We show that violation of the variance based local sum uncertainty relation(LSUR)for angular momentum operators of a bipartite system,proposed by Hofmann and Takeuchi[Phys.Rev.A 68032103(2003)],reflects entanglement i...We show that violation of the variance based local sum uncertainty relation(LSUR)for angular momentum operators of a bipartite system,proposed by Hofmann and Takeuchi[Phys.Rev.A 68032103(2003)],reflects entanglement in the equal bipartitions of an N-qubit symmetric state with even qubits.We establish the one-to-one connection with the violation of LSUR with negativity of covariance matrix[Phys.Lett.A 364203(2007)]of the two-qubit reduced system of a permutation symmetric N-qubit state.展开更多
目的 :探讨疾病诊断相关分组(Diagnosis Related Groups,DRG)相关指标在护理工作量测算中的应用价值,以期构建更加科学合理的护理工作量评价模型。方法 :以北京市某三级医院31个科室为研究对象,回顾性分析2023年全年各科室11项护理工作...目的 :探讨疾病诊断相关分组(Diagnosis Related Groups,DRG)相关指标在护理工作量测算中的应用价值,以期构建更加科学合理的护理工作量评价模型。方法 :以北京市某三级医院31个科室为研究对象,回顾性分析2023年全年各科室11项护理工作量评价指标的数据,使用熵权法为各指标赋权重,利用秩和比法构建DRG和非DRG工作量评价模型,比较常规测算、DRG模型及非DRG模型3种护理工作量评价方式的优劣。结果:DRG模型和非DRG模型中护士人数、出院人次、床位周转次3个指标权重相同,权重最高的指标均为转入/转出人次,危重人日数次之。相对权重、病例组合指数、护理消耗指数分别处于第8、第5、第10顺位,病例组合指数为模型中不可忽略的重要指标。DRG模型和非DRG模型科室分档结果显示,优档有5个科室(占16%),良档有22个科室(占71%),一般档有4个科室(占13%),分档结果差异具有统计学意义(P<0.05)。结论 :基于DRG相关指标构建的护理工作量评价模型可更好地体现不同科室间的差异,对护理工作量测算具有一定借鉴意义,可为护理管理决策提供科学有效的依据。展开更多
User-analysis techniques are mainly used to recommend friends and information. This paper discusses the data characteristics of microblog users and describes a multidimensional user rec- ommendation algorithm that tak...User-analysis techniques are mainly used to recommend friends and information. This paper discusses the data characteristics of microblog users and describes a multidimensional user rec- ommendation algorithm that takes into account microblog length, relativity between microblog and users, and familiarity between users. The experimental results show that this multidi- mensional algorithm is more accurate than a traditional recom- mendation algorithm.展开更多
Purpose: This paper aims to provide a method to detect research communities based on research interest in researcher network, which combines the topological structure and vertex attributes in a unified manner.Design/m...Purpose: This paper aims to provide a method to detect research communities based on research interest in researcher network, which combines the topological structure and vertex attributes in a unified manner.Design/methodology/approach: A heterogeneous researcher network has been constructed by combining multiple relations of academic researchers. Vertex attributes and their similarities were considered and calculated. An approach has been proposed and tested to detect research community in research organizations based on this multi-relation researcher network.Findings: Detection of topologically well-connected, semantically coherent and meaningful research community was achieved.Research limitations: The sample size of evaluation experiments was relatively small. In the present study, a limited number of 72 researchers were analyzed for constructing researcher network and detecting research community. Therefore, a large sample size is required to give more information and reliable results.Practical implications: The proposed multi-relation researcher network and approaches for discovering research communities of similar research interests will contribute to collective innovation behavior such as brainstorming and to promote interdisciplinary cooperation.Originality/value: Recent researches on community detection devote most efforts to singlerelation researcher networks and put the main focus on the topological structure of networks.In reality, there exist multi-relation social networks. Vertex attribute also plays an important role in community detection. The present study combined multiple single-relational researcher networks into a multi-relational network and proposed a structure-attribute clustering method for detecting research community in research organizations.展开更多
目的调查癌症患者的经济毒性、社会再融合与生活质量现状,分析癌症患者经济毒性对社会再融合和生活质量的影响,探讨癌症患者经济毒性、社会再融合与生活质量的路径关系。方法便利选取2021年11月-2022年3月在复旦大学附属肿瘤医院接受治...目的调查癌症患者的经济毒性、社会再融合与生活质量现状,分析癌症患者经济毒性对社会再融合和生活质量的影响,探讨癌症患者经济毒性、社会再融合与生活质量的路径关系。方法便利选取2021年11月-2022年3月在复旦大学附属肿瘤医院接受治疗且符合纳排标准的582例患者,采用一般资料调查表、中文版患者报告结局的经济毒性综合评分量表(comprehensive scores for financial toxicity based on the patient-reported outcome measures,COST-PROM)、中文版重返正常生活指数量表(reintegration to normal life index,RNLI)及癌症患者生命质量测定量表EORTC V3.0中文版(European organization for research and treatment of cancer quality of life questionnaire,EORTC QLQ-C30)调查患者经济毒性、社会再融合及生活质量现况,并进行路径分析。结果研究对象经济毒性得分为(21.60±8.58)分,社会再融合得分为(73.69±20.65)分,生活质量得分为(350.52±92.52)分;患者经济毒性与其社会再融合、生活质量都呈现正相关关系;经济毒性在社会再融合和生活质量之间起中介作用。结论社会再融合不仅直接影响生活质量,而且能通过经济毒性进一步影响生活质量,未来的癌症护理实践应努力降低癌症患者的经济毒性、提高其社会再融合的程度,从而改善癌症患者的生活质量。展开更多
基金the support of NCN,SHENG(Grant No.2018/30/Q/ST2/00625)supported by the Department of Science and Technology,India(Grant No.DST/ICPS/QUST/Theme-2/2019)。
文摘We show that violation of the variance based local sum uncertainty relation(LSUR)for angular momentum operators of a bipartite system,proposed by Hofmann and Takeuchi[Phys.Rev.A 68032103(2003)],reflects entanglement in the equal bipartitions of an N-qubit symmetric state with even qubits.We establish the one-to-one connection with the violation of LSUR with negativity of covariance matrix[Phys.Lett.A 364203(2007)]of the two-qubit reduced system of a permutation symmetric N-qubit state.
文摘User-analysis techniques are mainly used to recommend friends and information. This paper discusses the data characteristics of microblog users and describes a multidimensional user rec- ommendation algorithm that takes into account microblog length, relativity between microblog and users, and familiarity between users. The experimental results show that this multidi- mensional algorithm is more accurate than a traditional recom- mendation algorithm.
基金supported by the National Natural Science Foundation of China(Grant No.:71203164)
文摘Purpose: This paper aims to provide a method to detect research communities based on research interest in researcher network, which combines the topological structure and vertex attributes in a unified manner.Design/methodology/approach: A heterogeneous researcher network has been constructed by combining multiple relations of academic researchers. Vertex attributes and their similarities were considered and calculated. An approach has been proposed and tested to detect research community in research organizations based on this multi-relation researcher network.Findings: Detection of topologically well-connected, semantically coherent and meaningful research community was achieved.Research limitations: The sample size of evaluation experiments was relatively small. In the present study, a limited number of 72 researchers were analyzed for constructing researcher network and detecting research community. Therefore, a large sample size is required to give more information and reliable results.Practical implications: The proposed multi-relation researcher network and approaches for discovering research communities of similar research interests will contribute to collective innovation behavior such as brainstorming and to promote interdisciplinary cooperation.Originality/value: Recent researches on community detection devote most efforts to singlerelation researcher networks and put the main focus on the topological structure of networks.In reality, there exist multi-relation social networks. Vertex attribute also plays an important role in community detection. The present study combined multiple single-relational researcher networks into a multi-relational network and proposed a structure-attribute clustering method for detecting research community in research organizations.
基金国家自然科学基金青年科学基金项目(编号:72004034)China Medical Board Open Competition Program(编号:20-371)。
文摘目的调查癌症患者的经济毒性、社会再融合与生活质量现状,分析癌症患者经济毒性对社会再融合和生活质量的影响,探讨癌症患者经济毒性、社会再融合与生活质量的路径关系。方法便利选取2021年11月-2022年3月在复旦大学附属肿瘤医院接受治疗且符合纳排标准的582例患者,采用一般资料调查表、中文版患者报告结局的经济毒性综合评分量表(comprehensive scores for financial toxicity based on the patient-reported outcome measures,COST-PROM)、中文版重返正常生活指数量表(reintegration to normal life index,RNLI)及癌症患者生命质量测定量表EORTC V3.0中文版(European organization for research and treatment of cancer quality of life questionnaire,EORTC QLQ-C30)调查患者经济毒性、社会再融合及生活质量现况,并进行路径分析。结果研究对象经济毒性得分为(21.60±8.58)分,社会再融合得分为(73.69±20.65)分,生活质量得分为(350.52±92.52)分;患者经济毒性与其社会再融合、生活质量都呈现正相关关系;经济毒性在社会再融合和生活质量之间起中介作用。结论社会再融合不仅直接影响生活质量,而且能通过经济毒性进一步影响生活质量,未来的癌症护理实践应努力降低癌症患者的经济毒性、提高其社会再融合的程度,从而改善癌症患者的生活质量。
