BACKGROUND Despite the widespread application of big data in topic analysis,the public’s attention and nursing requirements for arthroscopy remain inadequate.AIM To understand netizens’concerns and spatial distribut...BACKGROUND Despite the widespread application of big data in topic analysis,the public’s attention and nursing requirements for arthroscopy remain inadequate.AIM To understand netizens’concerns and spatial distributions regarding arthroscopy and to provide customized nursing strategies.METHODS The Baidu index was employed to gather and analyze the search index,demand graph,keyword popularity,and regional distribution data for the keywords“arthroscopy,”“knee arthroscopy,”and“arthroscopy surgery”from 2018 to 2023.RESULTS A total of 254692 items of information were searched for these keywords,with 59.86%from mobile terminals.Netizens’interest in arthroscopy showed a fluctuating pattern,which was consistent with fluctuations in the elasticity coefficient,and was primarily concentrated in the provinces of Guangdong,Jiangsu,and Shandong.CONCLUSION The Baidu index provides new avenues for exploring public demand for arthroscopy.Nursing personnel can utilize these data to develop more precise health education plans and guidance,enhancing the quality and satisfaction of patient care.展开更多
The NOD-like receptor family pyrin domain-containing protein 3(NLRP3)inflammasome is an intracellular protein complex containing a nucleotide-binding oligomerization domain,leucine-rich repeats,and a pyrin domain.It i...The NOD-like receptor family pyrin domain-containing protein 3(NLRP3)inflammasome is an intracellular protein complex containing a nucleotide-binding oligomerization domain,leucine-rich repeats,and a pyrin domain.It is a key regulator of inflammation in viral pneumonia(VP).Small-molecule inhibitors targeting various NLRP3 binding sites are advancing into early clinical trials,but their therapeutic utility is incompletely established.Xuanfei Baidu Formula(XF),clinically used for VP treatment,attenuates NLRP3 activation by hampering caspase-11 to impede polarization of pro-inflammatory macrophages in a model of lipopolysaccharide(LPS)-induced lung injury inmice.Herein,we demonstrate that XF attenuated influenza A virus(IAV)-induced lung inflammation as well as lung injury in immunocompetent(but not in macrophage-depleted)mice.RNA sequencing of sorted lung macrophages from IAV-infected mice revealed that XF inhibited activation of the NLRP3 inflammation and interleukin(IL)-1βproduction.Quantitative nuclear magnetic resonance of XF enabled us to develop XF-Comb1,a fixed-ratio combination of five bioactive compounds that recapitulated the bioactivity of XF in suppressing NLRP3 activation in macrophages in vitro and in vivo.Interestingly,XF-Comb1 inhibited assembly of the NLRP3 inflammasome through multi-site interactions with functional residues of NLRP3,apoptosis-associated speck-like protein containing caspase recruitment domain(ASC),and caspase-1.Taken together,this work advances the development of NLRP3 inhibitors by translating a complex herbal formula into defined bioactive compounds.展开更多
This study uses Baidu News data and introduces a novel proxy for the rate of information flow to examine its relationship with return volatility in Chinese commodity futures and to test two competing hypotheses.We exa...This study uses Baidu News data and introduces a novel proxy for the rate of information flow to examine its relationship with return volatility in Chinese commodity futures and to test two competing hypotheses.We examine the contemporaneous relationships using correlation coefficient analysis,and find apparent differences between the information flow-return volatility relationship and the information flowtrading volume relationship.The empirical evidence contradicts the mixture of distribution hypothesis(MDH)and suggests that the rate of information flow distinctly affects trading volume and volatility.We conducted linear and nonlinear Granger causality tests to explore the sequential information arrival hypothesis(SIAH).The empirical results prove that a lead-lag linear and nonlinear causality exists between the information flow and return volatility of commodity futures,which is consistent with SIAH.In other words,a partial equilibrium exists before reaching the ultimate equilibrium when the new information arrives in the market.Finally,these findings are robust to alternative measurement of return volatility and subperiod analysis.Our findings reject the MDH and support the SIAH in the context of Chinese commodity futures.展开更多
A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and adva...A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and advancing tourism. We systematically analyzed the accessibility of 56 scenic spots in Xi’an City, China, via car and public transport travel modes using the real-time travel function of the Baidu Maps API(Application Programming Interface) along with spatial analysis methods and the modal accessibility gap index of scenic spots. We obtained the following results. First, maximum and minimum travel times using public transport exceeded those using cars. Moreover, the accessibility of scenic spots via cars and public transport presented a circular spatial pattern of increasing travel time from the center to the periphery. Contrasting with travel by public transport, car travel showed a clear time-space compression effect. Second, accessibility of the scenic spots via cars and public transport showed some spatial heterogeneity, with no clear advantages of car accessibility in the central urban area. However, advantages of car accessibility were increasingly evident moving from the center to the periphery. Third, whereas the correlation of the modal accessibility gap index of scenic spots in Xi’an with global space was significantly positive, local spatial interdependence was only evident in some inner city areas and in marginal areas. Moreover, spatial heterogeneity was evident in two regions but was insignificant in other areas, indicating that the spatial interdependence of the modal accessibility gap index in most scenic spots was not apparent in terms of the overall effect of public transport routes, road networks, and the distribution of scenic spots. The improvement of public transport coverage in marginal areas and the optimization of public transport routes in central urban areas are essential tasks for improving travel using public transport in the future.展开更多
Huashi Baidu prescription(HSBDF),recommended in the Guideline for the Diagnosis and Treatment of Novel Coronavirus(2019-nCoV)Pneumonia(On Trials,the Seventh Edition),was clinically used to treat severe corona virus di...Huashi Baidu prescription(HSBDF),recommended in the Guideline for the Diagnosis and Treatment of Novel Coronavirus(2019-nCoV)Pneumonia(On Trials,the Seventh Edition),was clinically used to treat severe corona virus disease 2019(COVID-19)with cough,blood-stained sputum,inhibited defecation,red tongue etc.symptoms.This study was aimed to elucidate and profile the knowledge on its chemical constituents and the potential anti-inflammatory effect in vitro.In the study,the chemical constituents in extract of HSBDF were characterized by UPLC-Q-TOF/MS in both negative and positive modes,and the pro-inflammatory cytokines were measured by enzyme-linked immunosorbent assays(ELISA)to determine the effects of HSBDF in lipopolysaccharide(LPS)-stimulated RAW264.7 cells.The results showed that a total of 217 chemical constituents were tentativedly characterized in HSBDF.Moreover,HSBDF could alleviate the expression levels of IL-6 and TNF-αin the cell models,indicating that the antiviral effects of HSBDF might be associated with regulation of the inflammatory cytokines production in RAW264.7 cells.We hope that the results could be served as the basic data for further study of HSBDF on anti-COVID-19 effect.展开更多
This paper incorporates the Baidu Index into various heterogeneous autoregressive type time series models and shows that the Baidu Index is a superior predictor of realized volatility in the SSE 50 Index.Furthermore,t...This paper incorporates the Baidu Index into various heterogeneous autoregressive type time series models and shows that the Baidu Index is a superior predictor of realized volatility in the SSE 50 Index.Furthermore,the predictability of the Baidu Index is found to rise as the forecasting horizon increases.We also find that continuous components enhance predictive power across all horizons,but that increases are only sustained in the short and medium terms,as the long-term impact on volatility is less persistent.Our findings should be expected to influence investors interested in constructing trading strategies based on realized volatility.展开更多
The paper was to establish a simple and sensitive HPLC method for determination of berbefine hydrochloride content in Qingwen Baidu granule. The HPLC system consisted of Stable Bond - C18 column （4.6 × 150 mm, ...The paper was to establish a simple and sensitive HPLC method for determination of berbefine hydrochloride content in Qingwen Baidu granule. The HPLC system consisted of Stable Bond - C18 column （4.6 × 150 mm, 5um） and with a mobile phase of acetonitrile -0.05mol/L potassium dihydrogen phosphate solution （50：50,v：v） mixture. Berberine hydrochloride was detected at the wavelength of 345 nm, with a flow rate of 1.0 ml/min and a column temperature of 30 ℃. The excipients and solvents in the granule could be well separated from the drug under such a designated chromatogram condition and did not interfere with the assay. A good linear relationship was found between peak area and the concentration of berberine hydrochloride in the range of 16.0 -48.0 I^g/mL. The average recovery of berberine hydrochloride was 99.09%. The established approach was specific, accurate, reliable, prompt, sensitive and applicable, and could be used to control the quality of Qingwen Baidu granule.展开更多
A number of studies have investigated the predictability of Chinese stock returns with economic variables.Given the newly emerged dataset from the Internet,this paper investigates whether the Baidu Index can be employ...A number of studies have investigated the predictability of Chinese stock returns with economic variables.Given the newly emerged dataset from the Internet,this paper investigates whether the Baidu Index can be employed to predict Chinese stock returns.The empirical results show that 1)the Search Frequency of Baidu Index(SFBI)can predict next day’s price changes;2)the stock prices go up when individual investors pay less attention to the stocks and go down when individual investors pay more attention to the stocks;3)the trading strategy constructed by shorting on the most SFBI and longing on the least SFBI outperforms the corresponding market index returns without consideration of the transaction costs.These results complement the existing literature on the predictability of Chinese stock returns and have potential implications for asset pricing and risk management.展开更多
文摘BACKGROUND Despite the widespread application of big data in topic analysis,the public’s attention and nursing requirements for arthroscopy remain inadequate.AIM To understand netizens’concerns and spatial distributions regarding arthroscopy and to provide customized nursing strategies.METHODS The Baidu index was employed to gather and analyze the search index,demand graph,keyword popularity,and regional distribution data for the keywords“arthroscopy,”“knee arthroscopy,”and“arthroscopy surgery”from 2018 to 2023.RESULTS A total of 254692 items of information were searched for these keywords,with 59.86%from mobile terminals.Netizens’interest in arthroscopy showed a fluctuating pattern,which was consistent with fluctuations in the elasticity coefficient,and was primarily concentrated in the provinces of Guangdong,Jiangsu,and Shandong.CONCLUSION The Baidu index provides new avenues for exploring public demand for arthroscopy.Nursing personnel can utilize these data to develop more precise health education plans and guidance,enhancing the quality and satisfaction of patient care.
基金supported by the National Natural Science Foundation of China(82141201,82405164,82204878,and 32170872)the Haihe Laboratory of Modern Chinese Medicine(Research and development of a universal treatment formula for respiratory viral infections)+3 种基金the National Key Research and Development Program of China(2021YFC1712905,2021YFC1712904,2020YFA0708004,2021YFE0200300,and 2023YFC2306202)the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(ZYYCXTD-D-202002,ZYYCXTD-D-202001)the China Postdoctoral Science Foundation(2023M742626)the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(CPSF)(GZC20231927).
文摘The NOD-like receptor family pyrin domain-containing protein 3(NLRP3)inflammasome is an intracellular protein complex containing a nucleotide-binding oligomerization domain,leucine-rich repeats,and a pyrin domain.It is a key regulator of inflammation in viral pneumonia(VP).Small-molecule inhibitors targeting various NLRP3 binding sites are advancing into early clinical trials,but their therapeutic utility is incompletely established.Xuanfei Baidu Formula(XF),clinically used for VP treatment,attenuates NLRP3 activation by hampering caspase-11 to impede polarization of pro-inflammatory macrophages in a model of lipopolysaccharide(LPS)-induced lung injury inmice.Herein,we demonstrate that XF attenuated influenza A virus(IAV)-induced lung inflammation as well as lung injury in immunocompetent(but not in macrophage-depleted)mice.RNA sequencing of sorted lung macrophages from IAV-infected mice revealed that XF inhibited activation of the NLRP3 inflammation and interleukin(IL)-1βproduction.Quantitative nuclear magnetic resonance of XF enabled us to develop XF-Comb1,a fixed-ratio combination of five bioactive compounds that recapitulated the bioactivity of XF in suppressing NLRP3 activation in macrophages in vitro and in vivo.Interestingly,XF-Comb1 inhibited assembly of the NLRP3 inflammasome through multi-site interactions with functional residues of NLRP3,apoptosis-associated speck-like protein containing caspase recruitment domain(ASC),and caspase-1.Taken together,this work advances the development of NLRP3 inhibitors by translating a complex herbal formula into defined bioactive compounds.
基金supported by the National Social Science Fund of China(24CGL027)the National Natural Science Foundation of China(72101009,72141304,72201122)National Key Research and Development Program of China(2022YFC3303304).
文摘This study uses Baidu News data and introduces a novel proxy for the rate of information flow to examine its relationship with return volatility in Chinese commodity futures and to test two competing hypotheses.We examine the contemporaneous relationships using correlation coefficient analysis,and find apparent differences between the information flow-return volatility relationship and the information flowtrading volume relationship.The empirical evidence contradicts the mixture of distribution hypothesis(MDH)and suggests that the rate of information flow distinctly affects trading volume and volatility.We conducted linear and nonlinear Granger causality tests to explore the sequential information arrival hypothesis(SIAH).The empirical results prove that a lead-lag linear and nonlinear causality exists between the information flow and return volatility of commodity futures,which is consistent with SIAH.In other words,a partial equilibrium exists before reaching the ultimate equilibrium when the new information arrives in the market.Finally,these findings are robust to alternative measurement of return volatility and subperiod analysis.Our findings reject the MDH and support the SIAH in the context of Chinese commodity futures.
基金Under the auspices of National Natural Science Foundation of China(No.41831284,41501120)Special Scientific Research Project of Education Department of Shaanxi Provincial Government(No.18JK0649)Scientific Research Project of Xi’an International Studies University(No.18XWC24)
文摘A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and advancing tourism. We systematically analyzed the accessibility of 56 scenic spots in Xi’an City, China, via car and public transport travel modes using the real-time travel function of the Baidu Maps API(Application Programming Interface) along with spatial analysis methods and the modal accessibility gap index of scenic spots. We obtained the following results. First, maximum and minimum travel times using public transport exceeded those using cars. Moreover, the accessibility of scenic spots via cars and public transport presented a circular spatial pattern of increasing travel time from the center to the periphery. Contrasting with travel by public transport, car travel showed a clear time-space compression effect. Second, accessibility of the scenic spots via cars and public transport showed some spatial heterogeneity, with no clear advantages of car accessibility in the central urban area. However, advantages of car accessibility were increasingly evident moving from the center to the periphery. Third, whereas the correlation of the modal accessibility gap index of scenic spots in Xi’an with global space was significantly positive, local spatial interdependence was only evident in some inner city areas and in marginal areas. Moreover, spatial heterogeneity was evident in two regions but was insignificant in other areas, indicating that the spatial interdependence of the modal accessibility gap index in most scenic spots was not apparent in terms of the overall effect of public transport routes, road networks, and the distribution of scenic spots. The improvement of public transport coverage in marginal areas and the optimization of public transport routes in central urban areas are essential tasks for improving travel using public transport in the future.
基金supported by the National Key R&D Program of China(2019YFC1711000)Qi-Huang Scholar of National Traditional Chinese Medicine Leading Talents Support Program(2018)Chief Scientist of Qi-Huang Project of National Traditional Chinese Medicine Inheritance and Innovation"One Hundred Million"Talent Project(2020).
文摘Huashi Baidu prescription(HSBDF),recommended in the Guideline for the Diagnosis and Treatment of Novel Coronavirus(2019-nCoV)Pneumonia(On Trials,the Seventh Edition),was clinically used to treat severe corona virus disease 2019(COVID-19)with cough,blood-stained sputum,inhibited defecation,red tongue etc.symptoms.This study was aimed to elucidate and profile the knowledge on its chemical constituents and the potential anti-inflammatory effect in vitro.In the study,the chemical constituents in extract of HSBDF were characterized by UPLC-Q-TOF/MS in both negative and positive modes,and the pro-inflammatory cytokines were measured by enzyme-linked immunosorbent assays(ELISA)to determine the effects of HSBDF in lipopolysaccharide(LPS)-stimulated RAW264.7 cells.The results showed that a total of 217 chemical constituents were tentativedly characterized in HSBDF.Moreover,HSBDF could alleviate the expression levels of IL-6 and TNF-αin the cell models,indicating that the antiviral effects of HSBDF might be associated with regulation of the inflammatory cytokines production in RAW264.7 cells.We hope that the results could be served as the basic data for further study of HSBDF on anti-COVID-19 effect.
基金This work is supported by the National Natural Science Foundation of China(71790594,71701150,and U1811462).
文摘This paper incorporates the Baidu Index into various heterogeneous autoregressive type time series models and shows that the Baidu Index is a superior predictor of realized volatility in the SSE 50 Index.Furthermore,the predictability of the Baidu Index is found to rise as the forecasting horizon increases.We also find that continuous components enhance predictive power across all horizons,but that increases are only sustained in the short and medium terms,as the long-term impact on volatility is less persistent.Our findings should be expected to influence investors interested in constructing trading strategies based on realized volatility.
基金Supported by Technology Innovation Project of Shandong Province(201210916001)
文摘The paper was to establish a simple and sensitive HPLC method for determination of berbefine hydrochloride content in Qingwen Baidu granule. The HPLC system consisted of Stable Bond - C18 column （4.6 × 150 mm, 5um） and with a mobile phase of acetonitrile -0.05mol/L potassium dihydrogen phosphate solution （50：50,v：v） mixture. Berberine hydrochloride was detected at the wavelength of 345 nm, with a flow rate of 1.0 ml/min and a column temperature of 30 ℃. The excipients and solvents in the granule could be well separated from the drug under such a designated chromatogram condition and did not interfere with the assay. A good linear relationship was found between peak area and the concentration of berberine hydrochloride in the range of 16.0 -48.0 I^g/mL. The average recovery of berberine hydrochloride was 99.09%. The established approach was specific, accurate, reliable, prompt, sensitive and applicable, and could be used to control the quality of Qingwen Baidu granule.
基金This work is supported by the National Natural Science Foundation of China(71320107003 and 71532009).
文摘A number of studies have investigated the predictability of Chinese stock returns with economic variables.Given the newly emerged dataset from the Internet,this paper investigates whether the Baidu Index can be employed to predict Chinese stock returns.The empirical results show that 1)the Search Frequency of Baidu Index(SFBI)can predict next day’s price changes;2)the stock prices go up when individual investors pay less attention to the stocks and go down when individual investors pay more attention to the stocks;3)the trading strategy constructed by shorting on the most SFBI and longing on the least SFBI outperforms the corresponding market index returns without consideration of the transaction costs.These results complement the existing literature on the predictability of Chinese stock returns and have potential implications for asset pricing and risk management.
