西藏公路建设之我见

本文针对我区公路建设目前存在的一些问题和不足，提出了自己的观点和见解，以提高我区公路建设管理水平。     

对基础研究的一些认识

2001年,中国经历了15年谈判,加入了基本上已由先入为主者制定了游戏规则的世界贸易组织,带着背水而战、志在必得的豪情,我国民族工业多么需要建立在自主知识产权基础上的支柱产业!我国自然科学多么需要对人类历史发展做出真正的创新贡献!然而,为何多年来我国自然科学基础研究在种种“重视”、“稳定”的提法下举步维艰,许多深层次的问题令人担忧!完成人类基因组1%和水稻全基因组的测序,确是值得称道的成绩。同时要清醒看到,所用的自动测序机器全系舶来,还不必提及所用原理。研制出每秒万亿次以上浮点运算的大型并行处理系统,当然是重大科研…     

刍议西藏经济社会与生态建设和谐发展

通过对西藏生态环境建设概况的分析，从加强法制建设，加大环境管理与法律法规执行的力度，加快自然保护区建设，积极进行生态示范区建设和加强野生动植物保护等方案，提出加强西藏生态环境建设与构建和谐社会的主要措施。     

青杨天牛在我区危害的初步研究

青杨天牛属我区林业植物检疫对象自1995年传入我区后，已在我区一江两河地区蔓延扩散，严重危害我区林业生产和造林成果，为更好的指导我区防治工作，对其生物学特性进行研究十分必要。     

关于人与自然关系的再认识--对自组织自然观、可持续发展观与环境伦理观及其关系的探讨与剖析

本文综合地探讨和剖析了自组织自然观、可持续发展观与环境伦理观及其它们之间的内在关系,指出可持续发展不仅是人类基于自组织客观规律的必然选择,而且有其自身的自组织原则,在此基础上又进一步深入指出,环境伦理的建构是可持续发展得以全面实现的强大道德保障.     

关爱学生的成长,做一个名副其实的德育工作者

“师者,传道、授业、解惑也”。现在教育中的困惑实在太多,我们教育工作者不仅要为学生解惑,为家长解惑,对人生的价值取向解惑,更要为教育的价值、教育的观念等一系列教育中所出现的问题解惑。作为教师应该关注学生,欣赏学生,关爱学生的成长,做一个名副其实的德育工作者。     

企业家技术创新主体现状分析

文章采用理论与实证相结合的方法，分析了影响我国企业家尚未成为技术创新主体的因素，并据此提出相应措施。     

医学科技期刊编辑工作中的几点体会

编辑部应注重对编辑与编务人员整体素质的培养,这是提高期刊出版质量的保障;编辑应认真对待稿件审与退的处理,以防止有价值的稿件的流失,提高稿件处理的透明度;并从缩短期刊发表的时效看网络期刊的发展趋势.     

Multi-lingual opinion mining on YouTube

In order to successfully apply opinion mining (OM) to the large amounts of user-generated content produced every day, we need robust models that can handle the noisy input well yet can easily be adapted to a new domain or language. We here focus on opinion mining for YouTube by (i) modeling classifiers that predict the type of a comment and its polarity, while distinguishing whether the polarity is directed towards the product or video; (ii) proposing a robust shallow syntactic structure (STRUCT) that adapts well when tested across domains; and (iii) evaluating the effectiveness on the proposed structure on two languages, English and Italian. We rely on tree kernels to automatically extract and learn features with better generalization power than traditionally used bag-of-word models. Our extensive empirical evaluation shows that (i) STRUCT outperforms the bag-of-words model both within the same domain (up to 2.6% and 3% of absolute improvement for Italian and English, respectively); (ii) it is particularly useful when tested across domains (up to more than 4% absolute improvement for both languages), especially when little training data is available (up to 10% absolute improvement) and (iii) the proposed structure is also effective in a lower-resource language scenario, where only less accurate linguistic processing tools are available.     

Facet-based opinion retrieval from blogs

The paper presents methods of retrieving blog posts containing opinions about an entity expressed in the query. The methods use a lexicon of subjective words and phrases compiled from manually and automatically developed resources. One of the methods uses the Kullback–Leibler divergence to weight subjective words occurring near query terms in documents, another uses proximity between the occurrences of query terms and subjective words in documents, and the third combines both factors. Methods of structuring queries into facets, facet expansion using Wikipedia, and a facet-based retrieval are also investigated in this work. The methods were evaluated using the TREC 2007 and 2008 Blog track topics, and proved to be highly effective.     

All money go my home

来不赢去定输：在太平洋上有信号算什么,在珠穆朗玛峰顶上有信号算什么,在南极洲有信号算什么,在被屏蔽了的高考考场上有信号……那才叫牛!     

AsU-OSum: Aspect-augmented unsupervised opinion summarization

Opinion summarization can facilitate user’s decision-making by mining the salient review information. However, due to the lack of sufficient annotated data, most of the early works are based on extractive methods, which restricts the performance of opinion summarization. In this work, we aim to improve the informativeness of opinion summarization to provide better guidance to users. We consider the setting with only reviews without corresponding summaries, and propose an aspect-augmented model for unsupervised abstractive opinion summarization, denoted as AsU-OSum. We first employ an aspect-based sentiment analysis system to extract opinion phrases from reviews. Then, we construct a heterogeneous graph consisting of reviews and opinion clusters as nodes, which is used to enhance the Transformer-based encoder–decoder framework. Furthermore, we design a novel cascaded attention mechanism to prompt the decoder to pay more attention to the aspects that are more likely to appear in summary. During training, we introduce a sentiment accuracy reward that further enhances the learning ability of our model. We conduct comprehensive experiments on the Yelp, Amazon, and Rotten Tomatoes datasets. Automatic evaluation results show that our model is competitive and performs better than the state-of-the-art (SOTA) models on some ROUGE metrics. Human evaluation results further verify that our model can generate more informative summaries and reduce redundancy.     

Public opinion on innovation in France

A survey of French public opinion towards innovation and technical progress was undertaken in March 1975. It creates an artificial way of life, threatening the life of the next generation, and turning men into robots. Artificial needs are created to sell new consumer products. But innovations transforming production methods are beneficial to both management and labour. Technical progress will contribute in future to improving production methods, to raising levels of income, to helping developing countries, and to solving the energy crisis; it will not contribute to the reduction of unemployment, the reduction of risks of war, increasing harmony with nature, or giving a poetic sense to life.Major priorities for innovation in the next few years should be the reduction of waste of all sorts, the exploitation of new energy sources, the improvement of working conditions, and the protection of nature. These severe judgements by French public opinion of the industrial way of life and of technical progress have been presented to industrialists, who questioned the validity and the utility of this sort of inquiry.     

科学学的产生

科学学是"把科学当作一种社会现象来研究的学科".科学学研究起始于20世纪二、三十年代,第二次世界大战以后得到迅速发展.科学学的研究内容包括:(1)自然科学在社会历史发展中的地位和作用.(2)从总体上研究现代科学知识体系,揭示自然科学的发展规律.(3)自然科学的社会形成过程.(4)确定科技发展的具体任务与途径,对科研活动实行最好的管理,争取最优的成果.(5)研究形成完整的科学教育系统.科学学是在现代科学技术革命的背景下诞生和发展的.     

做一个真正幸福的教师

作为有＂人类灵魂工程师＂美誉的教师,什么是教师的幸福呢？平静淡泊是笔者作为教师的一种状态,精神高贵是笔者作为教师的一种操守。     

Utilization of biological variation data in the interpretation of laboratory test results – survey about clinicians’ opinion and knowledge

IntroductionTo interpret test results correctly, understanding of the variations that affect test results is essential. The aim of this study is: 1) to evaluate the clinicians’ knowledge and opinion concerning biological variation (BV), and 2) to investigate if clinicians use BV in the interpretation of test results.Materials and methodsThis study uses a questionnaire comprising open-ended and close-ended questions. Questions were selected from the real-life numerical examples of interpretation of test results, the knowledge about main sources of variations in laboratories and the opinion of clinicians on BV. A total of 399 clinicians were interviewed, and the answers were evaluated using a scoring system ranked from A (clinician has the highest level of knowledge and the ability of using BV data) to D (clinician has no knowledge about variations in laboratory). The results were presented as number (N) and percentage (%).ResultsAltogether, 60.4% of clinicians have knowledge of pre-analytical and analytical variations; but only 3.5% of them have knowledge related to BV. The number of clinicians using BV data or reference change value (RCV) to interpret measurements results was zero, while 79.4% of clinicians accepted that the difference between two measurements results located within the reference interval may be significant.ConclusionsClinicians do not use BV data or tools derived from BV such as RCV to interpret test results. It is recommended that BV should be included in the medical school curriculum, and clinicians should be encouraged to use BV data for safe and valid interpretation of test results.