Montgomery multiplication over rings

Montgomery multiplication of two elements a and b of a finite field F_q is defined as abr^-1 where r is a fixed field element in . In this paper we define Montgomery multiplication of elements a(x) and b(x) in a polynomial ring modulo the ideal generated by a reducible polynomial f(x). We then show that Montgomery multiplication over a field represented by a polynomial ring modulo an irreducible pentanomial can be performed more efficiently in terms of time delay by embedding the field in a quotient of a polynomial ring modulo a reducible trinomial. The trinomial has a degree that is slightly higher than that of the pentanomial, thereby increasing the number of gates in the multiplier by a small amount.     

Real-time processing of social media with SENTINEL: A syndromic surveillance system incorporating deep learning for health classification

Interest in real-time syndromic surveillance based on social media data has greatly increased in recent years. The ability to detect disease outbreaks earlier than traditional methods would be highly useful for public health officials. This paper describes a software system which is built upon recent developments in machine learning and data processing to achieve this goal. The system is built from reusable modules integrated into data processing pipelines that are easily deployable and configurable. It applies deep learning to the problem of classifying health-related tweets and is able to do so with high accuracy. It has the capability to detect illness outbreaks from Twitter data and then to build up and display information about these outbreaks, including relevant news articles, to provide situational awareness. It also provides nowcasting functionality of current disease levels from previous clinical data combined with Twitter data.The preliminary results are promising, with the system being able to detect outbreaks of influenza-like illness symptoms which could then be confirmed by existing official sources. The Nowcasting module shows that using social media data can improve prediction for multiple diseases over simply using traditional data sources.     

Information retrieval in the workplace: A comparison of professional search practices

Legal researchers, recruitment professionals, healthcare information professionals, and patent analysts all undertake work tasks where search forms a core part of their duties. In these instances, the search task is often complex and time-consuming and requires specialist expertise to identify relevant documents and insights within large domain-specific repositories and collections. Several studies have been made investigating the search practices of professionals such as these, but few have attempted to directly compare their professional practices and so it remains unclear to what extent insights and approaches from one domain can be applied to another. In this paper we describe the results of a survey of a purposive sample of 108 legal researchers, 64 recruitment professionals and 107 healthcare information professionals. Their responses are compared with results from a previous survey of 81 patent analysts. The survey investigated their search practices and preferences, the types of functionality they value, and their requirements for future information retrieval systems. The results reveal that these professions share many fundamental needs and face similar challenges. In particular a continuing preference to formulate queries as Boolean expressions, the need to manage, organise and re-use search strategies and results and an ambivalence toward the use of relevance ranking. The results stress the importance of recall and coverage for the healthcare and patent professionals, while precision and recency were more important to the legal and recruitment professionals. The results also highlight the need to ensure that search systems give confidence to the professional searcher and so trust, explainability and accountability remains a significant challenge when developing such systems. The findings suggest that translational research between the different areas could benefit professionals across domains.     

基于GED分布下EGARCH模型的SHIBOR方差时变性研究

对2012年1月4日至2013年12月31日的SHIBOR隔夜品种进行实证研究,结果表明：①SHI-BOR隔夜利率序列不服从正态分布,且具有尖峰厚尾及右偏的特征;②经过反复试算,发现在假设扰动项服从GED分布的情况下,AR（2）-EGARCH（1,1）-M模型能更好的拟合原序列,而且模型估计结果证明SHIBOR的波动存在反杠杆效应,说明“好消息”能比“坏消息”产生更多的波动.     

A cinetobacter lwoffii ChI-06合成几丁质酶抑制剂的发酵动力学研究

对Acinetobacter lwoffii ChI-06合成几丁质酶抑制剂的发酵过程和发酵动力学进行了研究.应用Logistic方程和Luedeking-Piret方程.得到了描述菌体生长、抑制剂合成及基质消耗的动力学模型.模型反映了该菌体合成抑制剂过程的动力学特征,模型值与实验数据拟合良好.     

HClaimE: A tool for identifying health claims in health news headlines

This study tackles the problem of extracting health claims from health research news headlines, in order to carry out veracity check. A health claim can be formally defined as a triplet consisting of an independent variable (IV – namely, what is being manipulated), a dependent variable (DV – namely, what is being measured), and the relation between the two. In this study, we develop HClaimE, an information extraction tool for identifying health claims in news headlines. Unlike the existing open information extraction (OpenIE) systems that rely on verbs as relation indicators, HClaimE focuses on finding relations between nouns, and draws on the linguistic characteristics of news headlines. HClaimE uses a Naïve Bayes classifier that combines syntactic and lexical features for identifying IV and DV nouns, and recognizes relations between IV and DV through a rule-based method. We conducted an evaluation on a set of health news headlines from ScienceDaily.com, and the results show that HClaimE outperforms current OpenIE systems: the F-measures for identifying headlines without health claims is 0.60 and that for extracting IV-relation-DV is 0.69. Our study shows that nouns can provide more clues than verbs for identifying health claims in news headlines. Furthermore, it also shows that dependency relations and bag-of-words can distinguish IV-DV noun pairs from other noun pairs. In practice, HClaimE can be used as a helpful tool to identifying health claims in news headlines, which can then be further compared against authoritative health claims for veracity. Given the linguistic similarity between health claims and other causal claims, e.g., impacts of pollution on the environment, HClaimE may also be applicable for extracting claims in other domains.     

基于进化博弈的高技术企业并购定价策略研究

在高技术企业并购浪潮下,为有效提升并购效率,提高企业并购收益,引入进化博弈理论,对高技术企业的并购定价策略进行研究。研究发现,高技术企业的并购中,主并企业的吸收能力将有效提升其平均期望收益;并购双方向接受策略进化受并购双方谈判破裂发生概率、报价以及目标公司对自身的估值影响;通过进化博弈推导出主并企业报价策略,当主并企业不断学习了解目标公司信息并根据报价策略进行报价时,并购效率和收益将能有效提升。     

Reliable automatic word spacing using a space insertion and correction model based on neural networks in Korean

Automatic word spacing in Korean remains a significant task in natural language processing owing to the extremely complex word spacing rules involved. Most previous models remove all spaces in input sentences and insert new spaces in the modified input sentences. If input sentences include only a small number of spacing errors, the previous models often return sentences with even more spacing errors than the input sentences because they remove the correct spaces that were typed intentionally by the users. To reduce this problem, we propose an automatic word spacing model based on a neural network that effectively uses word spacing information from input sentences. The proposed model comprises a space insertion layer and a spacing-error correction layer. Using an approach similar to previous models, the space insertion layer inserts word spaces into input sentences from which all spaces have been removed. The spacing error correction layer post-corrects the spacing errors of the space insertion model using word spacing typed by users. Because the two layers are tightly connected in the proposed model, the backpropagation flows are not blocked. As a result, the space insertion and error correction are performed simultaneously. In experiments, the proposed model outperformed all compared models on all measures on the same test data. In addition, it exhibited reliable performance (word-unit F1-measures of 94.17%～97.87%) regardless of how many word spacing errors were present in the input sentences.     

一种改善MC68HC908GP32单片机A/D转换性能的方法

以改善MC68HC908GP32的A／D转换性能为目的，给出了一个主要由MC68HC908GP52和ADS7815构造的电路，描述了电路的结构、工作原理，说明了A／D转换性能改善的结果。     

中国农业:报酬递增与"剩余之谜"

本文在综述我国农业增长"剩余之谜"研究基础上,从报酬递增角度考察农业发展,分析我国农业报酬递增的源泉,探讨农业发展中的逆报酬递增行为,最后提出实现农业报酬递增的政策含义。     

熄焦方式对焦炭质量影响的研究

熄焦方式对焦炭质量有重要的影响,本实验采用自行设计的熄焦装置研究不同熄焦方式对焦炭质量的影响。实验结果表明,湿法熄焦焦炭抗碎、耐磨及反应后强度较低,反应性较高;干法熄焦焦炭抗碎、耐磨及反应后强度较高,反应性较底;压力熄焦焦炭的各种性能介于湿法熄焦和干法熄焦之间。     

基于MAX2830的家用无线模块设计

随着无线网络的不断发展,无线家庭智能系统的研究与设计成为目前家电行业的主流方向之一。本文设计了一种基于MAX2830和MC68HC908GP52的家用无线模块。本模块可以用于家电控制系统与信息传输系统,为构建家庭智能系统打下基础。     

X波段宽带低噪声放大器设计

介绍与实现了一种X波段宽带低噪声放大器（LNA）。该放大器选用NEC公司的低噪声放大管NE3210S01（HJFET）,采用微带分支线匹配结构和两级级联的方式。利用ADS软件进行设计、优化和仿真。最后研制的放大器在10-13GHz范围内增益为（21.5±1）dB,噪声系数小于2 dB,驻波比小于1.8。     

中国桑属(桑科)新分类群

Three New species and one new variety of the genus Morus (Moraceae) are des-cribed from China. They are Morus gongshanensis, M. hastifolia, M. trilobata, M. mongolicavar. longicaudata.     

GSM900M/1800M双频系统的组网

主要介绍GSM900/1800M双频系统的组网相关内容。其中包括：GSM900/1800M双频系统的组网原理、组网的步骤及原则、组网方式的分析。