Animation has been a popular form of feature length movie.In addition to the mean of entertainment,some animated works move audiences deeply and even arouse their reflection.In order to achieve this,the setup of story...Animation has been a popular form of feature length movie.In addition to the mean of entertainment,some animated works move audiences deeply and even arouse their reflection.In order to achieve this,the setup of story structure is critical,and the arrangement of the time and setting of foreshadowing in plots influence significantly on audiences’understanding and feeling towards films.Your Name,directed by Japanese animation director,Makoto Shinkai,was an animated feature film released in 2016,soon received high praise by audiences and film review critics,and ended with the highest gross in box office of the director’s works ever.The story of this animation is special for its non-linear structure,which is seldom seen in feature length animated works.The question on how this non-linear structure presents a compelling story and touch audiences so deeply is worth to explore in depth.There is very few analytical study that dedicates on the examination of the foreshadowing based on timeline from an empirical point of view in the area of narrative studies.Hence,this study investigates the spatial-time arrangement,and foreshadowing of plots in Your Name with the basis of timeline in the film.The textual analysis is undertaken with timeline by deconstructing events and elements in the story to look into the arrangement of foreshadowing.The result indicates that the spatial-time structure is complicated by keeps jumping between the year 2013 and 2016 from the two main characters’point of views in different locations,and ends in the year 2021.There are six elements of foreshadowing in this story,and each of them corresponds to important turning points of the story.They appear in the first and the second act of the story to progress the storyline and make the story reasonable through the functions of advanced notice and advanced mention,and gradually echo and accumulate to build up the climax of the narrative to cross over to the third act.In spite of the three settings of the story,the crash of meteorite,the exchanging of body and soul,and the time traveling are rather ordinary,elements of foreshadowing originated form Japanese folk culture interweave plots of the story to create its specialty.展开更多
Accurately correlating the sweating rate and the concentration of biomarkers in sweat is essential in many sweat-based diagnostic applications.These two measurements are always done simultaneously in wearable sweat se...Accurately correlating the sweating rate and the concentration of biomarkers in sweat is essential in many sweat-based diagnostic applications.These two measurements are always done simultaneously in wearable sweat sensing platforms.However,concentration measurements of biomarkers are always delayed on the timeline compared with their production,whereas there is no such delay for sweating rate.Thus,a timeline mismatch exists between these two measurements.This means that the concentration vs rate correlation constructed on the basis of such measurements will deviate from the actual correlation.This study demonstrates the existence of this mismatch and explains its cause using sweat Na^(+)measurements.It also proposes an effective approach that applies a point-by-point compensation for the delay between Na+measurements and the real-time sweating rates,such that the data on the repositioned concentration vs time curve correspond to exactly the same point on the timeline as their production.A vison sensor is developed to measure the sweating rate with high accuracy at a frequency of more than 0.1 Hz.Off-body and on-body measurements of sweating rate and Na^(+)concentration are carried out,and concentration–rate correlations are constructed using both measured and repositioned concentration curves.The least squares and random forest methods are employed to fit the constructed correlations and evaluate the reliability of the proposed approach.The use of the repositioned concentration curve gives a constructed correlation that is much closer to the actual one.This study indicates the necessity to rearrange sensor-measured biomarker concentration vs time curves when correlations of concentration with sweating rate need to be constructed and proposes a practical point-by-point data repositioning strategy for doing so.The results presented here will benefit the study of sweat biomarkers with unclear correlations with sweating rate,as well as providing a basis for the development of more reliable sweat-based diagnostic methods.展开更多
In mathematics, space encompasses various structured sets such as Euclidean, metric, or vector space. This article introduces temporal space—a novel concept independent of traditional spatial dimensions and frames of...In mathematics, space encompasses various structured sets such as Euclidean, metric, or vector space. This article introduces temporal space—a novel concept independent of traditional spatial dimensions and frames of reference, accommodating multiple object-oriented durations in a dynamical system. The novelty of building temporal space using finite geometry is rooted in recent advancements in the theory of relationalism which utilizes Euclidean geometry, set theory, dimensional analysis, and a causal signal system. Multiple independent and co-existing cyclic durations are measurable as a network of finite one-dimensional timelines. The work aligns with Leibniz’s comments on relational measures of duration with the addition of using discrete cyclic relational events that define these finite temporal spaces, applicable to quantum and classical physics. Ancient formulas have symmetry along with divisional and subdivisional orders of operations that create discrete and ordered temporal geometric elements. Elements have cyclically conserved symmetry but unique cyclic dimensional quantities applicable for anchoring temporal equivalence relations in linear time. We present both fixed equivalences and expanded periods of temporal space offering a non-Greek calendar methodology consistent with ancient global timekeeping descriptions. Novel applications of Euclid’s division algorithm and Cantor’s pairing function introduce a novel paired function equation. The mathematical description of finite temporal space within relationalism theory offers an alternative discrete geometric methodology for examining ancient timekeeping with new hypotheses for Egyptian calendars.展开更多
Many existing studies have considered the factors influencing review helpfulness,mainly focusing on reviewer impact,review informativeness,and managerial response,based on signaling theory.However,previous studies hav...Many existing studies have considered the factors influencing review helpfulness,mainly focusing on reviewer impact,review informativeness,and managerial response,based on signaling theory.However,previous studies have simply regarded these factors as independent signals,thus ignoring their in-depth transmission and reception processes.The conclusions about the impact of reviewers on review helpfulness are also inconsistent due to the inaccurate measure-ment of variables.To fill the above gaps,we followed the signaling timeline theoretical framework used in signaling the-ory and employed a bootstrapping analysis to examine how reviewer impact,review informativeness,and hotel manageri-al responses interact to influence review helpfulness.In this study,we used a unique dataset that included official labels from one leading online travel agency.The results show that reviewer impact may affect review helpfulness sequentially through review informativeness and hotel managerial response.Furthermore,by using official labels,both reviewer expert-ise and reviewer experience significantly affect review helpfulness.Finally,we discussed the theoretical and practical im-plications of these findings.展开更多
The paper introduces an “ab initio” model to calculate the timeline of the temperature field of the Big Bang radiation field in the universe and its connection with the Hubble law. The theoretical approach is rooted...The paper introduces an “ab initio” model to calculate the timeline of the temperature field of the Big Bang radiation field in the universe and its connection with the Hubble law. The theoretical approach is rooted in the concept of quantum uncertainty and has a quantum character. The aim is to emphasize that the big bang energy diffusion throughout the expanding universe is enough to account also for the Hubble tension.展开更多
This article proposes a document-level prompt learning approach using LLMs to extract the timeline-based storyline. Through verification tests on datasets such as ESCv1.2 and Timeline17, the results show that the prom...This article proposes a document-level prompt learning approach using LLMs to extract the timeline-based storyline. Through verification tests on datasets such as ESCv1.2 and Timeline17, the results show that the prompt + one-shot learning proposed in this article works well. Meanwhile, our research findings indicate that although timeline-based storyline extraction has shown promising prospects in the practical applications of LLMs, it is still a complex natural language processing task that requires further research.展开更多
Investigating the spatio-temporal transmission features and process of novel coronavirus disease 2019(COVID-19)mitigation strategies are of great practical significance to understand the development of COVID-19 and es...Investigating the spatio-temporal transmission features and process of novel coronavirus disease 2019(COVID-19)mitigation strategies are of great practical significance to understand the development of COVID-19 and establish international cooperation for prevention and control.In this paper,the cumulative number of confirmed cases,number of confirmed cases per day and cumulative number of deaths,were used to compare transmission paths,outbreaks timelines,and coping strategies of COVID-19 in China and the US.The results revealed that:first,the COVID-19 outbreaks in both China and the US exhibited a 6-week initiation stage.In China,the COVID-19 erupted in late January.It lasted only a short period of time and was almost completely contained within 6-8 weeks.But the COVID-19 erupted in early March in the US and was still in the peak or post-peak stage.Second,in China,the COVID-19 emerged in Wuhan and spread to other regions of Hubei Province and then nationwide,exhibiting a cross('+')-shaped of spread with Wuhan city as the center.Importantly,the COVID-19 in China had a large concentration and there were no national outbreaks.In contrast,the COVID-19 in the US first spread through New York and the western and eastern coasts but has since emerged throughout the entire country.Third,the lack of emergency response planning in both countries in the early stage(about 6-week)hampered COVID-19 prevention.However,actively high-pressure prevention and control measures were used to basically control COVID-19 in early March in China.And then China has gradually resumed business and production activities.Unfortunately,the US government missed the best opportunity to contain the epidemic.Faced with the choice between economic recovery and coronavirus containment,the US removed the quarantine and restriction measures too early.The COVID-19 is continuing to spread in the country and blossom everywhere,still showing no signs of receding.展开更多
Helicobacter pylori(H.pylori)is a bacterium that infects more than a half of world’s population.Although it is mainly related to the development of gastroduodenal diseases,several studies have shown that such infecti...Helicobacter pylori(H.pylori)is a bacterium that infects more than a half of world’s population.Although it is mainly related to the development of gastroduodenal diseases,several studies have shown that such infection may also influence the development and severity of various extragastric diseases.According to the current evidence,whereas this bacterium is a risk factor for some of these manifestations,it might play a protective role in other pathological conditions.In that context,when considered the gastrointestinal tract,H.pylori positivity have been related to Inflammatory Bowel Disease,Gastroesophageal Reflux Disease,Non-Alcoholic Fatty Liver Disease,Hepatic Carcinoma,Cholelithiasis,and Cholecystitis.Moreover,lower serum levels of iron and vitamin B12 have been found in patients with H.pylori infection,leading to the emergence of anemias in a portion of them.With regards to neurological manifestations,a growing number of studies have associated that bacterium with multiple sclerosis,Alzheimer’s disease,Parkinson’s disease,and Guillain-Barrésyndrome.Interestingly,the risk of developing cardiovascular disorders,such as atherosclerosis,is also influenced by the infection.Besides that,the H.pylori-associated inflammation may also lead to increased insulin resistance,leading to a higher risk of diabetes mellitus among infected individuals.Finally,the occurrence of dermatological and ophthalmic disorders have also been related to that microorganism.In this sense,this minireview aims to gather the main studies associating H.pylori infection with extragastric conditions,and also to explore the main mechanisms that may explain the role of H.pylori in those diseases.展开更多
Purpose： In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach： Articles in the field of scientometrics were c...Purpose： In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach： Articles in the field of scientometrics were chosen as research cases in this study. A time-sliced co-word network was generated and then clustered. Afterwards, we generated an alluvial diagram to show dynamic changes of hot topics, including their merges and splits over time. Findings： After analyzing the dynamic changes in the field of scientometrics from 2011 to 2015, we found that two clusters being merged did not mean that the old topics had disappeared and a totally new one had emerged. The topics were possibly still active the following year, but the newer topics had drawn more attention. The changes of hot topics reflected the shift in researchers＇ interests. subdivided and re-merged. For example, several topics as research progressed. Research topics in scientometrics were constantly a cluster involving ＂industry＂ was divided into Research limitations： When examining longer time periods, we encounter the problem of dealing with bigger data sets. Analyzing data year by year would be tedious, but if we combine, e.g. two years into one time slice, important details would be missed. Practical implications： This method can be applied to any research field to illustrate the dynamics of hot topics. It can indicate the promising directions for researchers and provide guidance to decision makers. Originality/value： The use of alluvial diagrams is a distinctive and meaningful approach to detecting hot topics and especially to illustrating their dynamics.展开更多
In order to realize the explorer autonomy, the software architecture of autonomous mission management system (AMMS) is given for the deep space explorer, and the autonomous mission planning system, the kernel part of ...In order to realize the explorer autonomy, the software architecture of autonomous mission management system (AMMS) is given for the deep space explorer, and the autonomous mission planning system, the kernel part of this architecture, is designed in detail. In order to describe the parallel activity, the state timeline is introduced to build the formal model of the planning system and based on this model, the temporal constraint satisfaction planning algorithm is proposed to produce the explorer’s activity sequence. With some key subsystems of the deep space explorer as examples, the autonomous mission planning simulation system is designed. The results show that this system can calculate the executable activity sequence with the given mission goals and initial state of the explorer.展开更多
Sina Weibo,an online social network site,has gained popularity but lost it in recent years.Now we are still curious on the number of posts in Sina Weibo in its golden age.Besides checking this number in Sina’s operat...Sina Weibo,an online social network site,has gained popularity but lost it in recent years.Now we are still curious on the number of posts in Sina Weibo in its golden age.Besides checking this number in Sina’s operating results,we aim to estimate and verify this number through measurement by using statistical techniques.Existing approaches on measurement always rely on the supported streaming application programming interface(API)which provides proportional sampling.However no such API is available for Sina Weibo.Instead,Sina provides a public timeline API which provides non-proportional sampling but always returns a(nearly)fixed number of s amples.In this paper,we present a novel method utilizing this API and estimate the number of posts in Sina Weibo in its golden age.展开更多
This biographical timeline complements the biography of Professor Karl Pister at the beginning of this special issue in providing the background information of some of Professor Karl Pister’s influential teachers,men...This biographical timeline complements the biography of Professor Karl Pister at the beginning of this special issue in providing the background information of some of Professor Karl Pister’s influential teachers,mentors,colleagues,research collaborators,and students.展开更多
Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over differen...Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over different desti-nation systems.In this paper,the Hadoop cluster with four nodes integrated with RHadoop,Flume,and Hive is created to analyze the tweets gathered from the Twitter stream.Twitter stream data is collected relevant to an event/topic like IPL-2015,cricket,Royal Challengers Bangalore,Kohli,Modi,from May 24 to 30,2016 using Flume.Hive is used as a data warehouse to store the streamed tweets.Twitter analytics like maximum number of tweets by users,the average number of followers,and maximum number of friends are obtained using Hive.The network graph is constructed with the user’s unique screen name and men-tions using‘R’.A timeline graph of individual users is generated using‘R’.Also,the proposed solution analyses the emotions of cricket fans by classifying their Twitter messages into appropriate emotional categories using the optimized sup-port vector neural network(OSVNN)classification model.To attain better classi-fication accuracy,the performance of SVNN is enhanced using a chimp optimization algorithm(ChOA).Extracting the users’emotions toward an event is beneficial for prediction,but when coupled with visualizations,it becomes more powerful.Bar-chart and wordcloud are generated to visualize the emotional analysis results.展开更多
Objective:To investigate the golden-time-awareness of and the necessary actions in response to acute myocardial infarction among the general public.Methods:This study was conducted with the use of a descriptive resear...Objective:To investigate the golden-time-awareness of and the necessary actions in response to acute myocardial infarction among the general public.Methods:This study was conducted with the use of a descriptive research design and convenience sampling.A sample of 800 subjects,using self-structured knowledge questionnaires,was selected for data collection and analysis.The study was conducted at Dr.M.G.R.Educational and Research Institute,India,from February to November 2022.Awareness of myocardial infarction symptoms and intervention timeline(the golden time)was investigated.A multivariate logistic regression analysis was performed to identify the demographic factors affecting the recognition of the golden time of acute myocardial infarction.Results:A total of 800 subjects were included.Among the subjects,367(45.8%)were male,433(54.2%)were female,and 443(55.3%)participants failed to recognize the golden time.Our multivariate logistic regression analysis showed that people with a bachelor’s degree(OR=0.41,95%CI:0.23-0.74,P=0.03)and a high school level diploma(OR=0.55,95%CI:0.31-0.97,P=0.03)are more likely to know about myocardial infarction(golden time)than illiterate people.Additionally,people who are employed(OR=0.59,95%CI:0.41-0.85,P=0.05)are more likely to know about myocardial infarction(golden time)than those who are not.Conclusions:The majority of people in the awareness group realize that taking myocardial infarction patients to the hospital would be the best course of action.The unawareness of the ideal treatment window for myocardial infarction may cause a delay in seeking medical attention,which can lead to an increase in mortality and morbidity.展开更多
文摘Animation has been a popular form of feature length movie.In addition to the mean of entertainment,some animated works move audiences deeply and even arouse their reflection.In order to achieve this,the setup of story structure is critical,and the arrangement of the time and setting of foreshadowing in plots influence significantly on audiences’understanding and feeling towards films.Your Name,directed by Japanese animation director,Makoto Shinkai,was an animated feature film released in 2016,soon received high praise by audiences and film review critics,and ended with the highest gross in box office of the director’s works ever.The story of this animation is special for its non-linear structure,which is seldom seen in feature length animated works.The question on how this non-linear structure presents a compelling story and touch audiences so deeply is worth to explore in depth.There is very few analytical study that dedicates on the examination of the foreshadowing based on timeline from an empirical point of view in the area of narrative studies.Hence,this study investigates the spatial-time arrangement,and foreshadowing of plots in Your Name with the basis of timeline in the film.The textual analysis is undertaken with timeline by deconstructing events and elements in the story to look into the arrangement of foreshadowing.The result indicates that the spatial-time structure is complicated by keeps jumping between the year 2013 and 2016 from the two main characters’point of views in different locations,and ends in the year 2021.There are six elements of foreshadowing in this story,and each of them corresponds to important turning points of the story.They appear in the first and the second act of the story to progress the storyline and make the story reasonable through the functions of advanced notice and advanced mention,and gradually echo and accumulate to build up the climax of the narrative to cross over to the third act.In spite of the three settings of the story,the crash of meteorite,the exchanging of body and soul,and the time traveling are rather ordinary,elements of foreshadowing originated form Japanese folk culture interweave plots of the story to create its specialty.
基金support from the National Natural Science Foundation of China(Grant No.61901295)the Nanchang Microsystem Institute of Tianjin University.
文摘Accurately correlating the sweating rate and the concentration of biomarkers in sweat is essential in many sweat-based diagnostic applications.These two measurements are always done simultaneously in wearable sweat sensing platforms.However,concentration measurements of biomarkers are always delayed on the timeline compared with their production,whereas there is no such delay for sweating rate.Thus,a timeline mismatch exists between these two measurements.This means that the concentration vs rate correlation constructed on the basis of such measurements will deviate from the actual correlation.This study demonstrates the existence of this mismatch and explains its cause using sweat Na^(+)measurements.It also proposes an effective approach that applies a point-by-point compensation for the delay between Na+measurements and the real-time sweating rates,such that the data on the repositioned concentration vs time curve correspond to exactly the same point on the timeline as their production.A vison sensor is developed to measure the sweating rate with high accuracy at a frequency of more than 0.1 Hz.Off-body and on-body measurements of sweating rate and Na^(+)concentration are carried out,and concentration–rate correlations are constructed using both measured and repositioned concentration curves.The least squares and random forest methods are employed to fit the constructed correlations and evaluate the reliability of the proposed approach.The use of the repositioned concentration curve gives a constructed correlation that is much closer to the actual one.This study indicates the necessity to rearrange sensor-measured biomarker concentration vs time curves when correlations of concentration with sweating rate need to be constructed and proposes a practical point-by-point data repositioning strategy for doing so.The results presented here will benefit the study of sweat biomarkers with unclear correlations with sweating rate,as well as providing a basis for the development of more reliable sweat-based diagnostic methods.
文摘In mathematics, space encompasses various structured sets such as Euclidean, metric, or vector space. This article introduces temporal space—a novel concept independent of traditional spatial dimensions and frames of reference, accommodating multiple object-oriented durations in a dynamical system. The novelty of building temporal space using finite geometry is rooted in recent advancements in the theory of relationalism which utilizes Euclidean geometry, set theory, dimensional analysis, and a causal signal system. Multiple independent and co-existing cyclic durations are measurable as a network of finite one-dimensional timelines. The work aligns with Leibniz’s comments on relational measures of duration with the addition of using discrete cyclic relational events that define these finite temporal spaces, applicable to quantum and classical physics. Ancient formulas have symmetry along with divisional and subdivisional orders of operations that create discrete and ordered temporal geometric elements. Elements have cyclically conserved symmetry but unique cyclic dimensional quantities applicable for anchoring temporal equivalence relations in linear time. We present both fixed equivalences and expanded periods of temporal space offering a non-Greek calendar methodology consistent with ancient global timekeeping descriptions. Novel applications of Euclid’s division algorithm and Cantor’s pairing function introduce a novel paired function equation. The mathematical description of finite temporal space within relationalism theory offers an alternative discrete geometric methodology for examining ancient timekeeping with new hypotheses for Egyptian calendars.
基金supported by the Philosophy and Social Science Planning Program of Shanghai(2021BGL018).
文摘Many existing studies have considered the factors influencing review helpfulness,mainly focusing on reviewer impact,review informativeness,and managerial response,based on signaling theory.However,previous studies have simply regarded these factors as independent signals,thus ignoring their in-depth transmission and reception processes.The conclusions about the impact of reviewers on review helpfulness are also inconsistent due to the inaccurate measure-ment of variables.To fill the above gaps,we followed the signaling timeline theoretical framework used in signaling the-ory and employed a bootstrapping analysis to examine how reviewer impact,review informativeness,and hotel manageri-al responses interact to influence review helpfulness.In this study,we used a unique dataset that included official labels from one leading online travel agency.The results show that reviewer impact may affect review helpfulness sequentially through review informativeness and hotel managerial response.Furthermore,by using official labels,both reviewer expert-ise and reviewer experience significantly affect review helpfulness.Finally,we discussed the theoretical and practical im-plications of these findings.
文摘The paper introduces an “ab initio” model to calculate the timeline of the temperature field of the Big Bang radiation field in the universe and its connection with the Hubble law. The theoretical approach is rooted in the concept of quantum uncertainty and has a quantum character. The aim is to emphasize that the big bang energy diffusion throughout the expanding universe is enough to account also for the Hubble tension.
文摘This article proposes a document-level prompt learning approach using LLMs to extract the timeline-based storyline. Through verification tests on datasets such as ESCv1.2 and Timeline17, the results show that the prompt + one-shot learning proposed in this article works well. Meanwhile, our research findings indicate that although timeline-based storyline extraction has shown promising prospects in the practical applications of LLMs, it is still a complex natural language processing task that requires further research.
基金Strategic Priority Research Program of Chinese Academy of Sciences,No.XDA20010203Second Tibetan Plateau Scientific Expedition and Research Program(STEP),No.2019QZKK1006。
文摘Investigating the spatio-temporal transmission features and process of novel coronavirus disease 2019(COVID-19)mitigation strategies are of great practical significance to understand the development of COVID-19 and establish international cooperation for prevention and control.In this paper,the cumulative number of confirmed cases,number of confirmed cases per day and cumulative number of deaths,were used to compare transmission paths,outbreaks timelines,and coping strategies of COVID-19 in China and the US.The results revealed that:first,the COVID-19 outbreaks in both China and the US exhibited a 6-week initiation stage.In China,the COVID-19 erupted in late January.It lasted only a short period of time and was almost completely contained within 6-8 weeks.But the COVID-19 erupted in early March in the US and was still in the peak or post-peak stage.Second,in China,the COVID-19 emerged in Wuhan and spread to other regions of Hubei Province and then nationwide,exhibiting a cross('+')-shaped of spread with Wuhan city as the center.Importantly,the COVID-19 in China had a large concentration and there were no national outbreaks.In contrast,the COVID-19 in the US first spread through New York and the western and eastern coasts but has since emerged throughout the entire country.Third,the lack of emergency response planning in both countries in the early stage(about 6-week)hampered COVID-19 prevention.However,actively high-pressure prevention and control measures were used to basically control COVID-19 in early March in China.And then China has gradually resumed business and production activities.Unfortunately,the US government missed the best opportunity to contain the epidemic.Faced with the choice between economic recovery and coronavirus containment,the US removed the quarantine and restriction measures too early.The COVID-19 is continuing to spread in the country and blossom everywhere,still showing no signs of receding.
文摘Helicobacter pylori(H.pylori)is a bacterium that infects more than a half of world’s population.Although it is mainly related to the development of gastroduodenal diseases,several studies have shown that such infection may also influence the development and severity of various extragastric diseases.According to the current evidence,whereas this bacterium is a risk factor for some of these manifestations,it might play a protective role in other pathological conditions.In that context,when considered the gastrointestinal tract,H.pylori positivity have been related to Inflammatory Bowel Disease,Gastroesophageal Reflux Disease,Non-Alcoholic Fatty Liver Disease,Hepatic Carcinoma,Cholelithiasis,and Cholecystitis.Moreover,lower serum levels of iron and vitamin B12 have been found in patients with H.pylori infection,leading to the emergence of anemias in a portion of them.With regards to neurological manifestations,a growing number of studies have associated that bacterium with multiple sclerosis,Alzheimer’s disease,Parkinson’s disease,and Guillain-Barrésyndrome.Interestingly,the risk of developing cardiovascular disorders,such as atherosclerosis,is also influenced by the infection.Besides that,the H.pylori-associated inflammation may also lead to increased insulin resistance,leading to a higher risk of diabetes mellitus among infected individuals.Finally,the occurrence of dermatological and ophthalmic disorders have also been related to that microorganism.In this sense,this minireview aims to gather the main studies associating H.pylori infection with extragastric conditions,and also to explore the main mechanisms that may explain the role of H.pylori in those diseases.
基金supported by the National Social Science Foundation of China (Grant No.: 14BTQ030)
文摘Purpose： In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach： Articles in the field of scientometrics were chosen as research cases in this study. A time-sliced co-word network was generated and then clustered. Afterwards, we generated an alluvial diagram to show dynamic changes of hot topics, including their merges and splits over time. Findings： After analyzing the dynamic changes in the field of scientometrics from 2011 to 2015, we found that two clusters being merged did not mean that the old topics had disappeared and a totally new one had emerged. The topics were possibly still active the following year, but the newer topics had drawn more attention. The changes of hot topics reflected the shift in researchers＇ interests. subdivided and re-merged. For example, several topics as research progressed. Research topics in scientometrics were constantly a cluster involving ＂industry＂ was divided into Research limitations： When examining longer time periods, we encounter the problem of dealing with bigger data sets. Analyzing data year by year would be tedious, but if we combine, e.g. two years into one time slice, important details would be missed. Practical implications： This method can be applied to any research field to illustrate the dynamics of hot topics. It can indicate the promising directions for researchers and provide guidance to decision makers. Originality/value： The use of alluvial diagrams is a distinctive and meaningful approach to detecting hot topics and especially to illustrating their dynamics.
文摘In order to realize the explorer autonomy, the software architecture of autonomous mission management system (AMMS) is given for the deep space explorer, and the autonomous mission planning system, the kernel part of this architecture, is designed in detail. In order to describe the parallel activity, the state timeline is introduced to build the formal model of the planning system and based on this model, the temporal constraint satisfaction planning algorithm is proposed to produce the explorer’s activity sequence. With some key subsystems of the deep space explorer as examples, the autonomous mission planning simulation system is designed. The results show that this system can calculate the executable activity sequence with the given mission goals and initial state of the explorer.
基金This work was supported in part by the National Natural Science Foundation of China under Grants 61602111,61502099,61502100,61532013the Jiangsu Provincial Natural Science Foundation of China under Grants BK20150628,BK20150637+2 种基金the Jiangsu Provincial Scientific and Technological Achievements Transfer Fund,and by the Jiangsu Provincial Key Laboratory of Network and Information Security under Grant BM2003201the Key Laboratory of Computer Network and Information Integration of Ministry of Education of China under Grant 93K-9Collaborative Innovation Center of Novel Software Technology and Industrialization.
文摘Sina Weibo,an online social network site,has gained popularity but lost it in recent years.Now we are still curious on the number of posts in Sina Weibo in its golden age.Besides checking this number in Sina’s operating results,we aim to estimate and verify this number through measurement by using statistical techniques.Existing approaches on measurement always rely on the supported streaming application programming interface(API)which provides proportional sampling.However no such API is available for Sina Weibo.Instead,Sina provides a public timeline API which provides non-proportional sampling but always returns a(nearly)fixed number of s amples.In this paper,we present a novel method utilizing this API and estimate the number of posts in Sina Weibo in its golden age.
文摘This biographical timeline complements the biography of Professor Karl Pister at the beginning of this special issue in providing the background information of some of Professor Karl Pister’s influential teachers,mentors,colleagues,research collaborators,and students.
文摘Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints.A parallel computational environment pro-vided by Apache Hadoop can distribute and process the data over different desti-nation systems.In this paper,the Hadoop cluster with four nodes integrated with RHadoop,Flume,and Hive is created to analyze the tweets gathered from the Twitter stream.Twitter stream data is collected relevant to an event/topic like IPL-2015,cricket,Royal Challengers Bangalore,Kohli,Modi,from May 24 to 30,2016 using Flume.Hive is used as a data warehouse to store the streamed tweets.Twitter analytics like maximum number of tweets by users,the average number of followers,and maximum number of friends are obtained using Hive.The network graph is constructed with the user’s unique screen name and men-tions using‘R’.A timeline graph of individual users is generated using‘R’.Also,the proposed solution analyses the emotions of cricket fans by classifying their Twitter messages into appropriate emotional categories using the optimized sup-port vector neural network(OSVNN)classification model.To attain better classi-fication accuracy,the performance of SVNN is enhanced using a chimp optimization algorithm(ChOA).Extracting the users’emotions toward an event is beneficial for prediction,but when coupled with visualizations,it becomes more powerful.Bar-chart and wordcloud are generated to visualize the emotional analysis results.
文摘Objective:To investigate the golden-time-awareness of and the necessary actions in response to acute myocardial infarction among the general public.Methods:This study was conducted with the use of a descriptive research design and convenience sampling.A sample of 800 subjects,using self-structured knowledge questionnaires,was selected for data collection and analysis.The study was conducted at Dr.M.G.R.Educational and Research Institute,India,from February to November 2022.Awareness of myocardial infarction symptoms and intervention timeline(the golden time)was investigated.A multivariate logistic regression analysis was performed to identify the demographic factors affecting the recognition of the golden time of acute myocardial infarction.Results:A total of 800 subjects were included.Among the subjects,367(45.8%)were male,433(54.2%)were female,and 443(55.3%)participants failed to recognize the golden time.Our multivariate logistic regression analysis showed that people with a bachelor’s degree(OR=0.41,95%CI:0.23-0.74,P=0.03)and a high school level diploma(OR=0.55,95%CI:0.31-0.97,P=0.03)are more likely to know about myocardial infarction(golden time)than illiterate people.Additionally,people who are employed(OR=0.59,95%CI:0.41-0.85,P=0.05)are more likely to know about myocardial infarction(golden time)than those who are not.Conclusions:The majority of people in the awareness group realize that taking myocardial infarction patients to the hospital would be the best course of action.The unawareness of the ideal treatment window for myocardial infarction may cause a delay in seeking medical attention,which can lead to an increase in mortality and morbidity.
