The aim of this study was to describe the intensive care unit (ICU) nurses’ knowledge, attitude, and practice of mouth care for their patients. This is a cross sectional hospital based study. A total of 154 ICU nurse...The aim of this study was to describe the intensive care unit (ICU) nurses’ knowledge, attitude, and practice of mouth care for their patients. This is a cross sectional hospital based study. A total of 154 ICU nurses were randomly selected from seven governmental hospitals in Khartoum state and were invited to take part in this study. 97.4% of ICU nurses had high knowledge of the importance of mouth care for ICU patients and similarly for the priority of mouth care. However, only 20% of nurses were found to apply good practice. 64.5% of the nurses received training in mouth care provision, and (81%) indicated that further training would be beneficial. The oral care practice of ICU nurses ranged between average among 57% and poor among 23%. The study highlighted the need for setting of ICU protocols and adoption of advanced training for ICU nurses.展开更多
Background: Preterm labor is one of the most public health problems related to neonates admitted to Neonatal Intensive Care Unit (NICU). Poor knowledge among mothers about the care requirements of a preterm neonate is...Background: Preterm labor is one of the most public health problems related to neonates admitted to Neonatal Intensive Care Unit (NICU). Poor knowledge among mothers about the care requirements of a preterm neonate is immediate cause for post-discharge medical problems in premature and neonates readmission to NICU. Hence, this study aims to evaluate mothers’ knowledge of caring for premature infants post-discharge from Neonatal Intensive Care Units in the Gaza strip. Methods: A Quantitative-based cross-sectional designs study was used to survey 120 mothers of preterm neonates at the time of preterm neonates discharge by face-to-face interview at Al-Shifa medical complex and Nasser hospital between February and June 2018. Results: The results showed that only about 58.4% of mothers of premature babies had good knowledge about health care needed for premature infants after discharge from NICU. Furthermore, there was no statistically significant difference between the level of knowledge and mother’s sociodemographic characteristics (P-values > 0.05). Conclusion: Mothers’ knowledge of premature infants care was not at the optimal level, which might put the newborns at risk. Therefore, the study emphasizes the necessity of thoughtful exchange of health information between team members and mothers and establishing pre- and post-discharge plans with mothers to start their healthy transition of preterm neonate to home and to ameliorate family concerns.展开更多
The importance of prerequisites for education has recently become a promising research direction.This work proposes a statistical model for measuring dependencies in learning resources between knowledge units.Instruct...The importance of prerequisites for education has recently become a promising research direction.This work proposes a statistical model for measuring dependencies in learning resources between knowledge units.Instructors are expected to present knowledge units in a semantically well-organized manner to facilitate students’understanding of the material.The proposed model reveals how inner concepts of a knowledge unit are dependent on each other and on concepts not in the knowledge unit.To help understand the complexity of the inner concepts themselves,WordNet is included as an external knowledge base in thismodel.The goal is to develop a model that will enable instructors to evaluate whether or not a learning regime has hidden relationships which might hinder students’ability to understand the material.The evaluation,employing three textbooks,shows that the proposed model succeeds in discovering hidden relationships among knowledge units in learning resources and in exposing the knowledge gaps in some knowledge units.展开更多
The major offshoot of innovation of electric vehicles (EVs) is sustainability. Given the prevailing challenges of carbon emissions from automobiles and the consequent effects on climate change, the introduction of EVs...The major offshoot of innovation of electric vehicles (EVs) is sustainability. Given the prevailing challenges of carbon emissions from automobiles and the consequent effects on climate change, the introduction of EVs is timely to serve as an effective mechanism for reversing global warming. However, knowledge of EVs is not well distributed among the general population. This study is therefore aimed to analyze the familiarity of Americans with the basic features of EVs. One hundred respondents were selected from two underserved communities in Huntsville, Alabama, using a simple sampling technique. Nonetheless, only 71 residents returned the filled questionnaires. Data were analyzed using frequency counts and descriptive statistics. Findings revealed that the respondents were generally aware of EVs, but EVs are not yet common on their roads. The respondents also signaled low preferences for EVs. The purchase price, charging stations, and limited supply are the candid explanations for why EVs are not a priority in the respondents’ choice of cars. To bolster peoples’ taste toward EVs, the study, therefore, concludes that government authorities and city planners should popularize incentives among the people in underserved communities.展开更多
Objective To explore critical care clinicians’knowledge,attitudes and perceptions toward early mobilization of critically ill patients in ICUs.Design A cross-sectional national survey was conducted.From January to Au...Objective To explore critical care clinicians’knowledge,attitudes and perceptions toward early mobilization of critically ill patients in ICUs.Design A cross-sectional national survey was conducted.From January to August 2020,ICU nurses in 11 hospitals were surveyed by using a questionnaire on the knowledge,attitudes and perceptions of ICU early mobilization.Results Totally 512 nurses completed the questionnaire.The respondents’mean score for knowledge of early mobilization was 6.89±2.91.The level of knowledge was good in 2.5%(13/512),fair in 52.3%(268/512).The attitudes toward early mobilization were positive in 31.4%(161/512).In terms of perceived implementation of ICU early mobilization,42.9%(220/512)of nurses did not believe that this should be a top priority in intensive care.The attitudes of nurses from different ICUs were significantly different(F=3.58,P<0.05).The knowledge(7.34±2.78 vs.6.49±2.97,t=3.37,P<0.001)and attitudes(3.82±0.58 vs.3.52±0.56,t=5.63,P<0.001)of nurses who had early mobilization related training were higher than those of nurses who had no training.Conclusions The importance of early ICU early mobilization is increasingly recognized by critical care providers.However,there is still a gap in the knowledge,attitudes and perceptions of ICU early mobilization among nurses.In future studies,it is necessary to further systematically identify the reasons leading to the gaps in these aspects and implement targeted interventions around these gaps.Meanwhile,more nurses should be encouraged to participate in decision-making to ensure the efficient and quality implementation of ICU early mobilization practices.展开更多
By using the dynamic characteristic of one direction S-rough sets（one direction singular rough sets） and dual of one direction S-rough sets（dual of one direction singular rough sets）, the concepts of attribute dis...By using the dynamic characteristic of one direction S-rough sets（one direction singular rough sets） and dual of one direction S-rough sets（dual of one direction singular rough sets）, the concepts of attribute disturbance of knowledge, the attribute disturbance degree of knowledge, and the disturbance coefficient of knowledge are given. By employing these concepts, the cardinal order theorem of the attribute disturbance knowledge, the unit circle theorem of the attribute disturbance knowledge, and the discernible theorem of the attribute disturbance knowledge are presented.展开更多
To equip data-driven dynamic chemical process models with strong interpretability,we develop a light attention–convolution–gate recurrent unit(LACG)architecture with three sub-modules—a basic module,a brand-new lig...To equip data-driven dynamic chemical process models with strong interpretability,we develop a light attention–convolution–gate recurrent unit(LACG)architecture with three sub-modules—a basic module,a brand-new light attention module,and a residue module—that are specially designed to learn the general dynamic behavior,transient disturbances,and other input factors of chemical processes,respectively.Combined with a hyperparameter optimization framework,Optuna,the effectiveness of the proposed LACG is tested by distributed control system data-driven modeling experiments on the discharge flowrate of an actual deethanization process.The LACG model provides significant advantages in prediction accuracy and model generalization compared with other models,including the feedforward neural network,convolution neural network,long short-term memory(LSTM),and attention-LSTM.Moreover,compared with the simulation results of a deethanization model built using Aspen Plus Dynamics V12.1,the LACG parameters are demonstrated to be interpretable,and more details on the variable interactions can be observed from the model parameters in comparison with the traditional interpretable model attention-LSTM.This contribution enriches interpretable machine learning knowledge and provides a reliable method with high accuracy for actual chemical process modeling,paving a route to intelligent manufacturing.展开更多
Premature infant is an infant who was born before the end of 37th weeks of pregnancy. Approximately 9.6% of infants are premature and they can be at risk for hospitalization. This study has done for evaluation of awar...Premature infant is an infant who was born before the end of 37th weeks of pregnancy. Approximately 9.6% of infants are premature and they can be at risk for hospitalization. This study has done for evaluation of awareness and knowledge of parents about problems of premature infants in Neonatal Intensive Care Unit (NICU). This was a descriptive study with 160 parents whose premature infants were admitted to NICU (Tehran-Iran, 2009-2011). Data were collected by a questionnaire for evaluation of awareness and knowledge of parents about problems of prematurity, and then analyzed by using descriptive analytic statistical methods and SPSS software. Based on the results, there was a significant relation between age and the total score of questionnaire (P = 0.022, R = 0.18). Mothers had higher awareness and knowledge than fathers (P < 0.05). The most awareness in parents was about doing of hygienic principle when they entered to NICU and about the importance of regularly and continuous attendance in ward. Awareness and knowledge of parents about problems of their premature infant were related to their age and being a mother or father. Parents had little knowledge about some NICU principles and premature infant’s needs and care.展开更多
Firstly data standardization technology and combined classification method have been applied to carry out classification of kinematic behaviors and mechanisms in the mapping field between the kinematic behavior level ...Firstly data standardization technology and combined classification method have been applied to carry out classification of kinematic behaviors and mechanisms in the mapping field between the kinematic behavior level and the mechanism level of conceptual design.The principle of computer coding and storing have been built to give a fast and broad selection of mechanisms that meets the requirements of basic motion characters.Then on the basis of mentioned above,the heuristic matching propagation principle (HMPP) of kinematic behaviors and its true table serves as a guide to perform mechanism types selection.Finally an application is given to indicate its practicability and effectiveness.展开更多
Paleobiogeography investigates geographical distributions of fossil organisms and controlling factors that affect their distributions in geological history,to reveal the macro-evolution and coordinated development of ...Paleobiogeography investigates geographical distributions of fossil organisms and controlling factors that affect their distributions in geological history,to reveal the macro-evolution and coordinated development of life and the environment.It is a crucial window for understanding the biosphere and the geographical environment.After two centuries of development,paleobiogeographic studies have led to the accumulation of significant amounts of knowledge and data;however,the voluminous outputs present the characteristics of an“isolated island”with a scattered,limited number of authoritative definitions of terminologies and semantic heterogeneity among them.This makes data queries cumbersome,the rate of data reuse low,and data sharing more difficult.A knowledge graph(KG)has the advantage of expressing concepts and their semantic relations,which is an important tool for achieving data organization and fusion,and data mining;further,it is also a key technology for realizing the unrestricted sharing of paleobiogeographic information.Through our efforts over the past two years,a paleobiogeographic KG was developed based on the established construction procedure of the KG,which contains 273 concepts,172 properties,and 47 rules.Meanwhile,the completion of this KG and the construction of a paleobiogeographic platform for display and analysis are now being carried out.展开更多
Resources are the base and core of education information, but current web education resources have no structure and it is still difficult to reuse them and make them can be self assembled and developed continually. Ac...Resources are the base and core of education information, but current web education resources have no structure and it is still difficult to reuse them and make them can be self assembled and developed continually. According to the knowledge structure of course and text, the relation among knowledge points, knowledge units from three levels of media material, we can build education resource components, and build TKCM （Teaching Knowledge Combination Model） based on resource components. Builders can build and assemble knowledge system structure and make knowledge units can be self assembled, thus we can develop and consummate them continually. Users can make knowledge units can be self assembled and renewed, and build education knowledge system to satisfy users＇ demand under the form of education knowledge system.展开更多
Purpose:This paper aims to address the limitations in existing research on the evolution of knowledge flow networks by proposing a meso-level institutional field knowledge flow network evolution model(IKM).The purpose...Purpose:This paper aims to address the limitations in existing research on the evolution of knowledge flow networks by proposing a meso-level institutional field knowledge flow network evolution model(IKM).The purpose is to simulate the construction process of a knowledge flow network using knowledge organizations as units and to investigate its effectiveness in replicating institutional field knowledge flow networks.Design/Methodology/Approach:The IKM model enhances the preferential attachment and growth observed in scale-free BA networks,while incorporating three adjustment parameters to simulate the selection of connection targets and the types of nodes involved in the network evolution process Using the PageRank algorithm to calculate the significance of nodes within the knowledge flow network.To compare its performance,the BA and DMS models are also employed for simulating the network.Pearson coefficient analysis is conducted on the simulated networks generated by the IKM,BA and DMS models,as well as on the actual network.Findings:The research findings demonstrate that the IKM model outperforms the BA and DMS models in replicating the institutional field knowledge flow network.It provides comprehensive insights into the evolution mechanism of knowledge flow networks in the scientific research realm.The model also exhibits potential applicability to other knowledge networks that involve knowledge organizations as node units.Research Limitations:This study has some limitations.Firstly,it primarily focuses on the evolution of knowledge flow networks within the field of physics,neglecting other fields.Additionally,the analysis is based on a specific set of data,which may limit the generalizability of the findings.Future research could address these limitations by exploring knowledge flow networks in diverse fields and utilizing broader datasets.Practical Implications:The proposed IKM model offers practical implications for the construction and analysis of knowledge flow networks within institutions.It provides a valuable tool for understanding and managing knowledge exchange between knowledge organizations.The model can aid in optimizing knowledge flow and enhancing collaboration within organizations.Originality/value:This research highlights the significance of meso-level studies in understanding knowledge organization and its impact on knowledge flow networks.The IKM model demonstrates its effectiveness in replicating institutional field knowledge flow networks and offers practical implications for knowledge management in institutions.Moreover,the model has the potential to be applied to other knowledge networks,which are formed by knowledge organizations as node units.展开更多
Nowadays, knowledge in Public Sector environment becomes very vast and increasing day by day at speedy pace. So, to handle and manage the knowledge becomes a tedious job, resulting into degrading the overall affectivi...Nowadays, knowledge in Public Sector environment becomes very vast and increasing day by day at speedy pace. So, to handle and manage the knowledge becomes a tedious job, resulting into degrading the overall affectivity and productivity of the system. Hence, the need of effective architecture arises, which can increase the performance of disseminating knowledge in public sector. This results the implementation of knowledge management (KM) using Multi Agents (MA). Using Multi Agents reduces the time overhead for serving relevant knowledge to end users. The objective of this paper is to propose KM architecture using MA which will be helpful and effective in circulating knowledge to public sectors in a much better and easier manner, due to which it enhances the productivity and performance. The paper firstly, gives the understanding of literature on various knowledge management frameworks and tools for implementing Multi Agents. Then it proposes a MA enterprise knowledge management architecture (MAEKM), stating that how knowledge circulation will be done. At the end, using JADE framework, paper implements MAEKM architecture for public sector. The paper describes the necessity of implementing this architecture and its usefulness in disseminating knowledge in public sectors.展开更多
In the new information environment,the way of knowledge organization based on documents cannot meet the users’knowledge needs.In order to achieve fine-grained semantic knowledge organization and refined knowledge ser...In the new information environment,the way of knowledge organization based on documents cannot meet the users’knowledge needs.In order to achieve fine-grained semantic knowledge organization and refined knowledge service.展开更多
Purpose:This paper presents a new semi-automatic methodology for identifying inter-actor relationships by discerning viewpoints in non-social,political textual corpora.Although previous research has successfully disce...Purpose:This paper presents a new semi-automatic methodology for identifying inter-actor relationships by discerning viewpoints in non-social,political textual corpora.Although previous research has successfully discerned viewpoints,biases,and affiliations based on textual features,the task of relationship analysis in the absence of interactional data remains unaddressed.Design/methodology/approach:We introduce a new paradigm for topic representation as a dynamic,continuous,multi-viewpoint spectrum based on the representation of viewpoints as vectors that capture common topical themes.As a proof of concept,we applied this paradigm to scrutinize the inter-state relationships reflected in the speeches of the UN General Assembly Debate Corpus(UNGDC).Findings:The proposed paradigm effectively identifies discursive trends in UNGDC.Our analysis reveals common attitudes towards the topic and their prominence among different groups of actors and facilitates the analysis of relationships between actors through a quantitative representation of viewpoint similarity.The method also successfully captured temporal shifts in viewpoints and overall discourse trends,correlating with major geopolitical events.Research limitations:One limitation of this study is the method’s sensitivity to data sparsity,which can skew viewpoint representations in cases of low topic involvement.Practical implications:The proposed paradigm can be utilized by scholars in political science and other domains as a tool for semi-automated unsupervised textual analysis of various non-social textual sources,enabling the discovery of latent relationships between actors and the modeling of viewpoints in complex topics.Originality/value:This study presents a novel framework for unsupervised semi-automatic textual analysis of relationships in non-social corpora through a new approach for the representation of viewpoints as thematic vectors.展开更多
The history of library communication between China and the United States in the Republic of China period is an important topic for understanding the origin of China’s librarianship and Library Science.
文摘The aim of this study was to describe the intensive care unit (ICU) nurses’ knowledge, attitude, and practice of mouth care for their patients. This is a cross sectional hospital based study. A total of 154 ICU nurses were randomly selected from seven governmental hospitals in Khartoum state and were invited to take part in this study. 97.4% of ICU nurses had high knowledge of the importance of mouth care for ICU patients and similarly for the priority of mouth care. However, only 20% of nurses were found to apply good practice. 64.5% of the nurses received training in mouth care provision, and (81%) indicated that further training would be beneficial. The oral care practice of ICU nurses ranged between average among 57% and poor among 23%. The study highlighted the need for setting of ICU protocols and adoption of advanced training for ICU nurses.
文摘Background: Preterm labor is one of the most public health problems related to neonates admitted to Neonatal Intensive Care Unit (NICU). Poor knowledge among mothers about the care requirements of a preterm neonate is immediate cause for post-discharge medical problems in premature and neonates readmission to NICU. Hence, this study aims to evaluate mothers’ knowledge of caring for premature infants post-discharge from Neonatal Intensive Care Units in the Gaza strip. Methods: A Quantitative-based cross-sectional designs study was used to survey 120 mothers of preterm neonates at the time of preterm neonates discharge by face-to-face interview at Al-Shifa medical complex and Nasser hospital between February and June 2018. Results: The results showed that only about 58.4% of mothers of premature babies had good knowledge about health care needed for premature infants after discharge from NICU. Furthermore, there was no statistically significant difference between the level of knowledge and mother’s sociodemographic characteristics (P-values > 0.05). Conclusion: Mothers’ knowledge of premature infants care was not at the optimal level, which might put the newborns at risk. Therefore, the study emphasizes the necessity of thoughtful exchange of health information between team members and mothers and establishing pre- and post-discharge plans with mothers to start their healthy transition of preterm neonate to home and to ameliorate family concerns.
文摘The importance of prerequisites for education has recently become a promising research direction.This work proposes a statistical model for measuring dependencies in learning resources between knowledge units.Instructors are expected to present knowledge units in a semantically well-organized manner to facilitate students’understanding of the material.The proposed model reveals how inner concepts of a knowledge unit are dependent on each other and on concepts not in the knowledge unit.To help understand the complexity of the inner concepts themselves,WordNet is included as an external knowledge base in thismodel.The goal is to develop a model that will enable instructors to evaluate whether or not a learning regime has hidden relationships which might hinder students’ability to understand the material.The evaluation,employing three textbooks,shows that the proposed model succeeds in discovering hidden relationships among knowledge units in learning resources and in exposing the knowledge gaps in some knowledge units.
文摘The major offshoot of innovation of electric vehicles (EVs) is sustainability. Given the prevailing challenges of carbon emissions from automobiles and the consequent effects on climate change, the introduction of EVs is timely to serve as an effective mechanism for reversing global warming. However, knowledge of EVs is not well distributed among the general population. This study is therefore aimed to analyze the familiarity of Americans with the basic features of EVs. One hundred respondents were selected from two underserved communities in Huntsville, Alabama, using a simple sampling technique. Nonetheless, only 71 residents returned the filled questionnaires. Data were analyzed using frequency counts and descriptive statistics. Findings revealed that the respondents were generally aware of EVs, but EVs are not yet common on their roads. The respondents also signaled low preferences for EVs. The purchase price, charging stations, and limited supply are the candid explanations for why EVs are not a priority in the respondents’ choice of cars. To bolster peoples’ taste toward EVs, the study, therefore, concludes that government authorities and city planners should popularize incentives among the people in underserved communities.
基金This project is supported by the Fundamental Research Funds for the Central Universities(Project number:3332019171).
文摘Objective To explore critical care clinicians’knowledge,attitudes and perceptions toward early mobilization of critically ill patients in ICUs.Design A cross-sectional national survey was conducted.From January to August 2020,ICU nurses in 11 hospitals were surveyed by using a questionnaire on the knowledge,attitudes and perceptions of ICU early mobilization.Results Totally 512 nurses completed the questionnaire.The respondents’mean score for knowledge of early mobilization was 6.89±2.91.The level of knowledge was good in 2.5%(13/512),fair in 52.3%(268/512).The attitudes toward early mobilization were positive in 31.4%(161/512).In terms of perceived implementation of ICU early mobilization,42.9%(220/512)of nurses did not believe that this should be a top priority in intensive care.The attitudes of nurses from different ICUs were significantly different(F=3.58,P<0.05).The knowledge(7.34±2.78 vs.6.49±2.97,t=3.37,P<0.001)and attitudes(3.82±0.58 vs.3.52±0.56,t=5.63,P<0.001)of nurses who had early mobilization related training were higher than those of nurses who had no training.Conclusions The importance of early ICU early mobilization is increasingly recognized by critical care providers.However,there is still a gap in the knowledge,attitudes and perceptions of ICU early mobilization among nurses.In future studies,it is necessary to further systematically identify the reasons leading to the gaps in these aspects and implement targeted interventions around these gaps.Meanwhile,more nurses should be encouraged to participate in decision-making to ensure the efficient and quality implementation of ICU early mobilization practices.
基金Foundation item： Supported by the Nature Science Foundation of Shandong Province（Y2007H02）
文摘By using the dynamic characteristic of one direction S-rough sets（one direction singular rough sets） and dual of one direction S-rough sets（dual of one direction singular rough sets）, the concepts of attribute disturbance of knowledge, the attribute disturbance degree of knowledge, and the disturbance coefficient of knowledge are given. By employing these concepts, the cardinal order theorem of the attribute disturbance knowledge, the unit circle theorem of the attribute disturbance knowledge, and the discernible theorem of the attribute disturbance knowledge are presented.
基金support provided by the National Natural Science Foundation of China(22122802,22278044,and 21878028)the Chongqing Science Fund for Distinguished Young Scholars(CSTB2022NSCQ-JQX0021)the Fundamental Research Funds for the Central Universities(2022CDJXY-003).
文摘To equip data-driven dynamic chemical process models with strong interpretability,we develop a light attention–convolution–gate recurrent unit(LACG)architecture with three sub-modules—a basic module,a brand-new light attention module,and a residue module—that are specially designed to learn the general dynamic behavior,transient disturbances,and other input factors of chemical processes,respectively.Combined with a hyperparameter optimization framework,Optuna,the effectiveness of the proposed LACG is tested by distributed control system data-driven modeling experiments on the discharge flowrate of an actual deethanization process.The LACG model provides significant advantages in prediction accuracy and model generalization compared with other models,including the feedforward neural network,convolution neural network,long short-term memory(LSTM),and attention-LSTM.Moreover,compared with the simulation results of a deethanization model built using Aspen Plus Dynamics V12.1,the LACG parameters are demonstrated to be interpretable,and more details on the variable interactions can be observed from the model parameters in comparison with the traditional interpretable model attention-LSTM.This contribution enriches interpretable machine learning knowledge and provides a reliable method with high accuracy for actual chemical process modeling,paving a route to intelligent manufacturing.
文摘Premature infant is an infant who was born before the end of 37th weeks of pregnancy. Approximately 9.6% of infants are premature and they can be at risk for hospitalization. This study has done for evaluation of awareness and knowledge of parents about problems of premature infants in Neonatal Intensive Care Unit (NICU). This was a descriptive study with 160 parents whose premature infants were admitted to NICU (Tehran-Iran, 2009-2011). Data were collected by a questionnaire for evaluation of awareness and knowledge of parents about problems of prematurity, and then analyzed by using descriptive analytic statistical methods and SPSS software. Based on the results, there was a significant relation between age and the total score of questionnaire (P = 0.022, R = 0.18). Mothers had higher awareness and knowledge than fathers (P < 0.05). The most awareness in parents was about doing of hygienic principle when they entered to NICU and about the importance of regularly and continuous attendance in ward. Awareness and knowledge of parents about problems of their premature infant were related to their age and being a mother or father. Parents had little knowledge about some NICU principles and premature infant’s needs and care.
基金Sponsored by the Chinese National Foundation of Science Na 59875058.
文摘Firstly data standardization technology and combined classification method have been applied to carry out classification of kinematic behaviors and mechanisms in the mapping field between the kinematic behavior level and the mechanism level of conceptual design.The principle of computer coding and storing have been built to give a fast and broad selection of mechanisms that meets the requirements of basic motion characters.Then on the basis of mentioned above,the heuristic matching propagation principle (HMPP) of kinematic behaviors and its true table serves as a guide to perform mechanism types selection.Finally an application is given to indicate its practicability and effectiveness.
基金supported by the National Natural Science Foundation of China(Nos.42172174,41802017,42250104)the National Key R&D Program of China(No.2018YFE0204201)the Fundamental Research Funds for the Central Universities(No.0206-14380168)。
文摘Paleobiogeography investigates geographical distributions of fossil organisms and controlling factors that affect their distributions in geological history,to reveal the macro-evolution and coordinated development of life and the environment.It is a crucial window for understanding the biosphere and the geographical environment.After two centuries of development,paleobiogeographic studies have led to the accumulation of significant amounts of knowledge and data;however,the voluminous outputs present the characteristics of an“isolated island”with a scattered,limited number of authoritative definitions of terminologies and semantic heterogeneity among them.This makes data queries cumbersome,the rate of data reuse low,and data sharing more difficult.A knowledge graph(KG)has the advantage of expressing concepts and their semantic relations,which is an important tool for achieving data organization and fusion,and data mining;further,it is also a key technology for realizing the unrestricted sharing of paleobiogeographic information.Through our efforts over the past two years,a paleobiogeographic KG was developed based on the established construction procedure of the KG,which contains 273 concepts,172 properties,and 47 rules.Meanwhile,the completion of this KG and the construction of a paleobiogeographic platform for display and analysis are now being carried out.
基金Supported by the National High Technology Research and Development Program of China (863 Program) (2002AA111010 2003AA001032)
文摘Resources are the base and core of education information, but current web education resources have no structure and it is still difficult to reuse them and make them can be self assembled and developed continually. According to the knowledge structure of course and text, the relation among knowledge points, knowledge units from three levels of media material, we can build education resource components, and build TKCM （Teaching Knowledge Combination Model） based on resource components. Builders can build and assemble knowledge system structure and make knowledge units can be self assembled, thus we can develop and consummate them continually. Users can make knowledge units can be self assembled and renewed, and build education knowledge system to satisfy users＇ demand under the form of education knowledge system.
基金supported in part by the National Natural Science Foundation of China under Grant 72264036in part by the West Light Foundation of The Chinese Academy of Sciences under Grant 2020-XBQNXZ-020+1 种基金Social Science Foundation of Xinjiang under Grant 2023BGL077the Research Program for High-level Talent Program of Xinjiang University of Finance and Economics 2022XGC041,2022XGC042.
文摘Purpose:This paper aims to address the limitations in existing research on the evolution of knowledge flow networks by proposing a meso-level institutional field knowledge flow network evolution model(IKM).The purpose is to simulate the construction process of a knowledge flow network using knowledge organizations as units and to investigate its effectiveness in replicating institutional field knowledge flow networks.Design/Methodology/Approach:The IKM model enhances the preferential attachment and growth observed in scale-free BA networks,while incorporating three adjustment parameters to simulate the selection of connection targets and the types of nodes involved in the network evolution process Using the PageRank algorithm to calculate the significance of nodes within the knowledge flow network.To compare its performance,the BA and DMS models are also employed for simulating the network.Pearson coefficient analysis is conducted on the simulated networks generated by the IKM,BA and DMS models,as well as on the actual network.Findings:The research findings demonstrate that the IKM model outperforms the BA and DMS models in replicating the institutional field knowledge flow network.It provides comprehensive insights into the evolution mechanism of knowledge flow networks in the scientific research realm.The model also exhibits potential applicability to other knowledge networks that involve knowledge organizations as node units.Research Limitations:This study has some limitations.Firstly,it primarily focuses on the evolution of knowledge flow networks within the field of physics,neglecting other fields.Additionally,the analysis is based on a specific set of data,which may limit the generalizability of the findings.Future research could address these limitations by exploring knowledge flow networks in diverse fields and utilizing broader datasets.Practical Implications:The proposed IKM model offers practical implications for the construction and analysis of knowledge flow networks within institutions.It provides a valuable tool for understanding and managing knowledge exchange between knowledge organizations.The model can aid in optimizing knowledge flow and enhancing collaboration within organizations.Originality/value:This research highlights the significance of meso-level studies in understanding knowledge organization and its impact on knowledge flow networks.The IKM model demonstrates its effectiveness in replicating institutional field knowledge flow networks and offers practical implications for knowledge management in institutions.Moreover,the model has the potential to be applied to other knowledge networks,which are formed by knowledge organizations as node units.
文摘Nowadays, knowledge in Public Sector environment becomes very vast and increasing day by day at speedy pace. So, to handle and manage the knowledge becomes a tedious job, resulting into degrading the overall affectivity and productivity of the system. Hence, the need of effective architecture arises, which can increase the performance of disseminating knowledge in public sector. This results the implementation of knowledge management (KM) using Multi Agents (MA). Using Multi Agents reduces the time overhead for serving relevant knowledge to end users. The objective of this paper is to propose KM architecture using MA which will be helpful and effective in circulating knowledge to public sectors in a much better and easier manner, due to which it enhances the productivity and performance. The paper firstly, gives the understanding of literature on various knowledge management frameworks and tools for implementing Multi Agents. Then it proposes a MA enterprise knowledge management architecture (MAEKM), stating that how knowledge circulation will be done. At the end, using JADE framework, paper implements MAEKM architecture for public sector. The paper describes the necessity of implementing this architecture and its usefulness in disseminating knowledge in public sectors.
文摘In the new information environment,the way of knowledge organization based on documents cannot meet the users’knowledge needs.In order to achieve fine-grained semantic knowledge organization and refined knowledge service.
基金part of the research project “What Are States Talking About?”(ISF Grant 2109/19),funded by the Israeli Science Foundation。
文摘Purpose:This paper presents a new semi-automatic methodology for identifying inter-actor relationships by discerning viewpoints in non-social,political textual corpora.Although previous research has successfully discerned viewpoints,biases,and affiliations based on textual features,the task of relationship analysis in the absence of interactional data remains unaddressed.Design/methodology/approach:We introduce a new paradigm for topic representation as a dynamic,continuous,multi-viewpoint spectrum based on the representation of viewpoints as vectors that capture common topical themes.As a proof of concept,we applied this paradigm to scrutinize the inter-state relationships reflected in the speeches of the UN General Assembly Debate Corpus(UNGDC).Findings:The proposed paradigm effectively identifies discursive trends in UNGDC.Our analysis reveals common attitudes towards the topic and their prominence among different groups of actors and facilitates the analysis of relationships between actors through a quantitative representation of viewpoint similarity.The method also successfully captured temporal shifts in viewpoints and overall discourse trends,correlating with major geopolitical events.Research limitations:One limitation of this study is the method’s sensitivity to data sparsity,which can skew viewpoint representations in cases of low topic involvement.Practical implications:The proposed paradigm can be utilized by scholars in political science and other domains as a tool for semi-automated unsupervised textual analysis of various non-social textual sources,enabling the discovery of latent relationships between actors and the modeling of viewpoints in complex topics.Originality/value:This study presents a novel framework for unsupervised semi-automatic textual analysis of relationships in non-social corpora through a new approach for the representation of viewpoints as thematic vectors.
文摘The history of library communication between China and the United States in the Republic of China period is an important topic for understanding the origin of China’s librarianship and Library Science.
