Reviewerly/exHarmony huggingface dataset:
Enhancing Internet Penetration for Foreign Direct Investment in Sub-Saharan Africa

This paper explores the effect of internet penetration on foreign direct investment. This study uses a panel dataset of all the 48 Sub-Saharan African countries, which is extracted from World Bank database for the period 2000-2018. This study employs three distinct regression techniques such as Ordinary Least Square (OLS), Fixed Effect Regression (FE) and Generalized Moment of Method (GMM). Ordinary Least Square and Fixed Effect Regression tends to be biased and inconsistent. Therefore, the Generalized Methods of Moment estimator eliminate the stated effects alongside with the time-invariant regressors. The subsequent findings are recognized: (i) the coefficient estimates of the internet penetration on foreign direct investment is positive and statistically significant; (ii) the net effect of both internet penetration has positive on the FDI inflows. In the lights of the established findings, this study recommends that the governments in the region should implement policies that could help enhance the usage and penetration of technology.
Enhancing one’s Career Prospects: Primary Goals of all Individuals

The individuals, belonging to all communities, categories and backgrounds have recognized the meaning and significance of education. In addition, they have acquired an efficient understanding of significance of good careers in their lives. The individuals are getting enrolled in higher educational institutions as well to pursue bachelors, masters and doctoral programs. They have formed the viewpoint that when one is able to acquire higher education, they will be able to acquire reputed and well-paid employment opportunities. In this manner, one will be able to sustain one’s living conditions in an adequate manner and enhance one’s career prospects. Hence, it is of utmost significance for the individuals to augment their knowledge and competencies in terms of various factors. When the individuals are wholeheartedly dedicated towards the achievement of goals and enhancement of career prospects, one needs to be professional in conduct. When there are occurrence of any types of problems and challenges, it is essential for the individuals to remain calm. Furthermore, they need to deal with other individuals in a polite and decent manner. In enhancing one’s career prospects, there are number of factors in terms of which the individuals need to be aware. Therefore, one is able to understand that enhancing one’s career prospects is regarded as one of theprimary goals of all individuals. The main concepts that are taken into account in this research paper are, ways of enhancing one’s career prospects, strategies adopted in achieving career goals and role of professionalism in enhancing one’s career prospects.
ИНСТРУКЦИЯ ДЛЯ ЭКСПЕРТНОГО АНАЛИЗА И КЛАССИФИКАЦИИ ДОСТОВЕРНОСТИ ПОДОЗРИТЕЛЬНЫХ ПУБЛИКАЦИЙ НОВОСТНОГО ХАРАКТЕРА

This article proposes an approach to expert analysis of the corpus of journalistic texts. From bibliographic and sociological survey, we determined the indicators for assessing the probable reliability of a news media text. We conducted the analysis of the factors, which was taken into account when formulating expert assessment indicators to classify the reliability of doubtful news articles. We drew up a questionnaire and a framework for expert analysis of the reliability of a news media text.
Library & Cultural Services: Library Plugins: LibKey

Lean library allows quicker and easier access to library resource, helping you access the content you need.
DEVELOPING A WEB-BASED LEARNING MEDIA ON MAHAROH ISTIMA IN MAN 1 KOTA KEDIRI

The use of learning media on Maharoh Istima is very essential to promote students’ listening skills. Learning media used by teachers used to be ineffective due to the students’ heterogenous listening proficiency. That’s why, it is needed to develop an autonomous and flexible learning media to promote students’ listening skill which can be implemented anytime and anywhere. This Research and Development study employed a developmental method called ADDIE. The media produced was validated by media and material experts using a Likert Scale for analysis. The study produced a website http://belajaristima.com/ validated by the media expert in 92,30 % and the material expert in 97,27 %. From the validation, it is said that the media is valid and can be implemented as a learning media.Keywords:Maharoh Istima, Website, Learning Media.
Collaborative Software Modeling in Virtual Reality

Modeling is a key activity in conceptual design and system design. Through collaborative modeling, end-users, stakeholders, experts, and entrepreneurs are able to create a shared understanding of a system representation. While the Unified Modeling Language (UML) is one of the major conceptual modeling languages in object-oriented software engineering, more and more concerns arise from the modeling quality of UML and its tool support. Among them, the limitation of the two-dimensional presentation of its notations and lack of natural collaborative modeling tools are reported to be significant. In this paper, we explore the potential of using Virtual Reality (VR) technology for collaborative UML software design by comparing it with classical collaborative software design using conventional devices (Desktop PC, Laptop). For this purpose, we have developed a VR modeling environment that offers a natural collaborative modeling experience for UML Class Diagrams. Based on a user study with 24 participants, we have compared collaborative VR modeling with conventional modeling with regard to efficiency, effectiveness, and user satisfaction. Results show that the use of VR has some disadvantages concerning efficiency and effectiveness, but the user's fun, the feeling of being in the same room with a remote collaborator, and the naturalness of collaboration were increased.
Resource Optimization and Dynamic Workload Prediction Strategy for Large Scale Cloud Environment

Cloud computing is a ubiquitous computing paradigm which eliminates the technical obstacles which the organizations have to deal with and provides IT services on-demand. Cloud computing is a cost-effective model for provisioning services and makes the ICT management effective in dealing with real-world workloads. It is becoming popular since it provides better usability at a lower cost leading to higher utilization and better management. Clustering based approach is used for the allocation of virtual machine to the incoming request. Here in the proposed system a hybrid approach is used with kernel based fuzzy C-means clustering mechanism with Bayesian prediction for the provisioning of resources in the heterogeneous cloud environment. The results are optimized with particle swarm optimization. Hence the total average waiting time is minimized and the results are evaluated using Cloudsim toolkit and the results reveals that the hybrid system achieves better performance when compared to the existing technology.
Current situation and some associated factors with reading books of full-time bachelor students of Hanoi University of Public Health in 2019

Objective : Reading is a crucial academic behavior, which directly affects the formation of personality and develops people's thinking. In the higher education environment, reading culture helps students acquire new knowledge quickly and effectively. However, in recent years, young people and students tend to be lazy to read books, afraid of reading academic books while prefer reading comics and novels. At the same time, the dominance of the internet and audio-visual equipment makes reading in schools and universities become less attractive. This study was conducted with two objectives: (1) To describe the current situation of reading culture; and (2) To identify some factors affecting the reading culture of full-time bachelor students in Hanoi University of Public Health in 2019. Thereby, contributing to raise students' awareness about the roles of reading and providing information to help improving the quality and performance of the university’s library. Methods: The study was conducted on 420 full-time bachelor students from the first year to the fourth year, belonging to four majors of the Hanoi University of Public Health in 2019. Main findings: The study results showed that among 420 full-time bachelor students, 41.0% read books on a regular basis and 80.0% liked reading books. With regression bionary logistic analasys, associated factors with reading frequency includes: Going to library weekly (OR=1,87; p=0,004; CI95%: 1,22 – 2,84) and Completed reading the document assigned by teachers (OR=1,61; p=0,043; CI95%: 1,01 – 2,55). In addition, students who were reading addiction were likely to read all the book assigned, which was higher than the students who did not like reading. Conclusions: With full-time Bachelor students at Hanoi University of Public Health, percentages of students with frequent reading behavior were not high in general. However, it could be seen that the reading behavior of students was influenced by the teachers’ activities. Therefore, teachers should enhance checking books and course materials that students have read before classes as well as setting a criteria on the minimum number of academic books students should read while doing their assignments so that students are more aware of the importance of academic reading while studying at university. Keywords: reading books, college students, current situation, associated factor
It is only for your own good, or is it? Ethical Considerations for Designing Ethically Conscious Persuasive Information Systems

Persuasive designs, including gamification and digital nudging, have become well renowned during the last years and have been implemented successfully across different sectors including education, e-health, e-governance, e-finance and general information systems. In this regard, persuasive design can support desirable changes in attitude and behavior of users in order to achieve their own goals. However, such persuasive influence on individuals raises ethical questions as persuasive designs can impair the autonomy of users or persuade the user towards goals of a third party and hence lead to unethical decision-making processes. In human-computer interaction this is especially significant with the advent of advanced artificial intelligence that can emulate human behavior and thus bring new dynamics into play. Therefore, we conduct a systematic literature analysis with the goal to compile an overview of ethical considerations for persuasive system design, derive potential guidelines for ethical persuasive designs and shed light on potential research gaps.
Alert! Treating the language game in competitive interaction seriously

Competitive dynamics research has recently conceptualized, in line with Wittgensteinian tradition, competitive interaction between rival firms as a “language game” – interaction in which speech acts play a visible and influential role. However, extant competitive dynamics research comprises two separate streams of research: the language game school which focuses on rivalry as verbal challenges and responses, and the traditional, theoretically more developed school which studies rivalry as an exchange of “concrete” actions while occasionally including a bulk “signaling” category for speech acts. Our purpose in this paper is to lay groundwork for rigorous and nuanced theorization about why and how companies use speech acts. We present an initial attempt to bring the language school of competitive dynamics research to an equal footing with the traditional school.
THE ROLE OF COMPUTER GAMES IN DEVELOPING LEARNING AUTONOMY DURING COVID 19 PANDEMIC

1 Financial University under the Government of the Russian Federation (RUSSIAN FEDERATION)2 Moscow State Linguistic University (RUSSIAN FEDERATION)
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice

Necessity and sufficiency are the building blocks of all successful explanations. Yet despite their importance, these notions have been conceptually underdeveloped and inconsistently applied in explainable artificial intelligence (XAI), a fast-growing research area that is so far lacking in firm theoretical foundations. Building on work in logic, probability, and causality, we establish the central role of necessity and sufficiency in XAI, unifying seemingly disparate methods in a single formal framework. We provide a sound and complete algorithm for computing explanatory factors with respect to a given context, and demonstrate its flexibility and competitive performance against state of the art alternatives on various tasks.
CRIMES CIBERNÉTICOS E A LEGISLAÇÃO BRASILEIRA

Since the advent of the internet there have been many discussions about internet security. Before, what was inaccessible for the majority of the population has become the most used tool by humanity, whether for entertainment, research, shopping or work. In Brazil, the internet helps thousands of people in their daily lives, but unfortunately many use it as a tool for illicit purposes. Taking into account that our legislation is unable to adequately support these cases due to the historical context in which it was created, it is necessary to change our legislation as well as the creation of new legislative norms to help the judgment of these occurrences more accurately, removing the false sense of impunity that the network generates.Keywords: Historical context; Cyber ​​Crime; impunity; Internet;Brazilian legislation.
Identification Of The Innovation Practices Factors In Pedagogy In High School Education

Research in ​​educational innovation has generally focused on teaching practices. Innovation in our society carries many identities. In the collective imagination, it refers to our own representation of what is new. In our research work, we have focused on identifying the factors of innovation in the field of qualifying secondary education. We used a questionnaire of 78 items, structured in 5 areas: the conditions, the moments, the reasons, the domains, and the objects of experimentation of the new actions in teaching-learning. This questionnaire is administered to a sample of 149 teachers. We proceeded by a descriptive and exploratory research of mixed qualitative and quantitative type) The results of which showed the existence of personal factors and those which are in relation to the context and the working conditions in educational establishments, and which are points of reflection on the logic of school innovation. We can deduce that an analysis of the relationships that teachers have with innovation opens heuristic perspectives in terms of research and training in education.
Sum-Product Laws and Efficient Algorithms for Imprecise Markov Chains

We propose two sum-product laws for imprecise Markov chains, and use these laws to derive two algorithms to efficiently compute lower and upper expectations for imprecise Markov chains under complete independence and epistemic irrelevance. These algorithms work for inferences that have a corresponding sum-product decomposition, and we argue that many well-known inferences fit their scope. We illustrate our results on a simple epidemiological example.
Causal reasoning under time pressure: testing theories of systematic non-normative reasoning patterns

Author(s): Kolvoort, Ivar R; van Maanen, Leendert | Abstract: While research indicates that people are skilled causal reasoners, systematic deviations from the normative causal Bayesian network model have been observed. These include Markov violations, failures to ‘explain away’, and conservative responding. Different processes have been posited to account for these violations: sampling, associative reasoning, and heuristics. These processes entail effects of response time. To test the relationships between these theories, normative violations, and reasoning time we conducted a causal reasoning study employing time pressure manipulations and response time measurements. Our results show that time pressure decreases overall accuracy. Crucially, we find that time pressure does not affect the magnitude Markov independence violations. This is not what many existing explanations would predict. We find evidence that participants’ responses result from two separate cognitive processes and that time pressure modulates their relative contribution to responses. Hence we provide an explanation of non-normative reasoning patterns based on a mixture of cognitive processes.
Privacy in the New Normal: The Implications of Covid-19 Tracking and Tracing Technologies on Privacy and Cybersecurity

This article positions the deployment of tracking and tracing technologies as a continuation of the pattern of securitized response to the COVID-19 pandemic. It unpacks the privacy concerns in the collection, processing, and use of COVID-19 data vis-a-vis the different forms of privacy breaches. Further, it proceeds to highlight the compatibility and tensions between values central to cybersecurity practices to provide a nuanced understanding of the implications of tracking and tracing technologies on privacy and cybersecurity. In doing so, it seeks to contribute to evaluating the narratives of privacy and cybersecurity in relations to pandemic securitization and providing more nuances to the privacy-security debate.
The effect of using Imperial competitive algorithm (ICA) in energy optimization of train by considering the track gradients

Public transportations have the most important role in the development of modern societies. So the existence of traffic in the modern societies caused different kinds of problems and difficulties in these societies. However the rail transport has a positive effect on the passengers’ movements and even goods. It is necessary to examine different factors of this type of transport such as travel convenience, time of travel and the amount of energy consumption in order to enhance its performances. One of the best methods in the reduction of energy consumption process is implementing the optimized profile of train speed. There are a variety of algorithms and methods based on the energy efficiency. This thesis aims at finding a linear hypothetical model with selective data considering dynamic motion of train including slope of the track and examining 3 stations with the lowest and highest slope , with 3varibales (1,3and5) using imperialist competitive algorithm (ICA) in MATLAB and programming coding in M file to get optimized speed profile which results in less fuel consumption. Finally the results taken from ICA and genetic method will be compared with regard to the number of recourse to the cost function and convergence speed.
Code Mixing Used in Students’ Conversation in Informal Setting

The writer is interested to do a study on code mixing used in informal conversation done by the students. This study is conducted to identify code-mixing indicators used by the students in informal setting. There were some indicators in using code-mixing in a conversation. However, a sentence is not contained all the indicators. The method used in this study was descriptive method. The population used in this study is the informal conversation setting of the second year students and took ten informal conversation setting of English Education Department Universitas Islam Al-Ihya Kuningan. the writer used transcripts known as recording and transcribing using these following procedure: a) determining the objectives; b) determining the population and samples; c) recording the data from the samples; d) transcribing the data; e) analyzing the transcript and f) drawing conclusion. From the data gained, the researcher found that code mixing used in informal conversation indicates that there is no priorities one language in certain time. In this case, the use of code mixing is a media for students in improving their speaking ability.
Improving the security of the Knapsack Cryptosystem by using Legendre Symbol

In this paper, we present a new cryptosystem based on combining the Knapsack cryptosystem with the Legendre symbol. This combination provides the Knapsack cryptosystem with the feature of using two different super-increasing sequences to generating the keys. The results show that the proposed cryptosystem is secure against the LLL algorithm and Shamir’s attacks because it uses two different public keys instead of only one key as in the standard cryptosystem. Moreover, the comparison of the proposed cryptosystem with the standard cryptosystem confirms that using the Legendre symbol increases the decryption time in the proposed cryptosystem. The higher decryption time with the use of two different private keys increases the required time to break the cryptosystem if any possible attacks might exist that can be applied. Therefore, the proposed cryptosystem is more secure and highly effective.
Usability Study of a Public Culture Website for Improvement: A Case of Guangzhou Museum of Art

Museum websites usually possess a large number of high-quality content and their information is relatively objective and authoritative. So these websites are often used by researchers, visitors and other external users. The usability of museum website has a great impact on user’s experience, which determines whether users can quickly obtain information and services in the easiest way especially for public culture site such as museum, which few have been done. In this paper, Guangzhou Museum of Art is selected as the experimental object of usability evaluation museum website. Through the methods of observation, discussion, thinking aloud protocol, questionnaire and mouse tracking, the usability of the website is evaluated by 10 university researchers in terms of efficiency, effectiveness and satisfaction. The results show that there are some problems in the usability of the website, such as content service form, overall structure, navigation design and so on. The lack of attention to user habits causes users’ cognitive pressure. Suggestions are provided in the study to enhance the usability of these websites.
실시간 화상(Zoom) 교양영어수업이 EFL 대학생들의 영어 말하기에 미치는 영향

The present study investigated the effects of a synchronous video (Zoom) class and audio-recording practice on students'' speaking performance. It also examined students'' perceptions of a Zoom speaking class and voice recording practice in the synchronous online learning environment. Sixty-four Korean students first answered questionnaires to investigate their backgrounds and perspectives on online Zoom learning and then took a pre- mock TOEIC speaking test. After participating in online Zoom classes for ten weeks, they completed the same multiple questionnaires and the same mock speaking test. Additionally, they answered the open-ended questions about the advantages and disadvantages of a Zoom speaking class and voice recording practice. The data were analyzed statistically, and qualitative responses were categorized into themes based on the students'' responses. The results showed that the students improved significantly in speaking performances in the post-test compared to the pre-test. In addition, the students'' perceptions showed positive aspects towards synchronous English courses. The participants considered synchronous Zoom learning with self-recorded practice to be helpful and an effective way to improve their speaking skills. The technical issues, however, should be considered in any future learning environment.