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
To observe the effects of GuiCaoBaiDu Decoction(GCBD)on chemotherapy especially doxorubicin(DOX)-induced myocardial cardiotoxicity(DIC)and explore the mechanisms.The present study presents a case demonstrating the pre...To observe the effects of GuiCaoBaiDu Decoction(GCBD)on chemotherapy especially doxorubicin(DOX)-induced myocardial cardiotoxicity(DIC)and explore the mechanisms.The present study presents a case demonstrating the preventive and therapeutic effects of GCBD on myocardial injury following chemotherapy.Then network pharmacology was employed to predict the targets of GCBD.Subsequently,a DOX-induced apoptosis model of H9C2 cardiomyocytes was established and co-cultured with serum containing GCBD serum.The viability and myocardial enzyme levels were evaluated using CCK8 assay and ELISA assay,TUNEL was using for apoptosis test.The GCBD effect was confirmed by tests of ROS andα-actinin levels,evaluation of mitochondrial morphology,and BAX co-localization with mitochondria.Furthermore,the expression levels of apoptosis-related molecules were determined via Western blotting.Additionally,a mouse model exhibiting DOX-induced cardiac functional impairment was generated and subsequently treated with GCBD.Myocardial enzyme level was tested at first,then echocardiography was tested,myocardial apoptosis in mice was observed through HE staining while related proteins were detected using IHC.Network pharmacological analyses revealed that GCBD exerts its effects on BAX,Caspase7,and other related molecules.Initially,we demonstrated the effective amelioration of DIC in cardiomyocyte viability,LDH/CK levels,α-actinin and ROS levels,and apoptosis by GCBD through improvements in TUNEL test,mitochondrial morphology and WB.The efficacy of GCBD in enhancing cardiac function in DIC mice has been validated through animal experiments.Taken together,our study showed that GCBD could significantly alleviate DOX induced myocardial injury by regulating mitochondrial apoptosis.The utilization of GCBD can effectively contribute to the prevention and treatment of chemotherapy-induced myocardial injury when anthracycline chemotherapy is employed in clinical practice.展开更多
Pseudo Human Settlements(PHS)are a fundamental element in human settlements geography,serving as an innovative frontier in the exploration of human–land relationships.Since entering the information age,PHS have emerg...Pseudo Human Settlements(PHS)are a fundamental element in human settlements geography,serving as an innovative frontier in the exploration of human–land relationships.Since entering the information age,PHS have emerged as a new catalyst for people's lives and urban development.Based on the Baidu Index,cold hot spot analysis and the Pearson correlation coefficient method were used to evaluate the spatiotemporal variation characteristics of the development of the quality of PHS at different levels in the three provinces of Northeast China(TPNC)during 2011–2022 and to characterize the influence of the system and factors.The results indicated that:1)temporally,PHS exhibits significant fluctuations,with an overall pattern of rapid increase followed by a gradual decline;2)spatially,PHS is marked by regional differentiation,with“three-core”dominance and a“cluster-like”distribution;3)systematically,the five major PHS systems generally exhibit an ascending and then a descending trend;4)in terms of influence,the socialization system serves as the core influence of PHS,with WeChat,JD.COM,and others are identified as the core influencing factors of subsystems.The findings of this study can provide scientific guidance for diversifying approaches to human settlements,promoting sustainable urban development,and revitalizing Northeast China.展开更多
The inter-city linkage heat data provided by Baidu Migration is employed as a characterization of inter-city linkages in order to facilitate the study of the network linkage characteristics and hierarchical structure ...The inter-city linkage heat data provided by Baidu Migration is employed as a characterization of inter-city linkages in order to facilitate the study of the network linkage characteristics and hierarchical structure of urban agglomeration in the Greater Bay Area through the use of social network analysis method.This is the inaugural application of big data based on location services in the study of urban agglomeration network structure,which represents a novel research perspective on this topic.The study reveals that the density of network linkages in the Greater Bay Area urban agglomeration has reached 100%,indicating a mature network-like spatial structure.This structure has given rise to three distinct communities:Shenzhen-Dongguan-Huizhou,Guangzhou-Foshan-Zhaoqing,and Zhuhai-Zhongshan-Jiangmen.Additionally,cities within the Greater Bay Area urban agglomeration play different roles,suggesting that varying development strategies may be necessary to achieve staggered development.The study demonstrates that large datasets represented by LBS can offer novel insights and methodologies for the examination of urban agglomeration network structures,contingent on the appropriate mining and processing of the data.展开更多
Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network te...Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.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
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(No.82074348,No.82274491)the innovation and development joint project of Shandong Province Natural Science Foundation(ZR2023LZL009)the Jinan clinical medical science and technology innovation plan(No.202225014,202328072).
文摘To observe the effects of GuiCaoBaiDu Decoction(GCBD)on chemotherapy especially doxorubicin(DOX)-induced myocardial cardiotoxicity(DIC)and explore the mechanisms.The present study presents a case demonstrating the preventive and therapeutic effects of GCBD on myocardial injury following chemotherapy.Then network pharmacology was employed to predict the targets of GCBD.Subsequently,a DOX-induced apoptosis model of H9C2 cardiomyocytes was established and co-cultured with serum containing GCBD serum.The viability and myocardial enzyme levels were evaluated using CCK8 assay and ELISA assay,TUNEL was using for apoptosis test.The GCBD effect was confirmed by tests of ROS andα-actinin levels,evaluation of mitochondrial morphology,and BAX co-localization with mitochondria.Furthermore,the expression levels of apoptosis-related molecules were determined via Western blotting.Additionally,a mouse model exhibiting DOX-induced cardiac functional impairment was generated and subsequently treated with GCBD.Myocardial enzyme level was tested at first,then echocardiography was tested,myocardial apoptosis in mice was observed through HE staining while related proteins were detected using IHC.Network pharmacological analyses revealed that GCBD exerts its effects on BAX,Caspase7,and other related molecules.Initially,we demonstrated the effective amelioration of DIC in cardiomyocyte viability,LDH/CK levels,α-actinin and ROS levels,and apoptosis by GCBD through improvements in TUNEL test,mitochondrial morphology and WB.The efficacy of GCBD in enhancing cardiac function in DIC mice has been validated through animal experiments.Taken together,our study showed that GCBD could significantly alleviate DOX induced myocardial injury by regulating mitochondrial apoptosis.The utilization of GCBD can effectively contribute to the prevention and treatment of chemotherapy-induced myocardial injury when anthracycline chemotherapy is employed in clinical practice.
基金National Natural Science Foundation of China,No.42471246,No.42201221Liaoning Province Natural Science,No.2023-MS-254+1 种基金Liaoning Province Social Science Planning Fund Project,No.L22CJY016Dalian Federation of Social Sciences,No.2022dlskzd037。
文摘Pseudo Human Settlements(PHS)are a fundamental element in human settlements geography,serving as an innovative frontier in the exploration of human–land relationships.Since entering the information age,PHS have emerged as a new catalyst for people's lives and urban development.Based on the Baidu Index,cold hot spot analysis and the Pearson correlation coefficient method were used to evaluate the spatiotemporal variation characteristics of the development of the quality of PHS at different levels in the three provinces of Northeast China(TPNC)during 2011–2022 and to characterize the influence of the system and factors.The results indicated that:1)temporally,PHS exhibits significant fluctuations,with an overall pattern of rapid increase followed by a gradual decline;2)spatially,PHS is marked by regional differentiation,with“three-core”dominance and a“cluster-like”distribution;3)systematically,the five major PHS systems generally exhibit an ascending and then a descending trend;4)in terms of influence,the socialization system serves as the core influence of PHS,with WeChat,JD.COM,and others are identified as the core influencing factors of subsystems.The findings of this study can provide scientific guidance for diversifying approaches to human settlements,promoting sustainable urban development,and revitalizing Northeast China.
文摘The inter-city linkage heat data provided by Baidu Migration is employed as a characterization of inter-city linkages in order to facilitate the study of the network linkage characteristics and hierarchical structure of urban agglomeration in the Greater Bay Area through the use of social network analysis method.This is the inaugural application of big data based on location services in the study of urban agglomeration network structure,which represents a novel research perspective on this topic.The study reveals that the density of network linkages in the Greater Bay Area urban agglomeration has reached 100%,indicating a mature network-like spatial structure.This structure has given rise to three distinct communities:Shenzhen-Dongguan-Huizhou,Guangzhou-Foshan-Zhaoqing,and Zhuhai-Zhongshan-Jiangmen.Additionally,cities within the Greater Bay Area urban agglomeration play different roles,suggesting that varying development strategies may be necessary to achieve staggered development.The study demonstrates that large datasets represented by LBS can offer novel insights and methodologies for the examination of urban agglomeration network structures,contingent on the appropriate mining and processing of the data.
文摘Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.
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.
