Search results for "EWS"
showing 10 items of 1197 documents
Viltus ziņu apkarošanas risinājumi Baltijas valstīs
2020
Darba tēma ir viltus ziņu apkarošanas risinājumi Baltijas valstīs. Darba mērķis ir noskaidrot, kā Baltijas valstīs risina jautājumus, lai ierobežotu manipulāciju ar komunikāciju infrastruktūru, radot, izplatot un pastiprinot viltus ziņas.Darba teorētiskajā daļā tiek izpētītas un aprakstītas teorētiskās nostādnes par viltus ziņām, definējumu dažādību, interneta vides izmaiņām un apskatīti viltus ziņu veidi. Darba empīriskajā daļā- izpētīti un aprakstīti valsts kā aktiera izmantotie instrumenti viltus ziņu apkarošanai- normatīvie akti, u.c. risinājumi; analizēti dažādu ekspertu viedokļi par iespējamiem viltus ziņu risinājumiem, analizēti sociālo tīklu viltus ziņu apkarošanas rīki; izpētīti ES…
Classification of Heart Sounds Using Convolutional Neural Network
2020
Heart sounds play an important role in the diagnosis of cardiac conditions. Due to the low signal-to-noise ratio (SNR), it is problematic and time-consuming for experts to discriminate different kinds of heart sounds. Thus, objective classification of heart sounds is essential. In this study, we combined a conventional feature engineering method with deep learning algorithms to automatically classify normal and abnormal heart sounds. First, 497 features were extracted from eight domains. Then, we fed these features into the designed convolutional neural network (CNN), in which the fully connected layers that are usually used before the classification layer were replaced with a global averag…
Stop the bleeding or weather the storm? crisis solution marketing and the ideological use of metaphor in online financial reporting of the stock mark…
2014
Introducing the concept of Crisis Solution Marketing (CSM), this research explores how metaphor pre-packages information, proposing “solutions” to “problems” they discursively construct in the media. These conceptual frameworks are capable of influencing how readers perceive and interpret news events, ultimately influencing their behavior as consumers and the financial decisions they make. This article explores the relationship between editorial positioning and ideology in financial news and the types or ontologies of metaphors used to describe the nature of the stock market via reporting on the stock market crash of 2008 in online news media. Results indicate a statistically significant p…
The Effects of the Financial Crisis on the Organizational Reputation of Banks: An Empirical Analysis of Newspaper Articles
2018
The recent financial crisis has triggered an intense debate about the role of banks in society, presumably changing the criteria used in the evaluation of organizations. Against this backdrop, we investigate the changing role of banks’ organizational features in shaping different dimensions of banks’ organizational reputation. Using the media as an important evaluator, we measure the reputational dimension of visibility based on the frequency of newspaper articles and the reputational dimension of favorability based on the sentiment of newspaper articles. Drawing on social judgment research for developing our hypotheses, we expect that organizational features such as financial performance a…
DEMAND Project: An algorithm for the assessment of the prosumers’ flexibility
2020
Demand side aggregation represents an important opportunity for ancillary services provision due to the potential that the coordinated management of distributed resources has on affecting power systems' operation. In this framework, the Aggregator has a main role and takes on different relationships with the other actors of the power system, usually becoming a mediator between the prosumers and the distribution system operator. The DEMAND project introduces a new point of view in demand side aggregation by proposing a new framework where the Aggregator is no more needed and prosumers can share and combine their flexibility in a new aggregation platform called Virtual Aggregation Environment…
DEMAND Project: Bottom-Up Aggregation of Prosumers in Distribution Networks
2018
The paper explains the concept of the DEMAND project, whose aim is to develop a technical framework for allowing a Bottom-Up aggregation of prosumers connected to the distribution grid. Load and generation aggregation is a very current issue given the great potential that the coordinated management of distributed resources has on power systems operation and design. The novelty in DEMAND is the absence of a physical aggregator and the recourse to a virtual aggregation environment (VAE) for allowing the exchange of information among the prosumers in order to provide a service to the DSO. After a general description of the research project, the paper presents the services that the aggregated c…
Laser-Induced Fluorescence Imaging of Paper Surfaces
1993
Laser-induced fluorescence imaging has been used to study the microstructure of paper surfaces. Pulses from a XeCl-excimer laser, 10 ns in duration at 308 nm, were used for excitation, and fluorescence was collected at 420 nm. The excitation spot diameter was approximately 20 µm, and the sampling interval 0.15 mm. Within an area of 5*5 mm2, 1023 sampling points were recorded to generate 3D fluorescence maps of paper surfaces. Papers containing fluorescence whitening agents (FWAs) gave the highest average fluorescence signals. Coated papers with no FW As show weaker signals than the base sheet. For some thirty different paper samples, an obvious correlation between the amount of coating and…
Mind the gap—deficits in our knowledge of aspects impacting the bioavailability of phytochemicals and their metabolites—a position paper focusing on …
2015
This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial-NoDerivs Licence.-- et al.
Discovering temporal relationships in databases of newspapers
1998
This paper is mainly dedicated to analyse the problem of discovering frequent temporal patterns in event sequences extracted from a large repository of newspapers. The proposed formalism and algorithms rely on Toodor, which is a document retrieval system that allows users to specify conditions over the structure, contents and temporal features of the stored documents. We develop in this work several algorithms for recognising frequent temporal patterns in terms of arc-consistency, which consist of discarding temporal occurrences that do not satisfy a temporal structure.
Victims or Aggresors? Framing Romanian Migrants and Crime in Two British Newspapers
2018
The research question at which the present article attempts to answer is: What are the British journalistic procedures used in representing migration and crime in the specific case of Romanian migrants? The article uses quantitative content analysis as the main method of research. The sample of texts was made up of 117 articles published in two (tabloid) British newspapers (the Daily Mail and the Daily Mirror) in the time-period January 1–December 21, 2015. The violent acts of Romanian migrants that were covered by the UK press were extremely diverse. They ranged from robbery, murder and begging to prostitution and medical malpractice. At the same time, Romanian migrants were portrayed not …