Dear Editor,Hepatitis C Virus(HCV)infection is a huge public health problem globally,because it can lead to adverse long-term clinical outcomes.In China,the population has experienced a skyrocketing growth of HCV infe...Dear Editor,Hepatitis C Virus(HCV)infection is a huge public health problem globally,because it can lead to adverse long-term clinical outcomes.In China,the population has experienced a skyrocketing growth of HCV infections because of paid blood donations in the late 1980s to early 1990s(Lu et al.2013;Yin et al.2015).展开更多
China and Vietnam have maintained close theatrical exchange.A group of Vietnamese students studied at the Central Academy of Drama and the National Academy of Chinese Theatre Arts(NACTA)of China in the 1950s and’60s....China and Vietnam have maintained close theatrical exchange.A group of Vietnamese students studied at the Central Academy of Drama and the National Academy of Chinese Theatre Arts(NACTA)of China in the 1950s and’60s.The past decade has witnessed steadily improving relations between the two countries.Their cultural exchange,especially in theatrical arts,has become increasingly fruitful in three distinct ways.展开更多
BACKGROUND Immunoglobulin G4-related prostate disease(IgG4-RPD)characterized by a high count of IgG4-positive plasma cells has distinctive serological and radiological findings.Here we report a case of a patient who w...BACKGROUND Immunoglobulin G4-related prostate disease(IgG4-RPD)characterized by a high count of IgG4-positive plasma cells has distinctive serological and radiological findings.Here we report a case of a patient who was successfully treated for IgG4-RPD,which manifested as frequent micturition,dysuric,and systemic lymphadenopathy.CASE SUMMARY The patient was a 33-year-old man who was referred to our hospital because of urinary tract symptoms that had persisted for 4 years.A physical examination revealed systemic lymphadenopathy and blood tests showed hyperglobulinemia with an IgG level of 18.90 g/L and an IgG4 level of 18.40 g/L.Computed tomography(CT)revealed bilateral lacrimal gland,right parotid gland and prostatic enlargement.Based on these findings,IgG4-RD was suspected,and further pathological examination and follow-up results showed expected results.Finally,the patient was diagnosed with IgG4-RPD based on clinical symptoms,pathological examination,therapeutic effects,and follow-up results.He received 50 mg oral prednisolone(the dose was gradually reduced and a low dose was used for long-term maintenance)in combination with cyclophosphamide 1.0 g via an intravenous drip for 6 mo.One year after the treatment was initiated,he was free of urinary or other complaints and his serum IgG4 level normalized.CONCLUSION In IgG4-RPD with severe urinary tract symptoms,radiological findings should be carefully examined.IgG4-RPD prognosis is good because the disease responds well to glucocorticoids.Furthermore,it is urgent for clinicians and pathologists to improve their understanding of IgG4-RPD.展开更多
It is of great significance to improve the efficiency of railway production and operation by realizing the fault knowledge association through the efficient data mining algorithm.However,high utility quantitative freq...It is of great significance to improve the efficiency of railway production and operation by realizing the fault knowledge association through the efficient data mining algorithm.However,high utility quantitative frequent pattern mining algorithms in the field of data mining still suffer from the problems of low time-memory performance and are not easy to scale up.In the context of such needs,we propose a related degree-based frequent pattern mining algorithm,named Related High Utility Quantitative Item set Mining(RHUQI-Miner),to enable the effective mining of railway fault data.The algorithm constructs the item-related degree structure of fault data and gives a pruning optimization strategy to find frequent patterns with higher related degrees,reducing redundancy and invalid frequent patterns.Subsequently,it uses the fixed pattern length strategy to modify the utility information of the item in the mining process so that the algorithm can control the length of the output frequent pattern according to the actual data situation and further improve the performance and practicability of the algorithm.The experimental results on the real fault dataset show that RHUQI-Miner can effectively reduce the time and memory consumption in the mining process,thus providing data support for differentiated and precise maintenance strategies.展开更多
频繁模式挖掘(Frequent Pattern Mining,FPM)是图数据分析、挖掘领域的核心问题之一,其目的是从大规模图数据中发现支持度不低于指定阈值的模式.传统的频繁模式挖掘算法依赖支持度进行剪枝,返回结果往往包含大量“冗余”模式;top-k模式...频繁模式挖掘(Frequent Pattern Mining,FPM)是图数据分析、挖掘领域的核心问题之一,其目的是从大规模图数据中发现支持度不低于指定阈值的模式.传统的频繁模式挖掘算法依赖支持度进行剪枝,返回结果往往包含大量“冗余”模式;top-k模式挖掘算法虽然仅返回k个频繁模式,但该类算法主要依据“客观”指标,如支持度等,对模式进行评估,难以充分反映用户的主观兴趣偏好.针对上述问题,提出一种基于主动学习的模式兴趣评估方法(Pattern Interestingness Evaluation with Active Learning,PIEAL),通过主动学习策略,从采样图上挖掘的频繁模式中选择代表性模式,并利用有限次人机交互收集用户对这些模式的偏好,进而预测模式的兴趣分数,指导算法发现用户感兴趣的模式.在人机交互环节,PIEAL采用基于成对比较的策略来收集用户对模式的偏好反馈,有效降低了用户的主观评价难度.在真实数据集上的实验结果表明,PIEAL仅需要少量的人机交互便可发现用户感兴趣的模式,其测试集准确率最高可达95%.展开更多
A new algorithm based on an FC-tree （frequent closed pattern tree） and a max-FCIA （maximal frequent closed itemsets algorithm） is presented, which is used to mine the frequent closed itemsets for solving memory an...A new algorithm based on an FC-tree （frequent closed pattern tree） and a max-FCIA （maximal frequent closed itemsets algorithm） is presented, which is used to mine the frequent closed itemsets for solving memory and time consuming problems. This algorithm maps the transaction database by using a Hash table,gets the support of all frequent itemsets through operating the Hash table and forms a lexicographic subset tree including the frequent itemsets.Efficient pruning methods are used to get the FC-tree including all the minimum frequent closed itemsets through processing the lexicographic subset tree.Finally,frequent closed itemsets are generated from minimum frequent closed itemsets.The experimental results show that the mapping transaction database is introduced in the algorithm to reduce time consumption and to improve the efficiency of the program.Furthermore,the effective pruning strategy restrains the number of candidates,which saves space.The results show that the algorithm is effective.展开更多
基金supported by the National Natural Science Foundation of China(Grants 81861138003 and 81672057)。
文摘Dear Editor,Hepatitis C Virus(HCV)infection is a huge public health problem globally,because it can lead to adverse long-term clinical outcomes.In China,the population has experienced a skyrocketing growth of HCV infections because of paid blood donations in the late 1980s to early 1990s(Lu et al.2013;Yin et al.2015).
文摘China and Vietnam have maintained close theatrical exchange.A group of Vietnamese students studied at the Central Academy of Drama and the National Academy of Chinese Theatre Arts(NACTA)of China in the 1950s and’60s.The past decade has witnessed steadily improving relations between the two countries.Their cultural exchange,especially in theatrical arts,has become increasingly fruitful in three distinct ways.
基金Supported by the Guangdong Provincial Bureau of Traditional Chinese Medicine,No.20222065Science and Technology Planning Project of Guangdong Province of China,No.A2021100National Natural Science Foundation of China,No.82104989。
文摘BACKGROUND Immunoglobulin G4-related prostate disease(IgG4-RPD)characterized by a high count of IgG4-positive plasma cells has distinctive serological and radiological findings.Here we report a case of a patient who was successfully treated for IgG4-RPD,which manifested as frequent micturition,dysuric,and systemic lymphadenopathy.CASE SUMMARY The patient was a 33-year-old man who was referred to our hospital because of urinary tract symptoms that had persisted for 4 years.A physical examination revealed systemic lymphadenopathy and blood tests showed hyperglobulinemia with an IgG level of 18.90 g/L and an IgG4 level of 18.40 g/L.Computed tomography(CT)revealed bilateral lacrimal gland,right parotid gland and prostatic enlargement.Based on these findings,IgG4-RD was suspected,and further pathological examination and follow-up results showed expected results.Finally,the patient was diagnosed with IgG4-RPD based on clinical symptoms,pathological examination,therapeutic effects,and follow-up results.He received 50 mg oral prednisolone(the dose was gradually reduced and a low dose was used for long-term maintenance)in combination with cyclophosphamide 1.0 g via an intravenous drip for 6 mo.One year after the treatment was initiated,he was free of urinary or other complaints and his serum IgG4 level normalized.CONCLUSION In IgG4-RPD with severe urinary tract symptoms,radiological findings should be carefully examined.IgG4-RPD prognosis is good because the disease responds well to glucocorticoids.Furthermore,it is urgent for clinicians and pathologists to improve their understanding of IgG4-RPD.
基金supported by the Research on Key Technologies and Typical Applications of Big Data in Railway Production and Operation(P2023S006)the Fundamental Research Funds for the Central Universities(2022JBZY023).
文摘It is of great significance to improve the efficiency of railway production and operation by realizing the fault knowledge association through the efficient data mining algorithm.However,high utility quantitative frequent pattern mining algorithms in the field of data mining still suffer from the problems of low time-memory performance and are not easy to scale up.In the context of such needs,we propose a related degree-based frequent pattern mining algorithm,named Related High Utility Quantitative Item set Mining(RHUQI-Miner),to enable the effective mining of railway fault data.The algorithm constructs the item-related degree structure of fault data and gives a pruning optimization strategy to find frequent patterns with higher related degrees,reducing redundancy and invalid frequent patterns.Subsequently,it uses the fixed pattern length strategy to modify the utility information of the item in the mining process so that the algorithm can control the length of the output frequent pattern according to the actual data situation and further improve the performance and practicability of the algorithm.The experimental results on the real fault dataset show that RHUQI-Miner can effectively reduce the time and memory consumption in the mining process,thus providing data support for differentiated and precise maintenance strategies.
文摘频繁模式挖掘(Frequent Pattern Mining,FPM)是图数据分析、挖掘领域的核心问题之一,其目的是从大规模图数据中发现支持度不低于指定阈值的模式.传统的频繁模式挖掘算法依赖支持度进行剪枝,返回结果往往包含大量“冗余”模式;top-k模式挖掘算法虽然仅返回k个频繁模式,但该类算法主要依据“客观”指标,如支持度等,对模式进行评估,难以充分反映用户的主观兴趣偏好.针对上述问题,提出一种基于主动学习的模式兴趣评估方法(Pattern Interestingness Evaluation with Active Learning,PIEAL),通过主动学习策略,从采样图上挖掘的频繁模式中选择代表性模式,并利用有限次人机交互收集用户对这些模式的偏好,进而预测模式的兴趣分数,指导算法发现用户感兴趣的模式.在人机交互环节,PIEAL采用基于成对比较的策略来收集用户对模式的偏好反馈,有效降低了用户的主观评价难度.在真实数据集上的实验结果表明,PIEAL仅需要少量的人机交互便可发现用户感兴趣的模式,其测试集准确率最高可达95%.
基金The National Natural Science Foundation of China(No.60603047)the Natural Science Foundation of Liaoning ProvinceLiaoning Higher Education Research Foundation(No.2008341)
文摘A new algorithm based on an FC-tree （frequent closed pattern tree） and a max-FCIA （maximal frequent closed itemsets algorithm） is presented, which is used to mine the frequent closed itemsets for solving memory and time consuming problems. This algorithm maps the transaction database by using a Hash table,gets the support of all frequent itemsets through operating the Hash table and forms a lexicographic subset tree including the frequent itemsets.Efficient pruning methods are used to get the FC-tree including all the minimum frequent closed itemsets through processing the lexicographic subset tree.Finally,frequent closed itemsets are generated from minimum frequent closed itemsets.The experimental results show that the mapping transaction database is introduced in the algorithm to reduce time consumption and to improve the efficiency of the program.Furthermore,the effective pruning strategy restrains the number of candidates,which saves space.The results show that the algorithm is effective.
