Chaihu plus Longgu Muli Decoction is the representative treatment method of harmonizing and releasing combined with easing for lesser yang disease proposed by famous physician Zhang Zhongjing.Through clinical cases,th...Chaihu plus Longgu Muli Decoction is the representative treatment method of harmonizing and releasing combined with easing for lesser yang disease proposed by famous physician Zhang Zhongjing.Through clinical cases,this paper firstly introduced the main framework of Chaihu plus Longgu Muli Decoction,to make the treatment method of harmonizing and releasing become more flexible in clinical application.Besides,it introduced the common changes in the learning and application of the decoction,to respond to various changes in the clinical diseases.展开更多
Analysts say an independent oil refiners’alliance in Shandong will help the teapot refiners enhance bargaining power and reduce vicious competition amidan excess capacity in the sector.Several teapots in Shandong hav...Analysts say an independent oil refiners’alliance in Shandong will help the teapot refiners enhance bargaining power and reduce vicious competition amidan excess capacity in the sector.Several teapots in Shandong have set up a refining conglomerate recently with a planned registered capital reaching 90 billion yuan($13.67 billion).This will combine the country’s largest independent oil refineries,known as teapots。展开更多
China’s consumer price index (CPI), the main gauge of inflation, rose 4 percent in October from a year earlier, the National Bureau of Statistics said on Tuesday. The figure, compared with 4.6 percent in September, 4...China’s consumer price index (CPI), the main gauge of inflation, rose 4 percent in October from a year earlier, the National Bureau of Statistics said on Tuesday. The figure, compared with 4.6 percent in September, 4.9 percent in August,展开更多
China’s consumer inflation eased further in April on falling food prices as the country fast-tracked restoration of economic activities,while factory-gate prices continued to be bogged down by epidemic-dented demand,...China’s consumer inflation eased further in April on falling food prices as the country fast-tracked restoration of economic activities,while factory-gate prices continued to be bogged down by epidemic-dented demand,official data showed on May 12.展开更多
The Philippine economy slowed in 2025 as domestic shocks,weaker investment,and soft global demand weighed on growth.However,a modest recovery is expected in 2026-2027,supported by resilient consumption and easing infl...The Philippine economy slowed in 2025 as domestic shocks,weaker investment,and soft global demand weighed on growth.However,a modest recovery is expected in 2026-2027,supported by resilient consumption and easing inflation,according to the World Bank's latest Phil-ippines Economic Update(PEU).展开更多
This study utilizes two complementary models,the Time-Varying Parameter Vector Autoregressive Diebold–Yilmaz(TVP-VAR-DY)and the Time-Varying Parameter Vector Autoregressive Barunik–Křehlik(TVP-VAR-BK),to investigate...This study utilizes two complementary models,the Time-Varying Parameter Vector Autoregressive Diebold–Yilmaz(TVP-VAR-DY)and the Time-Varying Parameter Vector Autoregressive Barunik–Křehlik(TVP-VAR-BK),to investigate the dynamic volatility transmission between exchange rates and stock returns in major commodity-exporting and-importing countries.The analysis focuses on periods of quantitative easing(QE)and quantitative tightening(QT)from March 15,2020 to December 30,2022.The countries examined are Canada and Australia(major commodity exporters)and the UK and Germany(major commodity importers).An essential contribution of this paper is new empirical insights into the dynamics of stock market returns and the transmission of volatility between these markets and exchange rates during the QE and QT periods.The results reveal that causality primarily flows from stock markets to exchange rates,especially during the QT period across all investment horizons.The Toronto Stock Exchange(TSX)emerges as the principal net driver among the markets under study.Furthermore,the Canadian exchange rate(USDCAD)and the Australian Stock Exchange(ASX)are the most significantly affected indices within the network across various investment horizons(excluding the long-term).These findings underscore the importance for investors and policymakers to consider the interplay between exchange rates and stock market returns,particularly in the context of the QE and QT periods,as well as other economic,political,and health-related events.Our findings are relevant to various stakeholders,including governments,traders,portfolio managers,and multinationals.展开更多
In recent years,feature selection(FS)optimization of high-dimensional gene expression data has become one of the most promising approaches for cancer prediction and classification.This work reviews FS and classificati...In recent years,feature selection(FS)optimization of high-dimensional gene expression data has become one of the most promising approaches for cancer prediction and classification.This work reviews FS and classification methods that utilize evolutionary algorithms(EAs)for gene expression profiles in cancer or medical applications based on research motivations,challenges,and recommendations.Relevant studies were retrieved from four major academic databases-IEEE,Scopus,Springer,and ScienceDirect-using the keywords‘cancer classification’,‘optimization’,‘FS’,and‘gene expression profile’.A total of 67 papers were finally selected with key advancements identified as follows:(1)The majority of papers(44.8%)focused on developing algorithms and models for FS and classification.(2)The second category encompassed studies on biomarker identification by EAs,including 20 papers(30%).(3)The third category comprised works that applied FS to cancer data for decision support system purposes,addressing high-dimensional data and the formulation of chromosome length.These studies accounted for 12%of the total number of studies.(4)The remaining three papers(4.5%)were reviews and surveys focusing on models and developments in prediction and classification optimization for cancer classification under current technical conditions.This review highlights the importance of optimizing FS in EAs to manage high-dimensional data effectively.Despite recent advancements,significant limitations remain:the dynamic formulation of chromosome length remains an underexplored area.Thus,further research is needed on dynamic-length chromosome techniques for more sophisticated biomarker gene selection techniques.The findings suggest that further advancements in dynamic chromosome length formulations and adaptive algorithms could enhance cancer classification accuracy and efficiency.展开更多
We often hear statements like“the market raises expectations for central bank interest rate cuts,resulting in higher commodity prices”.Given the current situation,the People’s Bank of China might adopt a more accom...We often hear statements like“the market raises expectations for central bank interest rate cuts,resulting in higher commodity prices”.Given the current situation,the People’s Bank of China might adopt a more accommodative monetary policy to mitigate the impact of the China-U.S.trade friction.Will this further easing of the monetary environment lead to an increase in natural gas prices?展开更多
The shape of body and the ease of garment are the important elements in constructing garment style. However, the distribution of ease in garment is uneven and the curves showing different cross-sections of garment sty...The shape of body and the ease of garment are the important elements in constructing garment style. However, the distribution of ease in garment is uneven and the curves showing different cross-sections of garment style with ease are unavailable in the literature. This information is crucial when the three-dimensional garment style is transformed into two-dimensional garment patterns. Thus, several different X-line style garments are produced by 3D draping technology, and the cubic spline is used to fit the cross sectional curves of BL, WL of body and garment. By comparing cross sections of body and garment, the ease at different location can be derived. Besides, garments in 10 different dimensions and quantities of style ease are included in the current study. By numerical operation on discrete ease data at different location, the fitted functions of ease distribution are obtained.展开更多
文摘Chaihu plus Longgu Muli Decoction is the representative treatment method of harmonizing and releasing combined with easing for lesser yang disease proposed by famous physician Zhang Zhongjing.Through clinical cases,this paper firstly introduced the main framework of Chaihu plus Longgu Muli Decoction,to make the treatment method of harmonizing and releasing become more flexible in clinical application.Besides,it introduced the common changes in the learning and application of the decoction,to respond to various changes in the clinical diseases.
文摘Analysts say an independent oil refiners’alliance in Shandong will help the teapot refiners enhance bargaining power and reduce vicious competition amidan excess capacity in the sector.Several teapots in Shandong have set up a refining conglomerate recently with a planned registered capital reaching 90 billion yuan($13.67 billion).This will combine the country’s largest independent oil refineries,known as teapots。
文摘China’s consumer price index (CPI), the main gauge of inflation, rose 4 percent in October from a year earlier, the National Bureau of Statistics said on Tuesday. The figure, compared with 4.6 percent in September, 4.9 percent in August,
文摘China’s consumer inflation eased further in April on falling food prices as the country fast-tracked restoration of economic activities,while factory-gate prices continued to be bogged down by epidemic-dented demand,official data showed on May 12.
文摘The Philippine economy slowed in 2025 as domestic shocks,weaker investment,and soft global demand weighed on growth.However,a modest recovery is expected in 2026-2027,supported by resilient consumption and easing inflation,according to the World Bank's latest Phil-ippines Economic Update(PEU).
文摘This study utilizes two complementary models,the Time-Varying Parameter Vector Autoregressive Diebold–Yilmaz(TVP-VAR-DY)and the Time-Varying Parameter Vector Autoregressive Barunik–Křehlik(TVP-VAR-BK),to investigate the dynamic volatility transmission between exchange rates and stock returns in major commodity-exporting and-importing countries.The analysis focuses on periods of quantitative easing(QE)and quantitative tightening(QT)from March 15,2020 to December 30,2022.The countries examined are Canada and Australia(major commodity exporters)and the UK and Germany(major commodity importers).An essential contribution of this paper is new empirical insights into the dynamics of stock market returns and the transmission of volatility between these markets and exchange rates during the QE and QT periods.The results reveal that causality primarily flows from stock markets to exchange rates,especially during the QT period across all investment horizons.The Toronto Stock Exchange(TSX)emerges as the principal net driver among the markets under study.Furthermore,the Canadian exchange rate(USDCAD)and the Australian Stock Exchange(ASX)are the most significantly affected indices within the network across various investment horizons(excluding the long-term).These findings underscore the importance for investors and policymakers to consider the interplay between exchange rates and stock market returns,particularly in the context of the QE and QT periods,as well as other economic,political,and health-related events.Our findings are relevant to various stakeholders,including governments,traders,portfolio managers,and multinationals.
基金funded by the Ministry of Higher Education of Malaysia,grant number FRGS/1/2022/ICT02/UPSI/02/1.
文摘In recent years,feature selection(FS)optimization of high-dimensional gene expression data has become one of the most promising approaches for cancer prediction and classification.This work reviews FS and classification methods that utilize evolutionary algorithms(EAs)for gene expression profiles in cancer or medical applications based on research motivations,challenges,and recommendations.Relevant studies were retrieved from four major academic databases-IEEE,Scopus,Springer,and ScienceDirect-using the keywords‘cancer classification’,‘optimization’,‘FS’,and‘gene expression profile’.A total of 67 papers were finally selected with key advancements identified as follows:(1)The majority of papers(44.8%)focused on developing algorithms and models for FS and classification.(2)The second category encompassed studies on biomarker identification by EAs,including 20 papers(30%).(3)The third category comprised works that applied FS to cancer data for decision support system purposes,addressing high-dimensional data and the formulation of chromosome length.These studies accounted for 12%of the total number of studies.(4)The remaining three papers(4.5%)were reviews and surveys focusing on models and developments in prediction and classification optimization for cancer classification under current technical conditions.This review highlights the importance of optimizing FS in EAs to manage high-dimensional data effectively.Despite recent advancements,significant limitations remain:the dynamic formulation of chromosome length remains an underexplored area.Thus,further research is needed on dynamic-length chromosome techniques for more sophisticated biomarker gene selection techniques.The findings suggest that further advancements in dynamic chromosome length formulations and adaptive algorithms could enhance cancer classification accuracy and efficiency.
文摘We often hear statements like“the market raises expectations for central bank interest rate cuts,resulting in higher commodity prices”.Given the current situation,the People’s Bank of China might adopt a more accommodative monetary policy to mitigate the impact of the China-U.S.trade friction.Will this further easing of the monetary environment lead to an increase in natural gas prices?
文摘The shape of body and the ease of garment are the important elements in constructing garment style. However, the distribution of ease in garment is uneven and the curves showing different cross-sections of garment style with ease are unavailable in the literature. This information is crucial when the three-dimensional garment style is transformed into two-dimensional garment patterns. Thus, several different X-line style garments are produced by 3D draping technology, and the cubic spline is used to fit the cross sectional curves of BL, WL of body and garment. By comparing cross sections of body and garment, the ease at different location can be derived. Besides, garments in 10 different dimensions and quantities of style ease are included in the current study. By numerical operation on discrete ease data at different location, the fitted functions of ease distribution are obtained.
