Accurate localization of cranial nerves and responsible blood vessels is important for diagnosing trigeminal neuralgia(TN)and hemifacial spasm(HFS).Manual delineation of the nerves and vessels on medical images is tim...Accurate localization of cranial nerves and responsible blood vessels is important for diagnosing trigeminal neuralgia(TN)and hemifacial spasm(HFS).Manual delineation of the nerves and vessels on medical images is time-consuming and labor-intensive.Due to the development of convolutional neural networks(CNNs),the performance of medical image segmentation has been improved.In this work,we investigate the plans for automated segmentation of cranial nerves and responsible vessels for TN and HFS,which has not been comprehensively studied before.Different inputs are given to the CNN to find the best training configuration of segmenting trigeminal nerves,facial nerves,responsible vessels and brainstem,including the image modality and the number of segmentation targets.According to multiple experiments with seven training plans,we suggest training with the combination of three-dimensional fast imaging employing steady-state acquisition(3D-FIESTA)and three-dimensional time-of-flight magnetic resonance angiography(3DTOF-MRA),and separate segmentation of cranial nerves and vessels.展开更多
The model of“post-course competition certificate”can be the basic model of Building Information Modeling(BIM)course teaching in vocational colleges in the new era,and many vocational colleges have also made attempts...The model of“post-course competition certificate”can be the basic model of Building Information Modeling(BIM)course teaching in vocational colleges in the new era,and many vocational colleges have also made attempts to construct and apply this model in BIM courses and other professional courses.Based on the application of methods such as literature review and observation,it can be found that it is highly feasible in theory and practice to promote the innovation and reform of BIM curriculum based on this model.However,there are more influencing factors at the practical level,which can easily lead to some problems.In this paper,we will analyze the corresponding problems and put forward a more effective reform strategy of BIM course education innovation in combination with reality.展开更多
In this paper,the intelligent construction of prefabricated components is analyzed based on building information modeling(BIM).It includes an overview of BIM-based prefabricated components and intelligent construction...In this paper,the intelligent construction of prefabricated components is analyzed based on building information modeling(BIM).It includes an overview of BIM-based prefabricated components and intelligent construction,intelligent production lines in BIM-based intelligent construction systems,and analysis of the application of intelligent manufacturing in BIM-based prefabricated components.It was found that the determination of construction goals,the establishment of intelligent construction systems,and the application of intelligent construction systems are all areas that need to be emphasized in producing prefabricated building components through intelligent construction.It is hoped that this analysis can provide some reference for the application of intelligent construction and the improvement of the quality of prefabricated building components.展开更多
Cultivating application-oriented talents have become essential in vocational and higher education.This concept also applies to BIM intelligent construction programs.Based on literature review and general observations,...Cultivating application-oriented talents have become essential in vocational and higher education.This concept also applies to BIM intelligent construction programs.Based on literature review and general observations,we analyzed the connotation,key points,and value of developing a BIM intelligent construction program based on application-oriented talent cultivation.We also identified problems in the development of the program such as lack of comprehensive planning and the school being the sole authority in program development.Therefore,we proposed several strategies to address these problems,including systematic program development planning and fostering a multi-faceted partnership between schools and the industry.The goal is to provide valuable insights for the development of relevant programs in the new era.展开更多
Massive open online courses(MOOC)have recently gained worldwide attention in the field of education.The manner of MOOC provides a new option for learning various kinds of knowledge.A mass of data miming algorithms hav...Massive open online courses(MOOC)have recently gained worldwide attention in the field of education.The manner of MOOC provides a new option for learning various kinds of knowledge.A mass of data miming algorithms have been proposed to analyze the learner’s characteristics and classify the learners into different groups.However,most current algorithms mainly focus on the final grade of the learners,which may result in an improper classification.To overcome the shortages of the existing algorithms,a novel multi-feature weighting based K-means(MFWK-means)algorithm is proposed in this paper.Correlations between the widely used feature grade and other features are first investigated,and then the learners are classified based on their grades and weighted features with the proposed MFWK-means algorithm.Experimental results with the Canvas Network Person-Course(CNPC)dataset demonstrate the effectiveness of our method.Moreover,a comparison between the new MFWK-means and the traditional K-means clustering algorithm is implemented to show the superiority of the proposed method.展开更多
Massive Open Online Course(MOOC)has become a popular way of online learning used across the world by millions of people.Meanwhile,a vast amount of information has been collected from the MOOC learners and institutions...Massive Open Online Course(MOOC)has become a popular way of online learning used across the world by millions of people.Meanwhile,a vast amount of information has been collected from the MOOC learners and institutions.Based on the educational data,a lot of researches have been investigated for the prediction of the MOOC learner’s final grade.However,there are still two problems in this research field.The first problem is how to select the most proper features to improve the prediction accuracy,and the second problem is how to use or modify the data mining algorithms for a better analysis of the MOOC data.In order to solve these two problems,an improved random forests method is proposed in this paper.First,a hybrid indicator is defined to measure the importance of the features,and a rule is further established for the feature selection;then,a Clustering-Synthetic Minority Over-sampling Technique(SMOTE)is embedded into the traditional random forests algorithm to solve the class imbalance problem.In experiment part,we verify the performance of the proposed method by using the Canvas Network Person-Course(CNPC)dataset.Furthermore,four well-known prediction methods have been applied for comparison,where the superiority of our method has been proved.展开更多
Curriculum ideology and politics is an effective method to reform innovation and entrepreneurship education in the new era.Students in higher education institutions have high expectations and recognition of the integr...Curriculum ideology and politics is an effective method to reform innovation and entrepreneurship education in the new era.Students in higher education institutions have high expectations and recognition of the integration of innovation and entrepreneurship education with civics education.However,currently,the phenomena of poor integration,mechanical application,and confusion between innovation and entrepreneurship education and civics education exist.This paper reconstructs the curriculum standards of innovation and entrepreneurship education from the perspective of curriculum ideology and politics,deeply integrates ideological and political elements into teaching objectives,design,and evaluation,reshapes teaching modules,improves teaching methods,and perfects the multiple evaluation and assessment system,so as to enhance the innovation spirit,creative consciousness,and entrepreneurial ability of higher vocational students.展开更多
The QRS-T angle,as an index of noninvasive cardioelectric vector,is closely related to the change of heart structure and function.There are different methedologies to measure the QRS-T angle,which can be roughly divid...The QRS-T angle,as an index of noninvasive cardioelectric vector,is closely related to the change of heart structure and function.There are different methedologies to measure the QRS-T angle,which can be roughly dividedinto two types:plane angle and space angle.Studies show that the influence factors include two aspects of physiology and pathology of the angle,in pathological ways,the disease such as myocardial hypertrophy,myocardial ischemia,hypertension,ventricular arrhythmia has larger clinical significance.In recent years,the research on the risk stratification of the QRS-T angle on sudden death has made great progress,but there are still some disputes about whether the space angle can be replaced by the plane angle and the range of normal value and so on.展开更多
Building information modeling(BIM)course is a subject course integrating project management course and BIM Technology.BIM-based engineering project teaching is different from traditional engineering project management...Building information modeling(BIM)course is a subject course integrating project management course and BIM Technology.BIM-based engineering project teaching is different from traditional engineering project management.It has many advantages such as information creation,information management,digital management of information sharing,and so on,which improves the integration of project management as a whole.Therefore,it is crucial to improve the curriculum system of colleges and universities by setting up BIM courses,and to integrate BIM knowledge into the curriculum system.Setting up BIM courses and integrating BIM knowledge into the curriculum system have also been the highlight for colleges and universities.The engineering management major of the university is combined with the BIM curriculum system to adjust the relevant talent training plan.Foreign countries have gradually integrated BIM technology into the classroom teaching system,and domestic curriculum teaching is undergoing a reform and is under development.Through a systematic link between theory and practical education,a targeted,accurate,and efficient characteristic curriculum system for engineering management specialty has been developed.展开更多
Identification of significant biological relationships or patterns is central to many metagenomic studies.Methods that estimate association networks have been proposed for this purpose;however,they assume that associa...Identification of significant biological relationships or patterns is central to many metagenomic studies.Methods that estimate association networks have been proposed for this purpose;however,they assume that associations are static,neglecting the fact that relationships in a microbial ecosystem may vary with changes in environmental factors(EFs),which can result in inaccurate estimations.Therefore,in this study,we propose a computational model,called the k-Lognormal-Dirichlet-Multinomial(kLDM)model,which estimates multiple association networks that correspond to specific environmental conditions,and simultaneously infers microbe-microbe and EF-microbe associations for each network.The effectiveness of the kLDM model was demonstrated on synthetic data,a colorectal cancer(CRC)dataset,the Tara Oceans dataset,and the American Gut Project dataset.The results revealed that the widely-used Spearman’s rank correlation coefficient method performed much worse than the other methods,indicating the importance of separating samples by environmental conditions.Cancer fecal samples were then compared with cancer-free samples,and the estimation achieved by kLDM exhibited fewer associations among microbes but stronger associations between specific bacteria,especially five CRC-associated operational taxonomic units,indicating gut microbe translocation in cancer patients.Some EF-dependent associations were then found within a marine eukaryotic community.Finally,the gut microbial heterogeneity of inflammatory bowel disease patients was detected.These results demonstrate that kLDM can elucidate the complex associations within microbial ecosystems.The kLDM program,R,and Python scripts,together with all experimental datasets,are accessible at https://github.com/tinglab/kLDM.git.展开更多
The integrated strap-down inertial nav igation system/olelestial navigation system(SINS/CNS)i an important autonomous navigation method with efective concealment and high predision.Both accelerometer biss and star ens...The integrated strap-down inertial nav igation system/olelestial navigation system(SINS/CNS)i an important autonomous navigation method with efective concealment and high predision.Both accelerometer biss and star ensor installation error ame important factors that aflect the performanoe of this mavigation system,which needl to be calibratexd and compensatedl.A new acelerometer bias and star sensor installation error joint calibration method for the SINS/CNS integrated navigation system i propoeed.In this newly propoeed method,the installation error of star sensor is augmented to the state vector,and the star vector,nadir angle,horkzontal poeition error and velbcity error ame ueed a8 measurementa to calbrate the two errors mentioned above.Simulations show that both accelerometer bias and star sensor installation enror an be calibratedl efectively.展开更多
文摘Accurate localization of cranial nerves and responsible blood vessels is important for diagnosing trigeminal neuralgia(TN)and hemifacial spasm(HFS).Manual delineation of the nerves and vessels on medical images is time-consuming and labor-intensive.Due to the development of convolutional neural networks(CNNs),the performance of medical image segmentation has been improved.In this work,we investigate the plans for automated segmentation of cranial nerves and responsible vessels for TN and HFS,which has not been comprehensively studied before.Different inputs are given to the CNN to find the best training configuration of segmenting trigeminal nerves,facial nerves,responsible vessels and brainstem,including the image modality and the number of segmentation targets.According to multiple experiments with seven training plans,we suggest training with the combination of three-dimensional fast imaging employing steady-state acquisition(3D-FIESTA)and three-dimensional time-of-flight magnetic resonance angiography(3DTOF-MRA),and separate segmentation of cranial nerves and vessels.
基金Chongqing Municipal Education Science Planning Project+Educational Reform Special Project+Practice Research on Integrated Teaching Reform of“Post-Course Competition Certificate”for BIM Intelligent Construction Major in Vocational Schools(Project number:K23ZG3250169)。
文摘The model of“post-course competition certificate”can be the basic model of Building Information Modeling(BIM)course teaching in vocational colleges in the new era,and many vocational colleges have also made attempts to construct and apply this model in BIM courses and other professional courses.Based on the application of methods such as literature review and observation,it can be found that it is highly feasible in theory and practice to promote the innovation and reform of BIM curriculum based on this model.However,there are more influencing factors at the practical level,which can easily lead to some problems.In this paper,we will analyze the corresponding problems and put forward a more effective reform strategy of BIM course education innovation in combination with reality.
文摘In this paper,the intelligent construction of prefabricated components is analyzed based on building information modeling(BIM).It includes an overview of BIM-based prefabricated components and intelligent construction,intelligent production lines in BIM-based intelligent construction systems,and analysis of the application of intelligent manufacturing in BIM-based prefabricated components.It was found that the determination of construction goals,the establishment of intelligent construction systems,and the application of intelligent construction systems are all areas that need to be emphasized in producing prefabricated building components through intelligent construction.It is hoped that this analysis can provide some reference for the application of intelligent construction and the improvement of the quality of prefabricated building components.
基金Chongqing Municipal Education Science Planning ProjectEducational Reform Special ProjectPractice Research on Integrated Teaching Reform of“Post Course Competition Certificate”for BIM Intelligent Construction Major in Vocational Schools(K23ZG3250169)。
文摘Cultivating application-oriented talents have become essential in vocational and higher education.This concept also applies to BIM intelligent construction programs.Based on literature review and general observations,we analyzed the connotation,key points,and value of developing a BIM intelligent construction program based on application-oriented talent cultivation.We also identified problems in the development of the program such as lack of comprehensive planning and the school being the sole authority in program development.Therefore,we proposed several strategies to address these problems,including systematic program development planning and fostering a multi-faceted partnership between schools and the industry.The goal is to provide valuable insights for the development of relevant programs in the new era.
文摘Massive open online courses(MOOC)have recently gained worldwide attention in the field of education.The manner of MOOC provides a new option for learning various kinds of knowledge.A mass of data miming algorithms have been proposed to analyze the learner’s characteristics and classify the learners into different groups.However,most current algorithms mainly focus on the final grade of the learners,which may result in an improper classification.To overcome the shortages of the existing algorithms,a novel multi-feature weighting based K-means(MFWK-means)algorithm is proposed in this paper.Correlations between the widely used feature grade and other features are first investigated,and then the learners are classified based on their grades and weighted features with the proposed MFWK-means algorithm.Experimental results with the Canvas Network Person-Course(CNPC)dataset demonstrate the effectiveness of our method.Moreover,a comparison between the new MFWK-means and the traditional K-means clustering algorithm is implemented to show the superiority of the proposed method.
基金supported by the National Natural Science Foundation of China under Grant No.61801222in part supported by the Fundamental Research Funds for the Central Universities under Grant No.30919011230in part supported by the Jiangsu Provincial Department of Education Degree and Graduate Education Research Fund under Grant No.JGZD18_012.
文摘Massive Open Online Course(MOOC)has become a popular way of online learning used across the world by millions of people.Meanwhile,a vast amount of information has been collected from the MOOC learners and institutions.Based on the educational data,a lot of researches have been investigated for the prediction of the MOOC learner’s final grade.However,there are still two problems in this research field.The first problem is how to select the most proper features to improve the prediction accuracy,and the second problem is how to use or modify the data mining algorithms for a better analysis of the MOOC data.In order to solve these two problems,an improved random forests method is proposed in this paper.First,a hybrid indicator is defined to measure the importance of the features,and a rule is further established for the feature selection;then,a Clustering-Synthetic Minority Over-sampling Technique(SMOTE)is embedded into the traditional random forests algorithm to solve the class imbalance problem.In experiment part,we verify the performance of the proposed method by using the Canvas Network Person-Course(CNPC)dataset.Furthermore,four well-known prediction methods have been applied for comparison,where the superiority of our method has been proved.
基金A School-Level Educational Reform Project"The Reform and Practice Study in Higher Vocational Institutions Under the Perspective of Curriculum Thinking and Government-Case Study of Chongqing Energy College"(Grant Number:2021J03002)。
文摘Curriculum ideology and politics is an effective method to reform innovation and entrepreneurship education in the new era.Students in higher education institutions have high expectations and recognition of the integration of innovation and entrepreneurship education with civics education.However,currently,the phenomena of poor integration,mechanical application,and confusion between innovation and entrepreneurship education and civics education exist.This paper reconstructs the curriculum standards of innovation and entrepreneurship education from the perspective of curriculum ideology and politics,deeply integrates ideological and political elements into teaching objectives,design,and evaluation,reshapes teaching modules,improves teaching methods,and perfects the multiple evaluation and assessment system,so as to enhance the innovation spirit,creative consciousness,and entrepreneurial ability of higher vocational students.
文摘The QRS-T angle,as an index of noninvasive cardioelectric vector,is closely related to the change of heart structure and function.There are different methedologies to measure the QRS-T angle,which can be roughly dividedinto two types:plane angle and space angle.Studies show that the influence factors include two aspects of physiology and pathology of the angle,in pathological ways,the disease such as myocardial hypertrophy,myocardial ischemia,hypertension,ventricular arrhythmia has larger clinical significance.In recent years,the research on the risk stratification of the QRS-T angle on sudden death has made great progress,but there are still some disputes about whether the space angle can be replaced by the plane angle and the range of normal value and so on.
文摘Building information modeling(BIM)course is a subject course integrating project management course and BIM Technology.BIM-based engineering project teaching is different from traditional engineering project management.It has many advantages such as information creation,information management,digital management of information sharing,and so on,which improves the integration of project management as a whole.Therefore,it is crucial to improve the curriculum system of colleges and universities by setting up BIM courses,and to integrate BIM knowledge into the curriculum system.Setting up BIM courses and integrating BIM knowledge into the curriculum system have also been the highlight for colleges and universities.The engineering management major of the university is combined with the BIM curriculum system to adjust the relevant talent training plan.Foreign countries have gradually integrated BIM technology into the classroom teaching system,and domestic curriculum teaching is undergoing a reform and is under development.Through a systematic link between theory and practical education,a targeted,accurate,and efficient characteristic curriculum system for engineering management specialty has been developed.
基金supported by the National Natural Science Foundation of China(Grant Nos.61872218,61673241,and 61721003)the Tsinghua-Fuzhou Institute Research ProgramBeijing National Research Center for Information Science and Technology(BNRist),China。
文摘Identification of significant biological relationships or patterns is central to many metagenomic studies.Methods that estimate association networks have been proposed for this purpose;however,they assume that associations are static,neglecting the fact that relationships in a microbial ecosystem may vary with changes in environmental factors(EFs),which can result in inaccurate estimations.Therefore,in this study,we propose a computational model,called the k-Lognormal-Dirichlet-Multinomial(kLDM)model,which estimates multiple association networks that correspond to specific environmental conditions,and simultaneously infers microbe-microbe and EF-microbe associations for each network.The effectiveness of the kLDM model was demonstrated on synthetic data,a colorectal cancer(CRC)dataset,the Tara Oceans dataset,and the American Gut Project dataset.The results revealed that the widely-used Spearman’s rank correlation coefficient method performed much worse than the other methods,indicating the importance of separating samples by environmental conditions.Cancer fecal samples were then compared with cancer-free samples,and the estimation achieved by kLDM exhibited fewer associations among microbes but stronger associations between specific bacteria,especially five CRC-associated operational taxonomic units,indicating gut microbe translocation in cancer patients.Some EF-dependent associations were then found within a marine eukaryotic community.Finally,the gut microbial heterogeneity of inflammatory bowel disease patients was detected.These results demonstrate that kLDM can elucidate the complex associations within microbial ecosystems.The kLDM program,R,and Python scripts,together with all experimental datasets,are accessible at https://github.com/tinglab/kLDM.git.
文摘The integrated strap-down inertial nav igation system/olelestial navigation system(SINS/CNS)i an important autonomous navigation method with efective concealment and high predision.Both accelerometer biss and star ensor installation error ame important factors that aflect the performanoe of this mavigation system,which needl to be calibratexd and compensatedl.A new acelerometer bias and star sensor installation error joint calibration method for the SINS/CNS integrated navigation system i propoeed.In this newly propoeed method,the installation error of star sensor is augmented to the state vector,and the star vector,nadir angle,horkzontal poeition error and velbcity error ame ueed a8 measurementa to calbrate the two errors mentioned above.Simulations show that both accelerometer bias and star sensor installation enror an be calibratedl efectively.
