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Applied Data Science: Using Machine Learning for Alarm Verification 应用数据科学:使用机器学习进行报警验证

IF 0.1

ERCIM News

Pub Date : 2016-10-01 DOI: 10.21256/ZHAW-3785

Jan A. Stampfli, Kurt Stockinger

引用次数: 1

Cissus sicyoides: Pharmacological Mechanisms Involved in the Anti-Inflammatory and Antidiarrheal Activities. 西洋接骨木：参与抗炎和止泻活性的药理机制

IF 5.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

ERCIM News

Pub Date : 2016-01-23 DOI: 10.3390/ijms17020149

Fernando Pereira Beserra, Raquel de Cássia Santos, Larissa Lucena Périco, Vinicius Peixoto Rodrigues, Luiz Ricardo de Almeida Kiguti, Luiz Leonardo Saldanha, André Sampaio Pupo, Lúcia Regina Machado da Rocha, Anne Lígia Dokkedal, Wagner Vilegas, Clélia Akiko Hiruma-Lima

The objective of this study was to evaluate the pharmacological mechanisms involved in anti-inflammatory and antidiarrheal actions of hydroalcoholic extract obtained from the leaves of Cissus sicyoides (HECS). The anti-inflammatory effect was evaluated by oral administration of HECS against acute model of edema induced by xylene, and the mechanisms of action were analysed by involvement of arachidonic acid (AA) and prostaglandin E₂ (PGE₂). The antidiarrheal effect of HECS was observed and we analyzed the motility and accumulation of intestinal fluid. We also analyzed the antidiarrheal mechanisms of action of HECS by evaluating the role of the opioid receptor, α₂ adrenergic receptor, muscarinic receptor, nitric oxide (NO) and PGE₂. The oral administration of HECS inhibited the edema induced by xylene and AA and was also able to significantly decrease the levels of PGE₂. The extract also exhibited significant anti-diarrheal activity by reducing motility and intestinal fluid accumulation. This extract significantly reduced intestinal transit stimulated by muscarinic agonist and intestinal secretion induced by PGE₂. Our data demonstrate that the mechanism of action involved in the anti-inflammatory effect of HECS is related to PGE₂. The antidiarrheal effect of this extract may be mediated by inhibition of contraction by acting on the intestinal smooth muscle and/or intestinal transit.

本研究的目的是评估从西洋接骨木（Cissus sicyoides）叶子中提取的水醇提取物（HECS）的抗炎和止泻作用的药理机制。通过口服 HECS，对二甲苯诱导的急性水肿模型进行了抗炎效果评估，并通过花生四烯酸（AA）和前列腺素 E₂（PGE₂）的参与分析了其作用机制。我们观察了 HECS 的止泻效果，并分析了肠道蠕动和肠液积聚情况。我们还通过评估阿片受体、α₂肾上腺素能受体、毒蕈碱受体、一氧化氮（NO）和 PGE₂的作用，分析了 HECS 的止泻作用机制。口服 HECS 可抑制二甲苯和 AA 引起的水肿，还能显著降低 PGE₂的水平。该提取物还能减少肠道蠕动和肠液积聚，从而表现出明显的止泻活性。这种提取物能明显减少毒蕈碱激动剂刺激的肠道转运和 PGE₂诱导的肠道分泌。我们的数据表明，HECS 的抗炎作用机制与 PGE₂ 有关。这种提取物的止泻作用可能是通过作用于肠平滑肌和/或肠转运来抑制收缩。

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引用次数: 0

CREDENTIAL: Secure Cloud Identity Wallet 凭证:安全的云身份钱包

IF 0.1

ERCIM News

Pub Date : 2016-01-01 DOI: 10.18154/RWTH-2018-223393

Nicolás Notario, S. Krenn, Bernd Zwattendorfer, Felix Hörandner

引用次数: 1

Core Research and Innovation Areas in Cyber-Physical Systems of Systems 信息物理系统的核心研究与创新领域

IF 0.1

ERCIM News

Pub Date : 2015-10-08 DOI: 10.1007/978-3-319-25141-7_4

M. Reniers, S. Engell, H. Thompson

引用次数: 47

Interfaces to the Internet of Things with XForms 使用XForms实现物联网接口

IF 0.1

ERCIM News

Pub Date : 2015-04-01 DOI: 10.14337/XMLLONDON15.PEMBERTON01

S. Pemberton

htmlabstractXForms is a language for describing interfaces to data, designed at W3C by researchers from industry and academia. It is a declarative language, meaning it describes what has to be done, but largely not how. The interface it describes does not have to run locally on the machine producing the data, but can be run remotely over the network. Since Internet of Things (IoT) computers typically have little memory and are low-powered, this makes XForms ideally suited for the task. One of the unexpected successes of HTML was its adoption for controlling devices with embedded computers, such as home Wi-Fi routers. To make an adjustment to such a device, the user directs the browser to the IP address from which it is running and a small web server on the device serves up web pages that allow the user to fill in and submit values to change the working of the device. However, the tiny embedded computers that form part of the IoT typically have memory in kilobytes, not megabytes, and lack the power to run a web server that can serve and interpret web pages. This calls for a different approach. One approach is for the devices to serve up only the data of the parameters, so that those values can then be injected into an interface served from elsewhere. XForms [1], a standard that we have helped develop at W3C, is designed for exactly this type of scenario: although it is a technology originally designed for improving the handling of forms on the web, it has since been generalised to more general applications; version 2.0 is currently in preparation [2].

htmlstractxforms是一种描述数据接口的语言，由工业界和学术界的研究人员在W3C设计。它是一种声明性语言，这意味着它描述了必须做什么，但在很大程度上没有描述如何做。它所描述的接口不必在产生数据的机器上本地运行，但可以通过网络远程运行。由于物联网(IoT)计算机通常只有很少的内存和低功耗，这使得XForms非常适合这项任务。HTML的一个意想不到的成功之处在于，它被用于控制带有嵌入式计算机的设备，比如家庭Wi-Fi路由器。为了对这样的设备进行调整，用户将浏览器引导到它正在运行的IP地址，设备上的一个小型web服务器提供网页，允许用户填写和提交值以更改设备的工作。然而，构成物联网一部分的微型嵌入式计算机的内存通常以千字节为单位，而不是兆字节，并且缺乏运行可以提供和解释网页的web服务器的能力。这需要一种不同的方法。一种方法是设备只提供参数的数据，这样这些值就可以被注入到从其他地方提供的接口中。XForms[1]是我们在W3C帮助开发的一个标准，正是为这类场景设计的:虽然它最初是为改进web上的表单处理而设计的技术，但它已经被推广到更通用的应用程序中;2.0版本目前正在准备中。

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引用次数: 0

Secure and Efficient Wireless Sensor Networks 安全高效的无线传感器网络

IF 0.1

ERCIM News

Pub Date : 2015-04-01 DOI: 10.5167/uzh-116554

C. Schmitt, B. Stiller

There exists a multitude of implemented, as well as envisioned, use cases for the Internet of Things (IoT) and Wireless Sensor Networks (WSN). Some of these use cases would benefit from the collected data being globally accessible to: (a) authorized users only; and (b) data processing units through the Internet. Much of the data collected, such as location or personal identifiers, are of a highly sensitive nature. Even seemingly innocuous data (e.g., energy consumption) can lead to potential infringements of user privacy.

物联网(IoT)和无线传感器网络(WSN)存在大量已实现的和设想的用例。其中一些用例将受益于收集的数据对全球用户的访问:(a)仅授权用户;(b)通过互联网的数据处理单元。收集的许多数据，如位置或个人标识符，都是高度敏感的。即使是看似无害的数据(例如，能源消耗)也可能导致对用户隐私的潜在侵犯。

引用次数: 9

Optimizing Text Quantifiers for Multivariate Loss Functions 优化多元损失函数的文本量词

IF 0.1

ERCIM News

Pub Date : 2015-02-19 DOI: 10.1145/2700406

Andrea Esuli, F. Sebastiani

We address the problem of quantification, a supervised learning task whose goal is, given a class, to estimate the relative frequency (or prevalence) of the class in a dataset of unlabeled items. Quantification has several applications in data and text mining, such as estimating the prevalence of positive reviews in a set of reviews of a given product or estimating the prevalence of a given support issue in a dataset of transcripts of phone calls to tech support. So far, quantification has been addressed by learning a general-purpose classifier, counting the unlabeled items that have been assigned the class, and tuning the obtained counts according to some heuristics. In this article, we depart from the tradition of using general-purpose classifiers and use instead a supervised learning model for structured prediction, capable of generating classifiers directly optimized for the (multivariate and nonlinear) function used for evaluating quantification accuracy. The experiments that we have run on 5,500 binary high-dimensional datasets (averaging more than 14,000 documents each) show that this method is more accurate, more stable, and more efficient than existing state-of-the-art quantification methods.

我们解决了量化问题，这是一个监督学习任务，其目标是给定一个类，估计该类在未标记项目数据集中的相对频率(或流行度)。量化在数据和文本挖掘中有几个应用，例如在给定产品的一组评论中估计积极评论的普遍程度，或者在技术支持电话记录的数据集中估计给定支持问题的普遍程度。到目前为止，量化已经通过学习一个通用分类器来解决，计算已分配给该类的未标记项目，并根据一些启发式方法调整获得的计数。在本文中，我们抛弃了使用通用分类器的传统，转而使用监督学习模型进行结构化预测，能够生成直接针对用于评估量化准确性的(多元和非线性)函数优化的分类器。我们对5,500个二进制高维数据集(平均每个数据集超过14,000个文档)进行的实验表明，这种方法比现有的最先进的量化方法更准确、更稳定、更有效。

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引用次数: 75

Toward Automatic Data Curation for Open Data 面向开放数据的自动数据管理

IF 0.1

ERCIM News

Pub Date : 2015-01-01 DOI: 10.21256/zhaw-3643

Thilo Stadelmann, Mark Cieliebak, Kurt Stockinger

引用次数: 2

Preserving Linked Data 保存关联数据

IF 0.1

ERCIM News

Pub Date : 2014-09-30 DOI: 10.55630/dipp.2014.4.4

C. Meghini, Annalisa Molino, Francesca Borri, Giulio Galesi

PRELIDA (PREserving LInked DAta) is an FP7 Coordination Action funded by the European Commission under the Digital Preservation Theme.PRELIDA targets the particular stakeholders of the Linked Data community, including data providers, service providers, technology providers and end user communities. These stakeholders have not been traditionally targeted by the Digital Preservation community, and are typically not aware of the digital preservation solutions already available. So an important task of PRELIDA is to raise awareness of existing preservation solutions and to facilitate their uptake.At the same time, the Linked Data cloud has specific characteristics in terms of structuring, interlinkage, dynamicity and distribution that pose new challenges to the preservation community. PRELIDA organises in-depth discussions among the two communities to identify which of these characteristics require novel solutions, and to develop road maps for addressing the new challenges.PRELIDA will complete its lifecycle at the end of this year, and the talk will report about the major findings.

PRELIDA(保存关联数据)是由欧盟委员会在数字保存主题下资助的FP7协调行动。PRELIDA针对关联数据社区的特定利益相关者，包括数据提供商、服务提供商、技术提供商和最终用户社区。这些利益相关者传统上不是数字保存社区的目标，而且通常不知道已有的数字保存解决方案。因此，PRELIDA的一项重要任务是提高人们对现有保存解决方案的认识，并促进它们的采用。同时，关联数据云在结构化、互联性、动态性和分布性等方面具有独特的特点，对保存界提出了新的挑战。PRELIDA组织了两个社区之间的深入讨论，以确定哪些特征需要新的解决方案，并制定应对新挑战的路线图。PRELIDA将在今年年底完成其生命周期，讲座将报告主要发现。

引用次数: 0

Large Scale Image Retrieval Using Vectors of Locally Aggregated Descriptors 基于局部聚合描述子向量的大规模图像检索

IF 0.1

ERCIM News

Pub Date : 2013-10-02 DOI: 10.1007/978-3-642-41062-8_25

Giuseppe Amato, Paolo Bolettieri, F. Falchi, C. Gennaro

引用次数: 15

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