Reviewerly/exHarmony huggingface dataset:
Building Updated Research Agenda by Investigating Papers Indexed on Google Scholar: A Natural Language Processing Approach

Under many circumstances, scholars need to identify new research directions by going through many different databases to identify the research gap and identify areas which have not yet been studied thus far. Checking all the electronic databases is tiresome, and one often misses the important pieces. In this paper, we propose to shorten the time required for identifying the research gap by using web scraping and natural language processing. We tested this approach by reviewing three distinct areas: (i) safety awareness, (ii) housing price, (iii) sentiment and artificial intelligence from 1988 to 2019. Tokenisation was used to parse the titles of the publications indexed on Google Scholar. We then ranked the collocations from the highest to the lowest frequency. Thus, we determined the sets of keywords that had not been stated in the title and identified the initial idea as a research void.
Making the Case for Unrestricted and Indiscriminate Data Collection: (a Prerequisite for the Success of Digital Economy)

Proposition: Data will not be protected, at all. In other words, there will be unrestricted and indiscriminate data collection. And, privacy will undergo fundamental change.I do acknowledge and, in fact, admit that the preceding assertions are very radical given the stance of European Union and the propounders of AI ethics in different countries of the world on the issues of data collection, data protection and privacy. Even the business corridors are no strangers to the issues. Perhaps that is why the issue of trustworthiness is being promulgated in relation to data. Regardless, I still maintain my stance, grounding it in the matrix of reality, reasoning, law, and economic structuring. Also, the companies that are in control of technology landscape are either ‘ignoring’ ethics or resorting to them to avoid concrete government regulations. After all, a peculiar thing about technological advancement is that it precedes law making. Some experts have warned that the data regulations as it acts against AI oriented enterprises, whether old or new. Needless to say, regulation of AI will finally become redundant and, hence, counterintuitive as an idea when we achieve AGI (Artificial General Intelligence). In my opinion, academic and public discourse on data protection and data privacy are a deliberate attempt at misdirection. The work being done by ethics experts is not only counterintuitive to the direction in which the technological developments are unfolding but is also a desperate attempt in skewing the said development. The paper explains that in further detail.Data collection should be unrestricted, indiscriminate, and absolute. Why do I say that? There are many reasons but, primarily, the most important of them could be put forth as follows: 1) Data is a pre-requisite for digital economy. 2) Data is already being collected in the absence of any substantial laws or discarding the laws, in essence3) More regulations do not conform to the principles of free market economy which the advanced economy stand with, in principle. 4) Regulations increase the cost in favour of a few and to the detriment of the rest of the players.
Introduction to the Special Issue on Logic Rules and Reasoning: Selected Papers from the 2nd International Joint Conference on Rules and Reasoning (RuleML+RR 2018)

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LibGuides: Online Learning: Library Services & Sources: Contact Us

Library Services and Sources for Online Classes Way to contact the library while we are closed
SYSTEM SUPPORT FOR ADAPTATION OF FOREIGN TRAINERS UNDER THE PROJECT “STUDENT UNITED NATIONS” PROJECT: CASE OF THE URAL FEDERAL UNIVERSITY NAMED AFTER THE FIRST PRESIDENT OF RUSSIA B.N. YELTSIN AS "BEST PRACTICE"

In Russian universities, the urgency of the problem of social adaptation is due to the fact that it is necessary to increase the level of competitiveness in the world arena in the field of international educational services. Of particular importance in this process is the system-support for the adaptation of foreign students on the basis of the conditions created specifically for it to unite the community of countries and peoples - the «Student Organization of United Nations». The article describes the system of working with foreign students with a view to their process adaptation at the Ural Federal University named after the first President of Russia B.N. Yeltsin, Yekaterinburg. The adaptation of foreign students to the new environment is influenced by many factors, culture plays an important role, since it determines the value orientations and guidelines in the development of the individual in this society.
Non-parametric ordinal regression under a monotonicity constraint

Compared to the nominal scale, ordinal scale for a categorical outcome variable has the property of making a monotonicity assumption for the covariate effects meaningful. This assumption is encoded in the commonly used proportional odds model, but there it is combined with other parametric assumptions such as linearity and additivity. Herein, we consider models where monotonicity is used as the only modeling assumption when modeling the effects of covariates on the cumulative probabilities of ordered outcome categories. We are not aware of other non-parametric multivariable monotonic ordinal models for inference purposes. We generalize our previously proposed Bayesian monotonic multivariable regression model to ordinal outcomes, and propose an estimation procedure based on reversible jump Markov chain Monte Carlo. The model is based on a marked point process construction, which allows it to approximate arbitrary monotonic regression function shapes, and has a built-in covariate selection property. We study the performance of the proposed approach through extensive simulation studies, and demonstrate its practical application in two real data examples.
A New Approach to Verifying and Sharing a Secret QR Code using Elliptic Curves

One of the modern applications of cryptography is the sharing of secrets in occurrence keys. Indeed, the need to establish a shared secret key in a multi-user system clearly remains a major problem of trust between users. Therefore, one solution is to share this secret key between users seamlessly. New technologies embedded systems such as sensor networks provide an ideal platform for sharing secrets. In addition, elliptic curves offer an adequate solution for reducing the size of keys, which is suitable for embedded systems. In this article, we propose an approach for sharing a secret leaked in a QR code adapted for a multiuser system, where each user has the ability to verify its share by an access structure. The system allows a recovery without loss of data in this case the QR code used.
PERMAINAN TRADISIONAL UNTUK MENINGKATAN HASIL BELAJAR MATEMATIKA PADA SISWA KELAS IVB SD KATOLIK MAUMERE 2

The background of this study is the low student learning outcomes, especially in Mathematics Subjects. The purpose of this study was to describe the application of traditional game strategies to be able to improve mathematics learning outcomes in IVB grade students in Maumere Catholic Elementary School 2. The subjects of this study were students in Maumere Catholic Elementary School 2. This research was a Classroom Action Research which lasted for two cycles consisting of planning, action, observation and reflection. Data collection techniques in this study were student evaluation questions consisting of 6 multiple choice questions and 4 descriptions to determine student learning outcomes and were supported by observation.The implementation of the action produced results, in the form of an increase in the learning outcomes of students in grade IVB at Maumere Catholic Catholic Elementary School 2 with a total of 20 students. In the first cycle students who completed the KKM as many as 9 students or 45% and 11 students who did not complete or 55% with an average grade of 69.64; in the second cycle that completed as many as 20 students or 100% and an average class of 90. By looking at the results of the two cycles above it can be concluded that the use of the Traditional Game strategy can improve student learning outcomes in mathematics subject matter flat build
Scalable Poisoning Against Regression-Type Edge Computing Applications via An Approximate Optimization Strategy

As the machine learning technology is being widely used in next-generation networks aided by edge computing, its security is of great concern for network maintenance and management. On the other hand, intelligent data processing techniques for enhancing the performance of next-generation networks are mainly used to reinforce resource management, control and optimization. Therefore, compared to learning a classifier for other application scenarios (e.g., pattern recognition, network intrusion detection, image identification, etc.), learning a good regressor via machine learning is more valuable for edge computing applications in next-generation networks. Hence, we revisit the security of polynomial regression learning in this paper and propose a scalable poisoning method against regression-type edge computing applications via an approximate optimization strategy. Specifically, we first analyze the existing gradientbased optimization poisoning method (called OptP) against linear regression model. Then, we extend the method and give a formal description of poisoning against polynomial regression with order greater than one. After that, we propose a greedy optimization strategy to obtain good adversarial examples for compromising polynomial regression-type applications. Finally, we demonstrate the superior performance of the proposed poisoning method by applying it to attack against two synthetic data sets and three public data sets from three different application scenarios.
Interagire con le aziende sul territorio

The dossier “Innovative Libraries” presents a review of the experiences of libraries that have in common the search for solutions aimed at redefining their role, with particular attention to the social dimension and new paths of access to knowledge. From a library experience conceived as a community hub, we move on to examine a case of involvement of local businesses in a cultural welfare perspective. The case of Turin is original. Here libraries offer to citizens hospitality in their offices to meet with professionals (accountants, notaries, etc.) to obtain advice, while in Rome and Milan there is a growing commitment to the prison population. The case of proximity libraries and condominium libraries is unique, while the promotion of active citizenship and the practice of listening is growing. Innovating also means transferring skills to students that enable them to operate in a Wikimedian environment or use the collections as an opportunity for conversation with the community. Innovation for academic libraries also passes through their ability to present themselves as digital and participatory thanks to the opportunities offered by the Third Mission and the opportunities offered to academic libraries to respond to the strong drives towards open science. Finally in a short article is described the new alliance between a public library and a library for patients of an oncology institute
A Human Aptitude Test for Object-Oriented Programming in the Context of AI and Machine Learning

Many current IT systems are implemented based on the object-oriented (OO) programming paradigm, which over more than two decades has proved to be one of the most successful mechanisms for code re-use and the most powerful extension mechanisms used in many software components and systems. Combined with a solid understanding of business principles and good communication skills, OO is still considered to be one of the core skills in the design of platforms and systems that drive our current IT landscape. The self-evaluation test, which we developed as an early indicator for prospective Business Information Technology (BIT) students, revealed insights about the skill level of beginners and serves as a starting point to reflect on abstraction skills in the context of the current digitalization and the increase in artificial intelligence (AI) components. The article explains the relevance of OO thinking on different levels of abstraction in the context of the lifecycle of current system architectures and provides an outlook on how these abstraction skills can be re-used when switching from an OO development paradigm into a new area where AI and machine learning will steadily increase their influence on the overall design of software systems.
INTUITIONISTIC INTERVAL VALUED MULTI FUZZY SUBFIELDS OF A FIELD

Adv. Math. Sci. J. Vol. 9, No. 4 Open Access INTUITIONISTIC INTERVAL VALUED MULTI FUZZY SUBFIELDS OF A FIELD M. Vasu DOI: https://doi.org/10.37418/amsj.9.4.55 Full Text Abstract Abstract In this paper, some Theorems of intuitionistic interval valued multi fuzzy subfield of a field are defined and noted and also some definitions, results and … page AMSJ9-N4-55 Read More »
A Pedestrian Detection and Tracking Method for Robot Equipped with Laser Radar

In order to detect and track pedestrians in complex indoor backgrounds, a pedestrian detection and tracking method for indoor robots equipped with Laser radar is proposed.Firstly, The SLAM (Simultaneous Location and Mapping) technology is applied to obtain 2D grid map for a strange environment; then, Monte Carlo localization is employed to obtain the posterior pose of the robot in the map; then, an improved likelihood field background subtraction algorithm is proposed to extract the interesting foreground in changeable environment; then, the hierarchical clustering algorithm combining with an improved leg model is proposed to detect the objective pedestrian; at last, an improved tracking intensity formula is designed to track and follow the objective pedestrian.Experimental results in some complex environments show that our method can effectively reduce the impact of confusing scenarios which are challenges for other algorithms, such as the motion of the chair, the suddenly passing by person and when the objective pedestrian close to the wall and so on, and can detect, track and follow pedestrians in real time with high accuracy.
SCIENTIFIC AND PEDAGOGICAL POTENTIAL OF UNIVERSITY AS A SUBJECT OF SCIENTIFIC DISCOURSE

The results of the analysis of the scientific works that directly or indirectly reveal the content of the concept of «scientific and pedagogical potential of university» are presented. Attention is focused on the features, properties and relationships of this pedagogical phenomenon described by different authors. According to the results of the analysis, it is concluded that this concept is in the process of shaping, so there is no terminological unity in relation to it. The analysis did not reveal the characteristics of the scientific and pedagogical potential of University as a system with certain elements and connections. The authors use the terms «scientific and pedagogical potential of higher education institutions», «scientific and pedagogical potential of higher education», «scientific and pedagogical personnel potential» as synonyms in various contexts. However, most of the authors describe scientific, personnel (pedagogical), and innovative potentials separately. Therefore, shaping the concept of «scientific and pedagogical potential of University» becomes relevant both in the scientific and practical sense. On the basis of the main tasks of institutions of higher education specified by Law of Ukraine «On Higher Education», it is concluded that the scientific-pedagogical potential of University, in addition to the mentioned constituents, is characterized by educational and research environment, resources and opportunities provided there. In shaping a comprehensive concept of «scientific and pedagogical potential of University», all of them should be taken into account. The features and characteristics identified during the research that are directly related to the scientific and pedagogical potential of University, the mission of universities as educational and scientific centers allowed us to build a construct of the concept under study. At the institutional level, its components are represented by University’s human resources; material, technical and information resources for teaching, training and research; by a network of structural divisions that provide training applicants for higher education as well as research activities of scientific – pedagogical workers; educational and managerial innovations; the volume and level of scientific results and educational services; channels and mechanisms of internal and external communication; the results of integration into the world educational and scientific space; and the activity of subjects of the educational process. We do not consider the concept of scientific and pedagogical potential to be the only and exhaustive one. However, the resources, characteristics, and indicators taken as a basis will contribute to further shaping the concept under study. It is predicted that the process of shaping the concept of «scientific and pedagogical potential of University» will continue with the participation of the general scientific community.
SOME THEOREMS IN INTUITIONISTIC MULTI FUZZY SUBFIELDS OF A FIELD

Adv. Math. Sci. J. Vol. 9, No. 4 Open Access SOME THEOREMS IN INTUITIONISTIC MULTI FUZZY SUBFIELDS OF A FIELD M. Vasu DOI: https://doi.org/10.37418/amsj.9.4.54 Full Text Abstract Abstract In this paper, some properties of intuitionistic multi fuzzy subfield of a field are defined and studied. Also some definitions, results and Theorems are … page AMSJ9-N4-54 Read More »
An Overview of Time Estimation in the Appraisal of Completeness for Software

The completeness appraisal of software is performed in various forms, such as assessing the completion level in the development process, calculating the defect rate, estimating the development cost, and calculating the redevelopment cost.Along with this, the problem that is often dealt with is estimation of the development time.Even in a dispute over completeness due to delays in software development, issues of calculating an appropriate development time required to develop a delivery software or a development time required for change requests are often included in the appraisal request.In this paper, we introduce the procedure and method for estimating the appropriate project time of software development so that the appraiser can be applied to the appraisal work for determining the completeness.The method is based on the manual for calculating the appropriate project period of software development project.
The use of digital pedagogic in forest related higher education in Vietnam

Abstract The article is devoted to the study of the application in practice of the digital pedagogic in the forest higher education in Vietnam. In the article, the problems of higher forest education development in Vietnam are considered. The problems associated with the organization of an effective training process for the forest sector specialists have been highlighted. The urgency of raising the qualification and competence of specialists of the forest industry by using innovative teaching methods in training is justified. Possibilities of the use of distance education technologies for the training of students and the improvement of professional skills of workers of the enterprises of the forest sector are considered.
Simulating Cloud Environment in Single Host Machine by Applying Virtual Switches in VMware

Computer virtualization in its simplest form is where one physical Server simulates being several separate servers and it allows one server to handle various functions or processes.It enables a single system to concurrently run multiple isolated virtual machines (VMs), operating systems or multiple instances of a single operating system and It minimizes resource requirements of hardware and software, minimizes power consumption, increases utilizations, maximizes hardware processing power, minimizes the work costs in the data center and maximizes the usage of available resources.Virtualization is a partitioning of single physical server into multiple logical servers.This paper work highly focuses on the configuration of virtual switch, Virtual Bridge, Virtual Host adapters and NAT devices.This paper work is implemented by using one host computer, one virtual bridge, two virtual Ethernet switches and three virtual machines.
Storyboarding the Virtuality: Methods and Best Practices to Depict Scenes and Interactive Stories in Virtual and Mixed Reality

Storyboarding is a cinematic prototyping technique to visualize settings, event sequences, dialogues & character depictions. Interactive VR/MR experiences benefit from storyboarding as part of the creation process, yet free movement & immersive 3D introduce challenges. Techniques to visualize 3D settings are explored with methods to conduct traditional storyboarding while requiring multiple viewpoints within a single timestep are elaborated. This is possible w/ perspective scene views. Even with 3D prototyping tools, it is important to maintain practices which optimize VR storyboarding and maintain spatial efficiency, allow storyboards to be hand drawn and be intuitive to read. A powerful solution is to bind several perspectives together to represent a specific time while reverting to a traditional single viewpoint when not necessary, therefore balancing three dimensionality, spatial efficiency & ease of creation.
The future of interlinked, interoperable and scalable metadata

With the growing diversity of information resources the emphasis on data-centric applications such as big data, metadata, semantics and ontologies has become central. This editorial paper presents a summary of recent developments in metadata, semantics and ontologies - focusing in particular on metadata enriching, linking and interoperability. National libraries and archives are devising new bibliographic models and metadata presentation formats. Bibliographic metadata sets are being made available using these new data formats such as RDF. The new formats are aiming to represent data in granular structures and define unique identification protocols such as URIs. The paper concludes by introducing the five papers included in the special issue. The papers in this special issue present novel approaches to metadata integration, interoperability frameworks, re-use of metadata ontologies and methods of metadata quality analysis.
Blockchain and other distributed ledgers

A blockchain is a distributed database that contains sequentially interlinked clusters of transactions (‘blocks’) with tokens that follow the rules of a specific trust protocol. This chapter discusses Bitcoin ‘under the hood’. The reason for giving an in-depth discussion of Bitcoin is that its underlying blockchain technology is extremely well thought out and has served as an example or at least as the main source of inspiration for most of the blockchain applications as we currently know them. The Bitcoin blockchain provides a mechanism for creating electronic money that can be trusted and for that reason used without having a central authority in place. The obvious question then arises who creates new Bitcoins if there is no central authority. Oracles are the measurement systems that collect data from real life to feed these into a distributed ledger and that receive data from distributed ledgers to initiate pre-defined actions in real life.