The effective transfer of information. Contemporary threats and challenges

2016 ◽  
Vol 61 (8) ◽  
pp. 79-90
Author(s):  
Grzegorz Kończak
Keyword(s):  
Social Issues ◽  
Relevant Information ◽  
Data Sets ◽  
Information Need ◽  
Computing Power ◽  
Effective Dissemination ◽  
Uncritical Acceptance ◽  
Effective Transfer ◽  
Transfer Of Information ◽  
To Receive

Computing power in recent decades was increasing steadily. Along with this, rise resources collected and transmitted data sets. Large collections of information need to enforce the selection by senders. At the same time it is not possible to receive all the generated information. The article presents the risks associated with uncritical acceptance of information on economic and social issues. Particularly helpful in the transmission of information to a mass audience may be the method of data presentation. Modern software enables to develop graphical presentation, which, through interaction with the user can contribute to effective dissemination of relevant information on socio-economic conditions.

scholarly journals Comparison of Different Analytical Methods for the On-Site Analysis of Traces at Clandestine Drug Laboratories

2021 ◽  
Vol 11 (9) ◽  
pp. 3754
Author(s):  
René Reiss ◽  
Frank Hauser ◽  
Sven Ehlert ◽  
Michael Pütz ◽  
Ralf Zimmermann
Keyword(s):  
Large Scale ◽  
Ambient Pressure ◽  
Relevant Information ◽  
Information Value ◽  
Site Analysis ◽  
Complex Information ◽  
Skilled Operator ◽  
Validation Parameters ◽  
Clandestine Laboratories ◽  
To Receive

While fast and reliable analytical results are crucial for first responders to make adequate decisions, these can be difficult to establish, especially at large-scale clandestine laboratories. To overcome this issue, multiple techniques at different levels of complexity are available. In addition to the level of complexity their information value differs as well. Within this publication, a comparison between three techniques that can be applied for on-site analysis is performed. These techniques range from ones with a simple yes or no response to sophisticated ones that allows to receive complex information about a sample. The three evaluated techniques are immunoassay drug tests representing easy to handle and fast to explain systems, ion mobility spectrometry as state-of-the-art equipment that needs training and experience prior to use and ambient pressure laser desorption with the need for a highly skilled operator as possible future technique that is currently under development. In addition to the measurement of validation parameters, real case samples are investigated to obtain practically relevant information about the capabilities and limitations of these techniques for on-site operations. Results demonstrate that in general all techniques deliver valid results, but the bandwidth of information widely varies between the investigated techniques.

scholarly journals Pulsar Discovery by Global Volunteer Computing: Fig. 1

Science ◽  
2010 ◽  
Vol 329 (5997) ◽  
pp. 1305-1305 ◽  
Author(s):  
B. Knispel ◽  
B. Allen ◽  
J. M. Cordes ◽  
J. S. Deneva ◽  
D. Anderson ◽  
...  
Keyword(s):  
Survey Data ◽  
Large Data ◽  
Large Data Sets ◽  
Volunteer Computing ◽  
Data Sets ◽  
Pulse Profile ◽  
Computing Power ◽  
Spin Period ◽  
Arecibo Observatory ◽  
Computer Power

Einstein@Home aggregates the computer power of hundreds of thousands of volunteers from 192 countries to mine large data sets. It has now found a 40.8-hertz isolated pulsar in radio survey data from the Arecibo Observatory taken in February 2007. Additional timing observations indicate that this pulsar is likely a disrupted recycled pulsar. PSR J2007+2722’s pulse profile is remarkably wide with emission over almost the entire spin period; the pulsar likely has closely aligned magnetic and spin axes. The massive computing power provided by volunteers should enable many more such discoveries.

Double exposure: a critical study of preservice teachers’ multimodal public service announcements

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Peggy Albers
Keyword(s):  
Preservice Teachers ◽  
Public Service ◽  
Teaching And Learning ◽  
New Literacies ◽  
Social Issues ◽  
Relevant Information ◽  
Public Service Announcements ◽  
Critical Study ◽  
Visual Discourse ◽  
The Media

AbstractAlthough a great deal of work has been done on the significance of new literacies in ELA teaching and learning, much less has been done on the area of analyzing critically the media that comprise digital projects created by textmakers. Composing with new literacies in mind requires that textmakers locate relevant information, design with particular media in mind that will convey their message, as well as anticipate what the viewer may want to see. However, with nearly unlimited access to images through various search engines, textmakers may be choosing images of convenience rather than content. In her work with preservice teachers, Albers invited them to create Public Service Announcements (PSAs) in response to social issues they saw at play in contemporary and classic literature. Framed in critical multimodal theory, Albers draws upon visual grammar and visual discourse analysis to analyze PSAs to understand how modal choices make visible stable and commonplace assumptions about adolescents, the intended audience for these PSAs.

scholarly journals A Survey of Arabic Named Entity Recognition and Classification

2014 ◽  
Vol 40 (2) ◽  
pp. 469-510 ◽  
Author(s):  
Khaled Shaalan
Keyword(s):  
Language Processing ◽  
Named Entity Recognition ◽  
Relevant Information ◽  
Arabic Language ◽  
Entity Recognition ◽  
Named Entities ◽  
Linguistic Resources ◽  
Named Entity ◽  
To Receive ◽  
Made In

As more and more Arabic textual information becomes available through the Web in homes and businesses, via Internet and Intranet services, there is an urgent need for technologies and tools to process the relevant information. Named Entity Recognition (NER) is an Information Extraction task that has become an integral part of many other Natural Language Processing (NLP) tasks, such as Machine Translation and Information Retrieval. Arabic NER has begun to receive attention in recent years. The characteristics and peculiarities of Arabic, a member of the Semitic languages family, make dealing with NER a challenge. The performance of an Arabic NER component affects the overall performance of the NLP system in a positive manner. This article attempts to describe and detail the recent increase in interest and progress made in Arabic NER research. The importance of the NER task is demonstrated, the main characteristics of the Arabic language are highlighted, and the aspects of standardization in annotating named entities are illustrated. Moreover, the different Arabic linguistic resources are presented and the approaches used in Arabic NER field are explained. The features of common tools used in Arabic NER are described, and standard evaluation metrics are illustrated. In addition, a review of the state of the art of Arabic NER research is discussed. Finally, we present our conclusions. Throughout the presentation, illustrative examples are used for clarification.

Monitoring the socio-economic development as a priority of official statistics

2015 ◽  
Vol 60 (8) ◽  
pp. 12-24
Author(s):  
Renata Bielak ◽  
Ewa Czumaj
Keyword(s):  
Economic Development ◽  
Information Support ◽  
Modern World ◽  
Information Share ◽  
Official Statistics ◽  
Socio Economic Development ◽  
High Quality Information ◽  
Effective Transfer ◽  
Transfer Of Information

The mission of official statistics is to provide credible, reliable, independent and high-quality information on the state and changes in society, the economy and the environment, meet the needs of domestic and foreign users. Fulfillment of this obligation is reflected in the work of the current official statistics and in development activities. Monitoring of the socio-economic development requires continuous adaptation of statistics to the changing reality and the description of the phenomena and processes. The role of official statistics in the modern world goes far beyond the implementation of the research. Measuring sustainable development and information support for development policy are tangible examples of the undertaken challenges. The form and manner of data presentation have increasing importance for the effective transfer of information. To answer the need to improve communication with users, the CSO is implementing new systems of information share. The article describes, among others, ”Strateg” and ”Knowledge Databases”.

I Know What You Need: Investigating Document Retrieval Effectiveness with Partial Session Contexts

2022 ◽  
Vol 40 (3) ◽  
pp. 1-30
Author(s):  
Procheta Sen ◽  
Debasis Ganguly ◽  
Gareth J. F. Jones
Keyword(s):  
Relevant Information ◽  
Document Retrieval ◽  
Context Information ◽  
Information Need ◽  
Search System ◽  
Query Log ◽  
Sequence Modeling ◽  
Joint Embedding ◽  
One Step ◽  
A Current

Reducing user effort in finding relevant information is one of the key objectives of search systems. Existing approaches have been shown to effectively exploit the context from the current search session of users for automatically suggesting queries to reduce their search efforts. However, these approaches do not accomplish the end goal of a search system—that of retrieving a set of potentially relevant documents for the evolving information need during a search session. This article takes the problem of query prediction one step further by investigating the problem of contextual recommendation within a search session. More specifically, given the partial context information of a session in the form of a small number of queries, we investigate how a search system can effectively predict the documents that a user would have been presented with had he continued the search session by submitting subsequent queries. To address the problem, we propose a model of contextual recommendation that seeks to capture the underlying semantics of information need transitions of a current user’s search context. This model leverages information from a number of past interactions of other users with similar interactions from an existing search log. To identify similar interactions, as a novel contribution, we propose an embedding approach that jointly learns representations of both individual query terms and also those of queries (in their entirety) from a search log data by leveraging session-level containment relationships. Our experiments conducted on a large query log, namely the AOL, demonstrate that using a joint embedding of queries and their terms within our proposed framework of document retrieval outperforms a number of text-only and sequence modeling based baselines.

scholarly journals ReactomeFIViz: the Reactome FI Cytoscape app for pathway and network-based data analysis

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 146 ◽  
Author(s):  
Guanming Wu ◽  
Eric Dawson ◽  
Adrian Duong ◽  
Robin Haw ◽  
Lincoln Stein
Keyword(s):  
Experimental Data ◽  
Data Analysis ◽  
Graphical Models ◽  
High Throughput ◽  
Interaction Network ◽  
Large Data ◽  
Relevant Information ◽  
Data Sets ◽  
Data Types ◽  
Biological Studies

High-throughput experiments are routinely performed in modern biological studies. However, extracting meaningful results from massive experimental data sets is a challenging task for biologists. Projecting data onto pathway and network contexts is a powerful way to unravel patterns embedded in seemingly scattered large data sets and assist knowledge discovery related to cancer and other complex diseases. We have developed a Cytoscape app called “ReactomeFIViz”, which utilizes a highly reliable gene functional interaction network and human curated pathways from Reactome and other pathway databases. This app provides a suite of features to assist biologists in performing pathway- and network-based data analysis in a biologically intuitive and user-friendly way. Biologists can use this app to uncover network and pathway patterns related to their studies, search for gene signatures from gene expression data sets, reveal pathways significantly enriched by genes in a list, and integrate multiple genomic data types into a pathway context using probabilistic graphical models. We believe our app will give researchers substantial power to analyze intrinsically noisy high-throughput experimental data to find biologically relevant information.

scholarly journals Conception of Geomagnetic Data Integrated Space

2019 ◽  
Vol 18 (2) ◽  
pp. 390-415
Author(s):  
Andrei Vorobev ◽  
Gulnara Vorobeva ◽  
Nafisa Yusupova
Keyword(s):  
Time Series ◽  
Relevant Information ◽  
Data Sets ◽  
Spatial Anisotropy ◽  
Automatic Integration ◽  
Final Sample ◽  
Geomagnetic Data ◽  
Consolidation Model ◽  
Discretization Step ◽  
Original Time

. As is known, today the problem of geomagnetic field and its variations parameters monitoring is solved mainly by a network of magnetic observatories and variational stations, but a significant obstacle in the processing and analysis of the data thus obtained, along with their spatial anisotropy, are omissions or reliable inconsistency with the established format. Heterogeneity and anomalousness of the data excludes (significantly complicates) the possibility of their automatic integration and the application of frequency analysis tools to them. Known solutions for the integration of heterogeneous geomagnetic data are mainly based on the consolidation model and only partially solve the problem. The resulting data sets, as a rule, do not meet the requirements for real-time information systems, may include outliers, and omissions in the time series of geomagnetic data are eliminated by excluding missing or anomalous values from the final sample, which can obviously lead to both to the loss of relevant information, violation of the discretization step, and to heterogeneity of the time series. The paper proposes an approach to creating an integrated space of geomagnetic data based on a combination of consolidation and federalization models, including preliminary processing of the original time series with an optionally available procedure for their recovery and verification, focused on the use of cloud computing technologies and hierarchical format and processing speed of large amounts of data and, as a result, providing users with better and more homogeneous data.

scholarly journals ACCELERATING DIGITALISATION IN BUSINESS PRACTICES FOR SOCIAL VALUE CREATION: A PERSPECTIVE FROM MALAYSIA

2020 ◽  
Vol 8 (2) ◽  
pp. 948-956
Author(s):  
Nur Syuhada Jasni ◽  
Haslinda Yusoff
Keyword(s):  
Value Creation ◽  
Urban Poor ◽  
Social Issues ◽  
Relevant Literature ◽  
Relevant Information ◽  
Social Value ◽  
Business Practices ◽  
Integrated Reporting ◽  
The Social ◽  
Social Value Creation

Purpose: The purpose of this study is to investigate the business practices in both; accelerating digitalisation and addressing social issues among Malaysian companies. Methodology: This study uses a sample consisting of four top telecommunication companies listed in the Bursa Malaysia. This study provides relevant literature on the social value creation concept from the corporate perspective. Besides, content analysis is used to extract relevant information from the particular sustainability report of the companies. Results: Results indicate that three out of four companies in the sample are very proactive in embracing the social value creation concept that aligned with national objectives and Sustainability Development Goals (SDG). Although, similarly, all companies addressed providing rural and urban poor communities’ digitalisation assistance as their social contributions. Implications: These results reveal input on the integration of accelerating digitalisation and addressing social issues, that focusing on social value creation. Management should understand that the financial implications has become an important component of social projects in line. Hence should establish effective strategic business strategy towards Integrated Reporting (IR) 4.0 that in reality has significant impact on the society and country.

Kształtowanie się zasad dostępu do zasobów cyfrowych w Stanach Zjednoczonych w ramach zarządu powierniczego

2020 ◽  
Author(s):  
Arkadiusz Wudarski
Keyword(s):  
Electronic Communication ◽  
Social Issues ◽  
State Level ◽  
The United States ◽  
Legislative Process ◽  
Final Approval ◽  
State Laws ◽  
Uniform Law ◽  
To Receive ◽  
Digital Assets

This paper describes the development of the principles of fiduciary access to digital assets in the United States. It focuses on US legislation before the drafting of the Revised Uniform Fiduciary Access to Digital Assets Act (RUFADAA) in 2015, examining the legal and social issues faced by American lawyers in their search for a balance between facilitating fiduciary access and respecting privacy. Special attention is paid to the first legislative initiatives at the state level as well as to two model regulations that represent opposite approaches to access to digital assets: the Privacy Expectation Afterlife and Choices Act (PEAC) and the Uniform Fiduciary Access to Digital Assets Act (UFADAA). The analysis considers the requirements for gaining access to the account of a deceased user, conflicts between legally protected interests and conflicting federal and state laws, and the meaning of such legal terms as digital assets, fiduciary, custodian, content of an electronic communication, et. al. The reasons for the failure of these acts to receive final approval are also analysed. Research is based on American doctrine, state and federal legal acts, documentation of the legislative process, and the work of expert groups, including, primarily, the Uniform Law Commission (ULC).  

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