Reviewerly/exHarmony huggingface dataset:
The ongoing challenge of connecting speakers to archival language records

Language archives provide an excellent service for structuring collections and for making them accessible. Connecting speakers with archival sources scattered in different locations, only available via the internet, is addressed by our use of local subcollections – files with their descriptions exported from the collection and delivered on local wifi transmitters. (session 2.1.1)
Modern Digital Device Systems Supporting the Instruction of Digital Natives

Abstract While in our accelerated world everything seems to change, basic values are here to stay. I believe one such aspect is education and training. Although our educational system is built on a relatively permanent basis, instructional methodology on the whole has undergone substantial changes despite that all of the educational system has preserved its role in transmitting, presenting, and preserving knowledge. Since in our fast 21 st -century world myriads of facts and fake or questionable information is available, students require new knowledge along with new and perhaps different answers. We believe that education, due to its ability to provide scientifically sound answers to the respective challenges, is vital today. Recent paradigm shifts have led to fundamental alterations in the form of information and knowledge acquisition supported by modern, state-ofthe-art ICT-based methodological solutions and learning environments. The study focuses on the theoretical and practical aspects of such learning support schemes or solutions.
Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations

Cloud Computing paradigm has revolutionized IT industry and be able to offer computing as the fifth utility. With the pay-as-you-go model, cloud computing enables to offer the resources dynamically for customers anytime. Drawing the attention from both academia and industry, cloud computing is viewed as one of the backbones of the modern economy. However, the high energy consumption of cloud data centers contributes to high operational costs and carbon emission to the environment. Therefore, Green cloud computing is required to ensure energy efficiency and sustainability, which can be achieved via energy efficient techniques. One of the dominant approaches is to apply energy efficient algorithms to optimize resource usage and energy consumption. Currently, various virtual machine consolidation-based energy efficient algorithms have been proposed to reduce the energy of cloud computing environment. However, most of them are not compared comprehensively under the same scenario, and their performance is not evaluated with the same experimental settings. This makes users hard to select the appropriate algorithm for their objectives. To provide insights for existing energy efficient algorithms and help researchers to choose the most suitable algorithm, in this paper, we compare several state-of-the-art energy efficient algorithms in depth from multiple perspectives, including architecture, modelling and metrics. In addition, we also implement and evaluate these algorithms with the same experimental settings in CloudSim toolkit. The experimental results show the performance comparison of these algorithms with comprehensive results. Finally, detailed discussions of these algorithms are provided.
Bipolar words extraction using Sentiment Analysis: A Study

In the era of Artificial Intelligence, there are many research works that came up with new techniques and methods for performing Sentiment Analysis. We used to provide our reviews, sentiments about particular topic. There are several opinions which show both positive and negative polarities. Aspect based sentiment analysis is a technique which works specifically on Aspects of the data to categorize it in the terms of Positive, Negative and Neutral sentiments. In this paper, we analyzed the work that has been done on extracting bipolar words from the data and how effective the results presented using various techniques in different specializations. The discussion of existing methods for bipolar words extraction and scope of improvement in the bipolar words extraction has also been done in this paper.
The Use of the Iraqi University Teaching Staff for the Internet and its Media and Communication Applications in Communicating with Foreign Research Institutions - Afield Study of The University Teaching Staff of Medicine, Administration and Economics Coll

The research  problem stems from a major question : what is the reality of the use of the Iraqi universities teaching staff in the faculties of medicine , administration and economic in universities , Baghdad , Iraqi, Tikrit , administration and economics of the internet and its various media and communication applications in communicating with foreign research institutions ? the research problem was expressed by a set of hypotheses that have been answered .The research aims to achieve a set of objectives , including identifying the reality of the use of teaching in Iraqi-university represented by faculties of the research sample of the internet and its various media and communication applications in communicating with their counterparts in determining the extent of correlation between the workplace of teaching staff and their participation through the internet and its media and communication applications in scientific activities held in foreign countries , the teaching staff of the internet research sample and its media and communication applications and their follow –up the sites of journals and scientific journals issued by foreign academic and research institutions in the field of specialization, and reveal the extent of correlation between the rate of use of the internet research sample and its media and communication applications and access to the sites of foreign academic and research institutions .This research is descriptive research, has adopted the method of descriptive analytical survey , and used questionnaire tool that was designed to achieve the objectives of the research , the research was divided into three researches concerned with the first methodological framework of the research and the second topic addressed the uses of the internet and its applications of information , the third section dealt with the results , most notably : the presence of statistically significant differences between the workplace of the teaching staff and the participation of them through the internet and its media and communication applications in scientific activities held in foreign countries , and the existence of a correlation between the intensity of use of these staff to the internet and its media and communication applications and between the follow-up the journals and scientific journals sites issued by foreign academic and research institutions in the field of specialization , and there is a correlation between the use of the research sample of the internet and its applications and the increase in the rates of down-loading books and references and foreign research and exchange with other researches , the research sample of media and communication applications of the internet and communicating applications of the internet and communication with foreign academic and research institutions and join groups of researches from foreign countries in the field of specialization .
EXPERİMENTAL-PSYCHOLOGİCAL RESEARCH AS A MAİN FACTOR İN SELF- ACTUALİZATİON AND PROFESSİON SELECTİON OF ADOLESCENTS

The article is devoted to the study of the role of self-actualization and profession motives in the profession selection in adolescents. Research has shown that increasing the level of self-actualization in adolescents depends on a number of factors, including the self-esteem of adolescents, changing their attitudes towards their potential and the nature of the formative work carried out with them. However, research has shown that there is a correlative dependency, and this dependence is positive, between adolescents' profession selection and self-assessment, self-actualization, and training costs.
Emerging Trends of Artificial Intelligence in South Asia and its Implications for Pakistan

&#x0D; &#x0D; &#x0D; Artificial Intelligence (AI) has emerged as a breakthrough technology which is astonishingly impressive. Major world powers are rapidly integrating AI in their military doctrines. This trend of militarization of AI can be seen in the South Asian region as well. Following the theoretical approach of offensive realism, China and India are in full swing to revolutionize their militaries with this emerging trend in order to accumulate maximum power and to satisfy their various interests. Consequently, Indian military modernization has the potential to provoke Pakistan to take counter measures. Pakistan is already encountering a number of challenges in economic sector and will face the strenuous task of accommodating a handsome financial share for the development of its AI capabilities. South Asia is a very turbulent region characterized by arch rivals who are also nuclear powers and have repeatedly indulged in various crises over the years. Introduction of AI in South Asia will have significant repercussions as it will trigger an arms race and at the same time disturb the strategic balance in the region.&#x0D; &#x0D; &#x0D;
THE EFFORTS TO IMPROVE READING SKILL ON SHORT FUNCTIONAL TEXT APPLIED WORD STRESS LEARNING

The objective of this study is to improve the students' words stressing on reading short functional text. This research method is classroom action research using two cycles, it have three stages are planning, orientation, implementation. The first cycle, discussion and reflection at the end of the later action until planning the correction phase in the second cycle. The research subjects were in the class of 33 students of class VIII-D of SMP Negeri 2 Purwokerto. Data collection in this study is observation, which is an observation sheet to see how far the action has been achieved in the students' words stressing when reading short functional text. The results of the research in the first cycle were 3 students in the poor category, 18 students in the medium category and 12 students in the good category in words stressing on reading short functional text. The results of the second cycle of 22 students well-skilled and 11 students medium-skilled in reading on words stressing, and there were no more students who were less-skilled at reading short functional text on word stress. It can be concluded that there is an increase in word stress skills when reading short functional text from the first cycle to the second cycle in action.
The Development of DT-NB Hybrid Algorithms for Classifying Some Defective Dataset Types for Software Quality Prediction

This research is the presenting the development of hybrid algorithms that is called DT-NB or Decision Tree -Naï ve Bayesian to predict about the software quality .Besides, it can develop the new technique of data mining for software industry or the current software engineering .Then, these techniques to make the comparison are Decision Tree, Rule-Based and Naï ve Bayesian.Similarly, according to the analysis result of making the comparison for quality planning, it was found that the technique DT-NB had the correctness result of96 percent .Additionally, it was found that according to the analysis result of making comparison for quality assurance, the technique of DT-NB had the correctness result with76percent .On the same way, according to the result analysis of making comparison of quality control, it was found that the technique of DT-NB had the correctness result of 29 percent .
Early Childhood Teachers' Content Knowledge on Green Growth Education

The purpose of the study was to examine early childhood teachers’ content knowledge on green growth education. The subjects, 45 early childhood teachers, were asked to draw concept maps about early childhood green growth education. Their concept maps were analyzed in terms of superordinate and subordinate concepts by contents and frequencies. The results showed that early childhood teachers used 182 superordinate and 1,292 subordinate concepts in the concept map of green growth education for young children. Although early childhood teachers had a wealth of content knowledge on green growth education as proposed by the Ministry of Education, their knowledge was disproportionate to some areas and sub-areas of green growth education. These results implied the needs of developing teacher education programs for early childhood green growth education.
The Drones In Our Legal Order

We are currently immersed in a new technological era that has given rise to changes in various areas, including justice. The need to cope with new social realities related technologies is essential to move forward as a society; However when this advance means compromising the privacy or intimacy of the members of this, the question that should be made is Premium security for any beginning of criminal investigations or raw material intimacy? Legal privacy protection seeks to safeguard it against a variety of activities and practices that are problematic, harmful or prejudicial to it. But, isn't there, outside the State (legitimate) interest in crime control, other interests that should be under consideration? In the present work is justified that you have to find is not hinder technological development, but that regulate the use of these means properly.
The Strategic Objective of Improving the Professional Skills of Primary School Teachers in the Light of the Implementation of the Federal State Educational Standard of the Primary General Education

The article discusses issues related to improving the professional competencies of an elementary school teacher, suggests ways to improve his professional skills, which allows in practice to form the functional literacy of a primary school student, which is stated as part of the requirements in the Federal State Educational Standard of Primary General Education (FSES PGE). The history of the concept of “functional literacy” is considered, a program of continuing education courses is set out, the purpose of which is to ensure the teacher’s readiness to organize the process of formation of the functional literacy of a primary school student.
Forensics Analysis of Wish-Shopping Made Fun Application on Android

Nowadays in the digital world, the Internet has become the desired medium to perform actions in daily lives. Shopping over the internet has made lives easier and comfortable. Internet users' attitudes towards online shopping are not entirely consistent. They wanted to utilize the plastic money to shop online simultaneously they feel themselves at risk to share their credit card information. As the popularity increases so do the trend to shop online increases. While using mobile devices there might be some residual data left behind in those devices. In the e-commerce domain, it is being difficult for the forensics analyst to identify sensitive information and observe the user's behavior. In this paper, we have identified and evaluate the forensically sound remnants left in a mobile device with an experimental analysis of wish application. The location containers found during the analysis will be useful for investigators to build case scenarios. With exhaustive research of wish architecture, we have summarized the artifacts in tabular form. It is composed of an artifact's location and identification type of those remnants.
Design of Blockchain Ledger Compression Algorithm

Blockchain has received widespread attention due to its decentralization, openness, autonomy, information tamper proof, and anonymity, and is currently on the rise. Some fatal weaknesses have been widely criticized in the process of evolution and development of blockchain technology. For example, the blockchain network has a large amount of data, large communication overhead, large storage overhead, and poor timeliness. The causes of these defects are complex, and the increase for data is the most important of many. In order to solve above problems, we research on the self-designed alliance chain that supports deletable ledger function, which can implement the function of searching and deleting ledger transactions. After the deletion request and execution are verified and agreed by the consensus nodes, the blockchain ledger is compressible or deletable. At the same time, the integrity of the forward and backward verification of the corresponding high-level blocks can be guaranteed without affecting the storage and usage of other blocks.
Tool Supported Detection of Omissions by Comparing Words between Requirements and Design Document

This article proposes a tool supported approach to detect omitted requirements that are not implemented in a corresponding architectural design document using difference sets of words or word senses between a software requirements specification document and a software architectural design document. First, the proposed approach extracts sets of single-words, multi-words, and word senses that appear in a requirements specification document but do not appear in the corresponding design document using a natural language processing tool. Then, an architectural design document inspector validates whether each of the specified document with the single-words, multi-words, or word senses are implemented in the corresponding architectural design document using the sets as guides. Evaluation 1 investigated whether omitted requirements can be detected in design documents using the proposed approach. Evaluation 2 investigated the numbers of words that inspectors need to check for the proposed approach. The result of Evaluation 1 shows that omitted requirements are detected in all three pairs for real requirements specification documents and design documents. The result of Evaluation 2 shows that the numbers of words in the difference sets to those in the requirements specification documents vary from 18 to 83 % for the nine pairs of requirements specification documents and design documents.
Analyzing the Rework Time and Severity of Code Debt: A Case Study Using Technical Debt Catalogs.

This paper presents a case study analyzing Hibernate ecosystem software projects to investigate and demonstrate Code Debt behavior in relation to severity and rework time. The case study carried out revealed that the Code Debt with severity related to impact on software maintenance is the most representative and has the largest rework times to be paid in the Hibernate ecosystem. Besides, it was found that the distributions of rework times of Code Debt for all severities undergo variations in the initial versions of the development.
THE MOTIVES OF EDUCATIONAL ACTIVITY STUDENTS OF PEDAGOGICAL EDUCATION

The article analyzes the problems of the development of educational and professional motivation students of pedagogical education in the course of their professional training in higher education. The purpose of the study was to substantiate theoretically and verify experimentally of formation of educational and professional motivation, students ' opinions about the problems of organization of educational process gives the opportunity to evaluate and adjust it from the perspective of a student as a subject of educational process. To achieve this goal, we used the following methods: to collect empirical survey data (student questionnaires).The results of the study feature educational and professional motivation of contemporary students. According to the results of the experiment, the need to create special educational conditions that underlie the development and implementation of the program aimed at increasing the level of professional motivation of students of pedagogical education in higher education is revealed.
Y_2 Halkası Üzerinde Skew lama-cyclic Kodlar

In the present paper, by defining two non-trivial automorphisms and Gray maps over Y_2=Z_4+uZ_4+vZ_4+uvZ_4 where u^2=0,v^2=0,uv=vu , the algebraic structcure of the skew lamda-cyclic codes and their Gray images over the finite ring Y_2 are determined, where a=1+u+v+uv.
Women's Civil and Political Rights in Lebanon and France and Their Impact on Economic Growth

This study carried out a quantitative analysis of several variables in both Lebanon and France. Specific aspects related to education, unemployment, vulnerable employment, gender gap, and participation in parliamentary life were studied. We started from the rationale that human rights necessitate that human beings so it is imperative that each individual enjoy civil and political rights, which means in addition to the right to life and the right equality, there should be the right to the legal recognition and participation in public life whether through employment or elections. These rights have been recognized by the international human rights laws, mainly in the Universal Declaration of Human Rights by United Nations and by the existing local laws both in Lebanon and France.The tests of homogeneity for the panel data models from Lebanon and France have been implemented carefully considering the linear relationship between the real GDP as a dependent variable and three of the independent variables consisting of the rate of women teachers in the secondary education , the rate of female to male ratio in labor force participation , the rate of women’s vulnerability to risks in the female labor force . The study demonstrated the importance of the Random Effects Model (REM) using the the log-transformed data. The study revealed a positive impact of both and on the real GDP while the variable has a negative impact both in Lebanon and France during the period (2008-2017).
Enabling Faster Convergence in Distributed Irregular Graph Processing

Large scale iterative graph processing has become increasingly important due to its use in analyzing large realworld networks (e.g., internet topology, social networks). Due to their scalability, distributed systems are an attractive platform for graph processing. However, the irregular power-law degree distribution of such large graphs creates many challenges for efficiently managing iterative workloads on a distributed system. We observe that in current algorithms during each iteration an active vertex is processed exactly once. In this work we demonstrate that by processing less expensive low-degree vertices more frequently we can cause more expensive high-degree vertices to be processed less frequently leading to faster algorithm convergence. Our experiments demonstrate that both the number of iterations and total execution times are reduced significantly for multiple iterative graph algorithms (PageRank, NumPaths, SSSP) on billion vertex input graphs (Friendster and Twitter).