Historical Development of Archiving Models to Preserve University Archives

The chapter provides historical development of archives and records management models. A records management model has been developed by scholars and institutions. The models were created to assist organizations to navigate, benchmark, and improve records management programs. They were also applied to implement records and archives management programs in most organizations. Nevertheless, achieving consensus on internationally agreed theories for the records and archives management theories was not an easy task and part of the reasons for this layer with different theoretical perspectives.

Including Shareholders to Your Private Practice in Oral Surgery and Dentistry: Ukrainian Laws

Dental clinic/office launch and development is non-easy task, which require not only a lot of efforts but also some level of the investments, especially for the commercial real estate and expensive equipment. And very often the amount of finances which one person or family is bringing to business may not be sufficient. Including of shareholders can help to reach that goal. Including the partners (ie, cofounders or shareholders) to your private clinic/ office in a legal form of Limited Liability Company (LLC) are possible upon two stages: (1) upon the business launch and (2) upon the business existence. The second variant is more complicated and has to be analyzed.

All unicyclic graphs of order n with locating-chromatic number n-3

<p class="p1">Characterizing all graphs having a certain locating-chromatic number is not an easy task. In this paper, we are going to pay attention on finding all unicyclic graphs of order <em>n</em> (⩾ 6) and having locating-chromatic number <em>n</em>-3.</p>

Editorial

To create a scientific journal seems to be an easy task! Accordingly some estimations [1], humankind has already published more than 50 million scientific articles from the earliest of times to this day! Considering a more recent period, we are publishing around 1.3 articles every minute and some estimations point to 25,000 active journal titles! Numbers do not lie, but misguided interpretations may lead us to false conclusions! ... ... Thus, this issue of IJHDR brings to its readers rich materials to stimulate serious discussions about HDs. It is a small, but representative sample of the diversity inherent to this subject. Both IJHDR and the HD scientific community are undergoing a process of growth aiming at attaining a higher status among their peers. This process might not yet translate into “statistically significant” results, but the tendency is already visible! Enjoy IJHDR!

Orthodox and Contemporary Techniques at Constructing of the Monument. Image, Heroics, Plot

Examining the monument from a visual and conceptual point of view is an interesting but not easy task. The motivations for the construction of a monumental work of a memorial nature can be many and varied. Moreover, it is possible that there are connections between the various media for visual expression in the field of art and the specifics of the sculptural genre. Photography, painting, drawing and literature build images that form the basis for the creation of sculpture, both monumental and easel.

Using Zero-Offset VSP to Identify Interbed Multiples Generators, A Case Study from South Oman

The presence of interbed multiples is a serious concern in surface seismic processing and interpretation. Its impact is huge especially if they are masking the desirable primary reflections such as the targeted reservoirs area. The conventional demultiple methodologies such as stacking, and deconvolution often fail to suppress all the interbed multiples. Therefore, a need for other measurement is crucial to eliminate the remaining ones (Burton and Lines, 1997). There are several approaches, data-driven or model-driven, currently available to predict the interbed multiples. However, they require an accurate identification of the multiple generators (Lesnikov and Owus, 2011). The identification of the origin of these multiples seems to be the most effective solutions to remove them, however it is not an easy task. The allure of Zero Offset Vertical Seismic Profiles (ZOVSPs) in having the receivers placed close to the subsurface horizons, allow both upgoing and downgoing wavefields to be recordable and separable. It's the combination of short window and long window deconvolution operators which are derived based on our knowledge of downgoing wavefield which help us to determine the multiples generators at their exact depths in the subsurface. This paper demonstrates how Zero offset VSP successfully helped to identify the major multiples generators in one of the exploratory fields in south Oman. These generators then used as an input to demultiple technique named as Extended Interbed Multiple Prediction (XIMP) that eliminates the multiples within surface seismic. As the result of the multiple elimination, the seismic to well tie tremendously improved and the reliability of the overall horizon interpretation is enhanced.

ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart

Chart is one kind of ubiquitous information, which is widely utilized and easy for people to understand. Due to there are so many different kinds and different styles of charts, it is not an easy task for a computer to recognize a chart, as well as to redraw the chart or redesign it. This study proposes a three-stage method to chart recognition: analyze the classification of charts, analyze the structure of charts, and analyze the content of charts. When classifying charts, we choose ResNet-50. When recognizing the structure and content of charts, we use different deep frameworks to extract key points based on different types of charts. Besides, we also introduce two datasets, UCCD and UCID, to train deep models to classify and recognize charts. Finally, we utilize some traditional geometric methods to obtain an original table of a chart, so we can redraw it.

Spotting fake in the news: an easy task?

Fake news is a widespread element of the nowadays news websites. The research focuses on students’ abilities to detect fake news stories. 72 % of respondents successfully identified fake texts. The experiment proves that students concentrate on reading texts carefully, check their credibility, facts and pictures that accompany news texts. Students believe that among linguistic features that contribute to creating fake news texts there is repetition of lexemes, illogical structure of narration, exaggeration, confusing numbers. It was also pointed out that photos do not illustrate information given in fake texts.

Challenges of Quantifying PRISM 2.0 and Tablet Use

As with the PRISM 1.0 trial, an important outcome of the PRISM 2.0 trial is use of the PRISM system and use of the PRISM system compared to the control condition (a standard tablet without the PRISM software). Frequent use over time is an important measure of system success. Further, use data provide key measures of system usefulness and usability. What features do participants use most and how often? Within those features, what activities do they engage in? What are the patterns of use throughout the trial, and how does PRISM system use compare to the control condition? However, quantifying use is not an easy task. This talk presents the challenges of quantifying use of a complex, multi-faceted system, and of making meaningful comparisons in use between two very different systems. Analysis approaches and solutions are discussed.

Detection and Localization of Failures in Hybrid Fiber–Coaxial Network Using Big Data Platform

Modern HFC (Hybrid Fiber–Coaxial) networks comprise millions of users. It is of great importance for HFC network operators to provide high network access availability to their users. This requirement is becoming even more important given the increasing trend of remote working. Therefore, network failures need to be detected and localized as soon as possible. This is not an easy task given that there is a large number of devices in typical HFC networks. However, the large number of devices also enable HFC network operators to collect enormous amounts of data that can be used for various purposes. Thus, there is also a trend of introducing big data technologies in HFC networks to be able to efficiently cope with the huge amounts of data. In this paper, we propose a novel mechanism for efficient failure detection and localization in HFC networks using a big data platform. The proposed mechanism utilizes the already present big data platform and collected data to add one more feature to big data platform—efficient failure detection and localization. The proposed mechanism has been successfully deployed in a real HFC network that serves more than one million users.