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Identification of Sarcasm in Textual Data: A Comparative Study

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Journal of Data and Information Science 2019年第4期4卷 56-83页

作者： Pulkit mehndiratta Devpriya Soni Jaypee Institute of Information Technology

Purpose:Ever increasing penetration of the Internet in our lives has led to an enormous amount of multimedia content generation on the *** data contributes a major share towards data generated on the world wide *** people’s sentiment is an important aspect of natural language processing,but this opinion can be biased and incorrect,if people use sarcasm while commenting,posting status updates or reviewing any product or a ***,it is of utmost importance to detect sarcasm correctly and make a correct prediction about the people’s ***/methodology/approach:This study tries to evaluate various machine learning models along with standard and hybrid deep learning models across various standardized *** have performed vectorization of text using word embedding *** has been done to convert the textual data into vectors for analytical *** have used three standardized datasets available in public domain and used three word embeddings i.e Word2Vec,GloVe and fastText to validate the ***:The results were analyzed and conclusions are *** key finding is:the hybrid models that include Bidirectional LongTerm Short Memory(Bi-LSTM)and Convolutional Neural Network(CNN)outperform others conventional machine learning as well as deep learning models across all the datasets considered in this study,making our hypothesis *** limitations:Using the data from different sources and customizing the models according to each dataset,slightly decreases the usability of the ***,overall this methodology provides effective measures to identify the presence of sarcasm with a minimum average accuracy of 80%or above for one dataset and better than the current baseline results for the other *** implications:The results provide solid insights for the system developers to integrate this model into real-time analysis of any review or comment posted in the public *** study

关键词： Machine learning Artificial neural networks Word embedding Text vectorization Accuracy

Association of NFKB1 gene polymorphism (rs28362491) with levels of inflammatory biomarkers and susceptibility to diabetic nephropathy in Asian Indians

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World Journal of Diabetes 2017年第2期8卷 66-73页

作者： Amar Gautam Stuti Gupta Mohit mehndiratta Mohini Sharma Kalpana Singh Om P Kalra Sunil Agarwal Jasvinder K Gambhir Department of Medicine University College of Medical Sciences (University of Delhi) and G.T.B. Hospital Molecular Diagnostic Laboratory Department of Biochemistry University College of Medical Sciences (University of Delhi) and G.T.B. Hospital

AIM To investigate the association of NFKB1 gene-94 ATTG insertion/deletion(rs28362491) polymorphism with inflammatory markers and risk of diabetic nephropathy in Asian *** A total of 300 subjects were recruited(100 each), normoglycemic,(NG); type 2 diabetes mellitus(T2DM) without any complications(DM) and T2 DM with diabetic nephropathy [DM-chronic renal disease(CRD)]. Analysis was carried out by polymerase chain reaction-restriction fragment length polymorphism and ELISA. Pearson's correlation, analysis of variance and logistic regression wereused for statistical *** The allelic frequencies of-94 ATTG insertion/deletion were 0.655/0.345(NG), 0.62/0.38(DM) and 0.775/0.225(DM-CRD). The-94 ATTG ins allele was associated with significantly increased levels of urinary monocyte chemoattractant protein-1(u MCP-1); u MCP-1(P = 0.026) and plasma tumor necrosis factor-alpha(TNF-α); TNF-α(P = 0.030) and almost doubled the risk of diabetic nephropathy(OR = 1.91, 95%CI: 1.080-3.386, P = 0.025).CONCLUSION-94 ATTG ins/ins polymorphism might be associated with increased risk of developing nephropathy in Asian Indian subjects with diabetes mellitus.

关键词： Diabetic nephropathy Inflammation NFKB1 -94 ATTG ins/del polymorphism Urinary monocyte chemoattractant protein-1 Tumor necrosis factor-alpha

Synopsys的Discovery AMS应对混合信号验证难题

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中国集成电路 2004年第5期13卷 32-35页

作者： Sandeep mehndiratta Synopsys公司

当今，随着越来越多消费产品功能的不断升级，无线连接已无处不在，对复杂的混合信号SoC设计的需求量正在大幅度增长。为顺应这一发展趋势，Synopsys公司发布了Discovery AMS，作为一项全新的芯片级混合信号验证解决方案。

关键词： SoC设计 Synopsys公司 Discovery AMS 混合信号验证

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中央政府在城市交通可持续发展中的角色

城市交通 2010年第5期8卷 7-10页

作者：刘志 Shomik Raj mehndiratta 世界银行美国华盛顿特区20433

中国城市交通问题已经不仅仅是拥堵、噪音、尾气等地方层面的问题,它涉及宏观经济发展、农田保护、金融体系稳定、能源安全、碳排放等国家甚至国际层面的问题。由于这些溢出问题的存在,中央政府应重新审视其在城市交通方面的作用与职责... 详细信息

中国城市交通问题已经不仅仅是拥堵、噪音、尾气等地方层面的问题,它涉及宏观经济发展、农田保护、金融体系稳定、能源安全、碳排放等国家甚至国际层面的问题。由于这些溢出问题的存在,中央政府应重新审视其在城市交通方面的作用与职责。对此,世界银行提出,中央政府可从城市交通政策导向、公交发展支持、最佳实践奖励、交通绩效标杆与评估系统、交通投融资体制改革以及城市交通示范项目等方面发挥作用。大力发展高效的公共交通是中国可持续城市交通战略的核心工作,要在有效的商业运营前提下满足社会目标、保证服务质量。保持民营部门与公共部门之间的合作互补关系是中央和地方政府所应共同做出的努力。

关键词：交通政策城市交通可持续发展中央政府

应对混合信号验证难题的Discovery AMS解决方案

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电子设计技术 EDN CHINA 2004年第3期11卷 91-91页

作者： Sandeep mehndiratta Synopsys公司

当今,随着越来越多消费产品功能的不断升级,无线连接已无处不在,对复杂的混合信号SoC设计的需求量正在大幅度增长.为顺应这一发展趋势,Synopsys公司发布了Discovery AMS,作为一项全新的芯片级混合信号验证解决方案.

关键词：混合信号验证解决方案 SoC设计无线连接芯片幅度功能消费产品需求量公司

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临床更新糖尿病足

英国医学杂志中文版 2018年第9期21卷 519-525页

作者：李佳正(译) 吴巍巍(校) 清华大学附属北京清华长庚医院血管外科

有近6％的糖尿病患者发生足部病变，包括足部感染、溃疡、组织坏死。足部病变会损害糖尿病患者的生活质量，降低社会参与度。破坏生活能力300．03％-1．5％的糖尿病足患者需要截肢。通过良好的足部医疗和筛查高危糖尿病足的危险因素，... 详细信息

有近6％的糖尿病患者发生足部病变，包括足部感染、溃疡、组织坏死。足部病变会损害糖尿病患者的生活质量，降低社会参与度。破坏生活能力300．03％-1．5％的糖尿病足患者需要截肢。通过良好的足部医疗和筛查高危糖尿病足的危险因素，可以预防大部分的糖尿病足溃疡。本文对在初级医疗中如何预防和早期管理糖尿病足进行了知识更新。

关键词：糖尿病临床分析足部病变