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
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
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
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
在过去的30年中,Timeliner语言被成功应用在国际空间站和轨道快车的任务管理、核心操作与有效载荷操作、运载火箭提供自主发射控制系统等诸多方面。然而Timeliner的相关技术研究大多集中在欧美发达国家,因此开展和掌握Timeliner相关技...在过去的30年中,Timeliner语言被成功应用在国际空间站和轨道快车的任务管理、核心操作与有效载荷操作、运载火箭提供自主发射控制系统等诸多方面。然而Timeliner的相关技术研究大多集中在欧美发达国家,因此开展和掌握Timeliner相关技术对促进我国相关领域研究和应用水平的提高具有重要意义。本文基于对Timeliner语言的深入分析和将其在自主任务规划调度领域应用的成功经验,借鉴Timeliner思想设计了TSCL(Timeliner-based Spacecraft Control Language)脚本控制语言规范,实现了一个简单的编译执行环境原型,为今后的研究与应用打下良好的基础。展开更多
Human ancestors first set foot on the interior of the Qinghai-Tibetan Plateau around 30,000–40,000 years ago, according to new research by scientists from the Chinese Academy of Sciences(CAS). This new finding moves ...Human ancestors first set foot on the interior of the Qinghai-Tibetan Plateau around 30,000–40,000 years ago, according to new research by scientists from the Chinese Academy of Sciences(CAS). This new finding moves back the earliest data of habitation in the interior by 20,000 years or more.展开更多
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.
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.
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.
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.
文摘在过去的30年中,Timeliner语言被成功应用在国际空间站和轨道快车的任务管理、核心操作与有效载荷操作、运载火箭提供自主发射控制系统等诸多方面。然而Timeliner的相关技术研究大多集中在欧美发达国家,因此开展和掌握Timeliner相关技术对促进我国相关领域研究和应用水平的提高具有重要意义。本文基于对Timeliner语言的深入分析和将其在自主任务规划调度领域应用的成功经验,借鉴Timeliner思想设计了TSCL(Timeliner-based Spacecraft Control Language)脚本控制语言规范,实现了一个简单的编译执行环境原型,为今后的研究与应用打下良好的基础。
文摘Human ancestors first set foot on the interior of the Qinghai-Tibetan Plateau around 30,000–40,000 years ago, according to new research by scientists from the Chinese Academy of Sciences(CAS). This new finding moves back the earliest data of habitation in the interior by 20,000 years or more.
