Reviewerly/exHarmony huggingface dataset:
Application of the Importance Performance Analysis Method and Customer Satisfaction Index Methods to the Quality of Distance Learning Services for Students during the Covid 19 Pandemic

This study discusses the analysis of satisfaction levels on distanced learning or PJJ of the student at Universitas Kristen Indonesia during the Covid-19 pandemic. The problem investigated are whether the expectation of UKI students meet service and its level of satisfaction. The research was carried out in the even semester of 2020/2021. The research method used is quantitative method with a survey approach through questionnaire distribution. Furthermore, the data were analyzed by the Importance Performance Analysis method (IPA) and Customer Satisfaction Index (CSI). IPA Matrix described the most meaningful attributes of students in the PJJ process, which is mapped in 4 quadrants of all variables that have impacts on quality PJJ services, and CSI are used to determine the overall student satisfaction level with the approach which considers the importance of the attributes measured during the Covid-19 pandemic. Based on the results of the analysis using IPA, it was known that the attributes which is the main priority in quadrant A are speed of access to the PJJ learning platform, fair assessment by the lecturer, the consistency in giving lectures well, reliability in managing class, use the PJJ platform, pay attention to the student, and understand the student’s difficulties during PJJ. For quadrant B, attributes that need to be maintained are the use of interactive tools for PJJ, easy access and connection of the PJJ platform, lecturers teaching in accordance to their field, lecturers answer student’s questions, lecturers master the material being taught, lecturers updating learning materials following the current conditions, encourages and motivates students to do the best learning in the PJJ process. Attribute on quadrant C, the low priority attribute are lecturers are able to adapt from conventional learning to PJJ, lecturers respond quickly and efficiently handle student needs and complaints, how lecturers answering student’s questions and comments, lecturers use variative learning platforms, lecturers put the long-term interest in their students to stay focus in PJJ. For quadrant D, an overrated attribute is the proactivity of lecturers in providing the information about PJJ to students. For CSI the attributes, the amount of learning carried out by UKI lecturers is 72.61%. It is still in the CSI range (between 0.66 - 0.80) which means that UKI students feel satisfied with the PJJ which was carried out during the Covid-19 pandemic.
Hierarchical Text Summarization Using Semantic Similarity

Due to the impact of the internet in the current era, huge volumes of data have emerged. This makes the user spend more time gathering information that is scattered across many documents. Summarizing the documents and providing a compressed version of it reduces the reading time for the users. Text summarization is the practice of condensing larger text documents into an organized summary of instructive sentences. The term "embedding" refers to the representation of each sentence in the text as a vector of real values. Values of particular attributes are examined and plotted in n-dimensional space when embedding a text. Semantically comparable sentences are located closer to one another. By calculating the distance between the vectors, unsupervised summarization combines comparable sentences and determines whether or not they should be included in the summary. With the input text data, Hierarchical Summarization creates a tree-structure, with the tree's length being determined by the number of clusters.&nbsp; Three different hierarchical clustering models are used to perform the clustering. Sentences with a comparable semantic content are collected in each cluster. A predetermined number of sentences were extracted from each cluster by locating its closest neighbor, and these phrases were then added to a summary that holds at least half the size of the original document(s). Performance indicators are used to assess the effectiveness of hierarchical summarizing on the CNN/Daily Mail dataset. The evaluation score finds that, with an F1 score of 0.75, the BIRCH algorithm performs better than the other clustering algorithms.
Complexity in Dynamic Academic Systems from Topology and Genetic Grammars

This chapter sheds a new light on the theoretical foundations of the main contemporary initiatives towards the adequacy of the teaching-learning process to the great changes of our society. An academic environment can evolve from chaos to stabilised states, and this theoretical study will present and also discuss a chaotic simulation model that addresses this. This study will provide a consistent foundation for new methodological initiatives that support shifts in the traditional paradigm of education and learning. The study was designed from the classical literature on chaotic systems with some original theoretical implementations. This study is based on the configuration of a DAS toy model by means of computational simulations carried out on a virtually built random academic environment. The individuals were classified by profiles of ordered abilities represented by binary strings defining a topology. Such topology fixed the type of the strings and their transcriptions to decimal system. To simulate the evolution of the system, three differential equations were numerically combined in convolution, one of which made reference to those strings transformed into decimal signatures. The simulations were run using the Maple and R programming languages. Simulations showed attractors for different time intervals of iterations. For wide ranges of individual propensities to develop the six abilities described in the work it was observed that the dissimilarities of individual profiles induced attractors with narrow boundaries. Growing the number of individuals, this tendency was maintained. The study displayed simulations of academic systems made up of professors and researchers interacting in a stable environment, highlighting how these systems could transition from chaotic configurations to stability and produce well-defined attractors.
Artificial Intelligence Applied to Contracts: Panacea or Poison?

The use of artificial intelligence (AI) in contract writing has led to the emergence of new and innovative contractual practices, including in drafting, execution and dispute resolution. This article presents the different aspects of the use of AI in the design and management of the different contracts of working life, focusing on the key vigilance points for contracting AI and the key clauses that need to be included in contracts to ensure legal compliance and stakeholder protection. A proactive, enlightened and adaptive approach is essential to ensure that the benefits of AI are maximized while minimizing risks and preserving the fundamental principles enshrined in international treaties and the Moroccan constitution. In addition, it also raises questions about the future of the legal profession and the need for lawyers to develop new skills to work with AI.
Role of Digitalization: Why Game-Based Learning Important During the COVID-19 Pandemic?

Objective: Game-Based Learning (GBL) is an e-learning platform that drives learning. It can be used as an additional option for teachers because it integrates the learning process with the experience of playing games that can be done anywhere and anytime. The distance learning or online learning set by the government during the COVID-19 pandemic could not support learning. Obstacles faced by students resulted in a decrease in achievement due to the inaccuracy of the strategies and learning methods used by the teacher during the learning process. This study aimed to determine the role and usefulness of the GBL method during the pandemic. Method: The research method used is a qualitative literature review method with fifteen main articles as a reference. Result: The results of the study found that the role of GBL during the pandemic is to fun learning, increase interest in learning, increase student motivation, improving student learning outcomes, improving mastery of learning, improve student cognitive ability, increase student activity, boosting creativity, improve concept understanding &amp; knowledge, practice digital literacy, and practice self-efficacy. Novelty: GBL method is essential and plays a significant role in learning during the pandemic. The advantage it has can be used to improve student achievement, primarily when online learning is implemented. However, in the process, parental supervision is still needed so students can avoid game addiction.
The Level of Awareness, Knowledge and Perception of Linked Data by Library and Information Science Professionals in Nigeria

The internet is the most compelling capacity building tool, as it exposes various forms of human knowledge. This has resulted into an overwhelming use of the search engines by digital generation in their social, education and research activities. Surprisingly, only a very little fraction of libraries’ digital collections are available on search engine results. Linked Data (LD) is an emerging set of standards and technologies that can potentially enable information systems such as libraries to publish their highly treasured wealth of knowledge, and interlink their hidden data on the web for better global accessibility. Linked Data having been presented as the future for library and information data management has triggered many institutions to experiment with it, and to learn more about the technology. Although technical challenges are paramount obstacles to the spread of LD across libraries, but the biggest issue can be attributed to lack of awareness on its potentials. This research focused on investigating the level of awareness, knowledge and perception of linked data by library and information science (LIS) professionals in Nigeria. The study made use of Survey research design, consisting of structured and open ended questions, distributed to LIS professionals in Nigeria. A total of 71 LIS professionals that spread across 17 institutions in Nigeria formed the participants for the study. The study portrays that LIS professionals in Nigeria perceive LD technology as a welcome innovative idea to facilitate records accessibility, and further move librarianship in Nigeria to the global best practices. But there is a drastic low level of knowledge on the subject of LD amongst the professionals, which is an impediment to the speedy implementation. To this effect, every institution in Nigeria needs to escalate discussions and trainings on the subject of Linked Data in order to foster the development of this powerful tool in shaping libraries collections’ management.
Event Detection in Groundwater Sensor Networks using Artificial Intelligence Autho

In this paper, a method for detecting spatial and temporal anomalous events in groundwater sensor networks (high-dimensional time series data), such as system faults and attacks will be developed. Unlike recently developed deep learning frameworks for anomaly detection which do not consider the dependences between the variables and apply the existing relationships to predict the expected behavior of the sensors, the method in this paper extracts the relationships between the sensors spatially and temporally and learn to detect and simultaneously explain deviations from these relationships. This challenge is solved by using graph attention neural networks and structured learning. Attention neural networks can give useful interpretability in context of the anomalies detected and allows to identify their causes. To improve robustness the method considers aleatoric and parametric uncertainties by using ensemble specific value prediction and prediction intervals without assuming any data distribution. Furthermore, the model was connected to a fully connected classifier to classify typical groundwater network anomalies. The method was applied to a study area and it could be shown that the method could capture in 92% of the cases the complex correlations between the high dimensional variables, and enabled analysts to identify the causes of the anomalies.
THE IMPACT OF POPULATION GROWTH ON THE COUNTRY'S ECONOMIC DEVELOPMENT

This study aims to examine the importance of population growth in our country for economic development. Correlational regression and Durbin-Watson equations were used for data analysis, based on data from the World Bank and the country's economic websites. The results of our research show that the impact of population growth on the human development index is significant.
Solar Tracker: Performance Analysis and Optimisation of Efficiency

Solar energy is one of the richest source of renewable energy on Earth, thus its harnessing is very much necessary for the useful conversion of light energy into electric energy. Solar panels are developed in this direction. Many scientists have developed various methods to gather the solar irradiation in order to maximize the extraction of electric power from the Photovoltaic generators. However, the problem with the solar power is that it is directly dependent on light intensity. The main hindrance with solar panels is their low efficiency with huge investment. Studies show that a solar panel converts 20-40% of energy incident on it to electrical energy. The solution is to use a tracking system1, 7 that maintains the panel’s position orthogonal with the light source. There are many tracking systems designs available including passive and active systems with one or two axes of freedom.8, 9 It has been found that the overall efficiency gain in single-axis solar tracker designed in10 is 27% than that of fixed mechanism. We had optimised the tracker efficiency by performing the experiment with solar tracker for consecutive three days and thus results were analysed by using stat-ease software. Moreover, the testing showed that the power used by the tracking system was much less than that of power gained by tracking system. While working on the developed set-up, focus was given on the incremental efficiency of the solar power generation system. In the present work, further performance analysis is taken up with the help of various parameters viz. Specific Energy Production (SEP), Performance Ratio (PR), Ground Cover Ratio (GCR) and Surface Performance Ratio (SPR)11 to further elaborate the efficiency enhancement in solar trackers as compared to fixed systems.
Data Association Algorithms

Track association means that when the radar tracks the target in real time, the target detected in the radar echo signal at the current moment is matched with the target track that already exists at the current moment.
Unlocking the Power of Creative Thinking: A bibliometric analysis of the 21st Century

This study presents a bibliometric analysis of the creative thinking publication from the Scopus database from 2011-2021. This study reports the results using standard bibliometric indicators: (1) the current state of publication of creative thinking, (2) topic areas in creative thinking, (3) keyword analysis, (4) most productive authors, and (5) geographical contribution of publication. The researchers used VOSviewer, a programme for building and displaying bibliometric networks, which they obtained via the Scopus database and Harzing's Publish-or-Perish analysis to carry out this study. The results provide insightful information on the current level of creative thinking, including existing trends and changes.
Artistic and creative effectiveness of acting manners in the process of playing a role

Purpose of the article. Consideration of the manner of acting as a means of the artistic and creative process in the artist's work on creating a stage image of the character of the role. The research methodology consists in the application of the modeling method - to analyze the creation of a model of the acting style of a certain historical period in the development of performing arts to identify its most characteristic essential features; art criticism method - to consider the artistic and playful effectiveness of the manner of acting, the effectiveness of its individual characteristics in creating the image of the actor of the role in the process of the emergence and subsequent genesis of theatrical art; functional method - to substantiate the principles of the creative process of the manner of acting as a phenomenal phenomenon directly related to the definition of cognitive meanings, pragmatic characteristics of the interpretation of the character of the role in the play of a certain theatrical era of acting; the cultural-historical method - for analyzing the manner of acting in the concrete historical development of the theater, not only as a kind of key to the interpretation of the character of the role, but also the praxeological process of acting; the comparative method - to conduct and determine a comparative analysis of the models of the manner of the acting score of the game as ways of working on the images of stage works. Research novelty. For the first time, a detailed description of each manner of acting is provided, its specifics in the work on the artistic image of the role of the performer of the stage form - the actor of the drama theater. Conclusions. The solution to the existing problems of theater as an art form lies primarily in the professional competence of the actor, which provides him with the opportunity, using his own abilities, to correctly choose the style of stage play, in accordance with the genre plan of the play and its directorial interpretation, for free effective mastery of the skill of creating a bright, holistic and a unique image of the protagonist of a work of art, taking into account the experience and achievements of a galaxy of outstanding stage masters in different historical periods of the theater's existence.&#x0D; Key words: theater, actor, acting, stage image, role, acting, actor-type, reincarnation, alienation, mask.
Online Interaction during Covid-19 Pandemic: advantages, challenges and

Proper interaction is a fundamental element of a well-functioning online learning environment. This study examined Saudi students of The Arabic Language Institute for Speakers of Other Languages at King Abdul Aziz University’s general attitude towards online interaction.
Contactless System Navigation Using Dynamic Hand Gesture Recognition

Abstract: Hand gestures are a natural way for human-robot interaction. Vision based dynamic hand gesture recognition has become a hot research topic due to its various applications. Traditional (or conventional) methods of human-computer interaction, namely, keyboards, pointing devices, and similar physical input tools, and the more popular and commonly used touchscreens, are only as useful through the application of pressure through physical touch. The recent pandemic has driven a major argument about the substantial and often, indispensable need for contact-less operation of systems, irrespective of the scale of the industry. Say for example, supply chain systems that are handled by scores of employees in the span of a day. It is quite fundamental knowledge now, that how public systems that work on physical contact can pose as potential vectors for diseases. Hand gesture recognition can turn out to be an excellent solution to this problem; facilitating truly contact-less interaction with computing devices, and at the same time providing dependable and respectable efficiency. This approach will be further elaborated in upcoming editions of this research article.
GAME-BASED LEARNING MEDIA AND ITS EFFECT TOWARD STUDENTS’ LEARNING ACHIEVEMENT

This study aims to determine the effect of game -based learning media toward students’ learning achievement. The game-based learning media implemented during this study was Quizziz. This research design used a Non-equivalent control group design with Quasi Experiment method. The research sample comprised 20 students, ten from class XI MIPA 5 as an experimental class and ten from class XI MIPA 6 as a control class. The research instrument is a learning achievement test in the form of a pretest and posttest with as many as 15 questions numbers. Based on the game-based learning media analysis result, it shows that implementing learning using Quizizz game-based learning media is better than conventional learning methods. It can be seen from the calculation of the quizizz game media t-test shows that the sig t count is 0.000 &lt; 0.05, then H 1 is accepted, and H 0 is rejected. The results of the score analysis averaged the completeness of the experimental class reached 76.40 with high criteria, while the conventional learning method in the control class of 65.90 with medium criteria. All in all, game-based learning media is proved that it affects in the students’ learning achievement on digestive system topic.
Nearpod for Mathematics: Realizing Functions and Relations Between Sets

This study tries to evaluate the teaching and learning process of Teaching Functions and Relations of Sets using Nearpod. The purpose of the study is to determine whether Nearpod can be used as a Learning Platform in interactively teaching Functions and Relations between Sets in a Blended Learning Environment. This is a phenomenological study conducted in a Mathematics Class at Marikina Polytechnic College. A lesson was presented and delivered to MAT Mathematics Major students of the Marikina Polytechnic College who also assess and evaluate the lesson based on the implementation of Nearpod in teaching Functions and Relations between Sets. Reflections and Feedback given by teachers were analyzed through a thematic approach. Results show that Nearpod provides ease of access using different devices and promotes teaching both in online and face-to-face settings. Ease of access to creating diagrams through the Draw-it feature makes teaching and learning g functions and the relation between sets interactively engaging. There are, however, the teacher must be mindful of the risk in teaching relations and function of sets. To avoid it, the teacher must specify the objective of teaching Functions and relations between sets and delivering the lesson efficiently to maximize the potential of the feature of Nearpod. Thus, it is suggested to implement Interactive Teaching using Nearpod not only in teaching Mathematics but in other subjects. Keywords: Nearpod, Functions and Relation, Mathematics Education, Interactive Teaching