The purpose of this paper is to introduce and discuss the concept of topical functions on upward sets. We give characterizations of topical functions in terms of upward sets.
This article focuses on the discussion of Chinese topics and English marked theme. It will be divided into four parts. Part I is introduction part. It introduces the concepts of Chinese topic and English marked theme....This article focuses on the discussion of Chinese topics and English marked theme. It will be divided into four parts. Part I is introduction part. It introduces the concepts of Chinese topic and English marked theme. Part II tells different types of Chinese topics and English marked themes. Part III discusses the functions of Chinese topics and English themes. Part IV is the conclusion part.展开更多
AIM: To evaluate the efficacy of 0.1% topical salicylic acid（TSA） to treat iatrogenic chronic blepharoconjunctivitis in patients with primary open angle glaucoma（POAG）, treated with topical prostaglandin analogues...AIM: To evaluate the efficacy of 0.1% topical salicylic acid（TSA） to treat iatrogenic chronic blepharoconjunctivitis in patients with primary open angle glaucoma（POAG）, treated with topical prostaglandin analogues（TPAs）.METHODS: Totally 60 patients were randomly distributed into 3 equal size groups, two of which treated with 0.1% TSA（OMKASA;） and 0.1% topical clobetasone butyrate（TCB; VISUCLOBEN;） respectively, and one consisting of untreated controls. The parameters taken into account at baseline（T0） and after 30 d（T1） of therapy were: conjunctival hyperemia, lacrimal function tests [Schirmer I test and break up time（BUT）] and intraocular pressure（IOP）.RESULTS: Conjunctival hyperemia showed a substantial improvement in both treated groups（P<0.001） but not among controls. Similarly, lacrimal function tests displayed an improvement of Schirmer I test in both treated groups（P<0.05） and an extension of BUT only in the group treated with 0.1% TSA（P<0.05）. The IOP increase was statistically significant only in those patients treated with 0.1% TCB（P<0.001）.CONCLUSION: The 0.1% TSA has proved to be an effective anti-inflammatory treatment of blepharoconjunctivitis affecting glaucoma patients on therapy with TPAs, leading to a sizeable decrease of inflammation as well as both quantitative and qualitative improvement of tear film. Furthermore, differently from 0.1% TCB, it does not induce any significant IOP increase.展开更多
The logistic normal distribution has recently been adapted via the transformation of multivariate Gaussian variables to model the topical distribution of documents in the presence of correlations among topics. In this...The logistic normal distribution has recently been adapted via the transformation of multivariate Gaussian variables to model the topical distribution of documents in the presence of correlations among topics. In this paper, we propose a probit normal alternative approach to modelling correlated topical structures. Our use of the probit model in the context of topic discovery is novel, as many authors have so far concentrated solely of the logistic model partly due to the formidable inefficiency of the multinomial probit model even in the case of very small topical spaces. We herein circumvent the inefficiency of multinomial probit estimation by using an adaptation of the diagonal orthant multinomial probit in the topic models context, resulting in the ability of our topic modeling scheme to handle corpuses with a large number of latent topics. An additional and very important benefit of our method lies in the fact that unlike with the logistic normal model whose non-conjugacy leads to the need for sophisticated sampling schemes, our approach exploits the natural conjugacy inherent in the auxiliary formulation of the probit model to achieve greater simplicity. The application of our proposed scheme to a well-known Associated Press corpus not only helps discover a large number of meaningful topics but also reveals the capturing of compellingly intuitive correlations among certain topics. Besides, our proposed approach lends itself to even further scalability thanks to various existing high performance algorithms and architectures capable of handling millions of documents.展开更多
针对民航机务维修领域安全风险研究过程中文本数据利用不充分造成风险要素遗漏的问题,提出了基于改进LDA的机务风险要素识别模型(TF-IDF and Gaussian function-LDA,TG-LDA)。通过构建机务维修领域词典,改善文本挖掘预处理中分词精度不...针对民航机务维修领域安全风险研究过程中文本数据利用不充分造成风险要素遗漏的问题,提出了基于改进LDA的机务风险要素识别模型(TF-IDF and Gaussian function-LDA,TG-LDA)。通过构建机务维修领域词典,改善文本挖掘预处理中分词精度不高的问题;针对LDA主题模型输入样本量大、噪声多的问题采用TF-IDF算法与高斯函数结合的词条双重优化模型对其优化,最终识别出26类机务维修不安全事件风险要素,并通过可视化进行了风险要素分析。结果表明,与传统算法对比,困惑度由7.19×10^(-4)降低至2.13×10^(-4),改善了文本挖掘中风险要素遗漏的问题,同时识别出机务维修领域主要的风险要素为人员认知存在偏差、维修过程违规作业、人员遗忘/疏漏、检查不全面及飞机部件出现故障。展开更多
文摘The purpose of this paper is to introduce and discuss the concept of topical functions on upward sets. We give characterizations of topical functions in terms of upward sets.
文摘This article focuses on the discussion of Chinese topics and English marked theme. It will be divided into four parts. Part I is introduction part. It introduces the concepts of Chinese topic and English marked theme. Part II tells different types of Chinese topics and English marked themes. Part III discusses the functions of Chinese topics and English themes. Part IV is the conclusion part.
文摘AIM: To evaluate the efficacy of 0.1% topical salicylic acid（TSA） to treat iatrogenic chronic blepharoconjunctivitis in patients with primary open angle glaucoma（POAG）, treated with topical prostaglandin analogues（TPAs）.METHODS: Totally 60 patients were randomly distributed into 3 equal size groups, two of which treated with 0.1% TSA（OMKASA;） and 0.1% topical clobetasone butyrate（TCB; VISUCLOBEN;） respectively, and one consisting of untreated controls. The parameters taken into account at baseline（T0） and after 30 d（T1） of therapy were: conjunctival hyperemia, lacrimal function tests [Schirmer I test and break up time（BUT）] and intraocular pressure（IOP）.RESULTS: Conjunctival hyperemia showed a substantial improvement in both treated groups（P<0.001） but not among controls. Similarly, lacrimal function tests displayed an improvement of Schirmer I test in both treated groups（P<0.05） and an extension of BUT only in the group treated with 0.1% TSA（P<0.05）. The IOP increase was statistically significant only in those patients treated with 0.1% TCB（P<0.001）.CONCLUSION: The 0.1% TSA has proved to be an effective anti-inflammatory treatment of blepharoconjunctivitis affecting glaucoma patients on therapy with TPAs, leading to a sizeable decrease of inflammation as well as both quantitative and qualitative improvement of tear film. Furthermore, differently from 0.1% TCB, it does not induce any significant IOP increase.
文摘The logistic normal distribution has recently been adapted via the transformation of multivariate Gaussian variables to model the topical distribution of documents in the presence of correlations among topics. In this paper, we propose a probit normal alternative approach to modelling correlated topical structures. Our use of the probit model in the context of topic discovery is novel, as many authors have so far concentrated solely of the logistic model partly due to the formidable inefficiency of the multinomial probit model even in the case of very small topical spaces. We herein circumvent the inefficiency of multinomial probit estimation by using an adaptation of the diagonal orthant multinomial probit in the topic models context, resulting in the ability of our topic modeling scheme to handle corpuses with a large number of latent topics. An additional and very important benefit of our method lies in the fact that unlike with the logistic normal model whose non-conjugacy leads to the need for sophisticated sampling schemes, our approach exploits the natural conjugacy inherent in the auxiliary formulation of the probit model to achieve greater simplicity. The application of our proposed scheme to a well-known Associated Press corpus not only helps discover a large number of meaningful topics but also reveals the capturing of compellingly intuitive correlations among certain topics. Besides, our proposed approach lends itself to even further scalability thanks to various existing high performance algorithms and architectures capable of handling millions of documents.
文摘针对民航机务维修领域安全风险研究过程中文本数据利用不充分造成风险要素遗漏的问题,提出了基于改进LDA的机务风险要素识别模型(TF-IDF and Gaussian function-LDA,TG-LDA)。通过构建机务维修领域词典,改善文本挖掘预处理中分词精度不高的问题;针对LDA主题模型输入样本量大、噪声多的问题采用TF-IDF算法与高斯函数结合的词条双重优化模型对其优化,最终识别出26类机务维修不安全事件风险要素,并通过可视化进行了风险要素分析。结果表明,与传统算法对比,困惑度由7.19×10^(-4)降低至2.13×10^(-4),改善了文本挖掘中风险要素遗漏的问题,同时识别出机务维修领域主要的风险要素为人员认知存在偏差、维修过程违规作业、人员遗忘/疏漏、检查不全面及飞机部件出现故障。
