 2000(cultural shift and digital humanities).
文摘More than a simple concert pianist,Wilson Chu is an Indonesian musical diplomacy force.As a distinguished performer,composer,and educator,Wilson has left an indelible mark on the international stage by seamlessly blending Western classical music with Southeast Asian tradition.Since 2019,he has been the youngest Associate Professor of Piano at the College of Chinese and ASEAN Arts(CCAA)at Chengdu University,where he has dedicated himself to shaping the next generation of musicians.
文摘Due to its unique geography,Jinan has the largest underground water vein(地下水脉)in China.Thus,with its 72 famous springs,Jinan has become a popular vacation destination.The springs in Jinan,which are the most outstanding features,were first recorded in Li Daoyuan’s Commentary on the Waterways Classic.The text states that there are 72 famous springs in Jinan.However,in reality,the number of springs far exceeds this number,reaching thousands.These springs are not only abundant in quantity,but also diverse in form,showing the wonderful creativity of nature.What’s even more amazing is that springs usually appear in suburban areas.That’s because spring water usually flows from outside the city into the city,while Jinan is completely opposite.Consequently,springs are everywhere in Jinan,including the busiest city center!
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.
文摘Die Walküre is the most frequently staged and most popular title of the Ring cycle among classical music enthusiasts.It tells a complex story that involves intertwined relationships between father and daughter,husband and wife,brother and sister,and lovers in the epic context of the Nordic mythology.
基金supported by the National Natural Science Foundation of China under Grant Nos.12275078,11875026,12035005 and 2020YFC2201400Science Foundation of Hengyang Normal University of China under Contract No.2020QD24sponsored by the innovative research group of Hunan Province under Grant No.2024JJ1006。
文摘As one of the famous effects in the quantum Rabi model(QRM),Rabi oscillation may lead to the occurrence of quantum dynamical behaviors without classical dynamic counterparts,such as quantum collapse and revival effects.In this paper,we focus on studying the long-time quantum signatures of chaos in the large atom-light frequency ratios of the Rabi model.It is shown that the saturated values of the entanglement entropy for initial states located in chaotic sea are higher than that in the regular regions,and the Husimi Q function are more dispersed in phase space.Moreover,we observed that the long-time average entanglement entropy and spin variance correspond well with the semiclassical phase space.Our results imply that the correspondence principle is not invalidated by quantum collapse and revival effects in the large atom-light frequency ratios Rabi model.
