Reviewerly/exHarmony huggingface dataset:
ANALISIS PENGGUNAAN KOSAKATA SERAPAN DALAM BUKU TEKS BAHASA INDONESIA KELAS VII

Analysis of the Use of Absorbed Vocabulary in Indonesian Language Textbook Class VII. This study aims to identify the form of vocabulary and types of absorption vocabulary used in textbooks. The type of research used is qualitative research by describing qualitative descriptive data. The data source of this research is Indonesian Class VII Textbook. Data collection techniques were carried out using reading techniques, note-taking techniques and inventory. The research instrument consisted of the main instrument, namely the researcher and the observation guide table. The results showed that absorption vocabulary in Indonesian textbooks for grade VII, based on absorption vocabulary in the form of adoption, adaptation and hybridization, types of absorption vocabulary were categorized as nouns, adjectives and verbs, there were several findings of absorption vocabulary from foreign and regional languages in Indonesia. Indonesian textbook for class VII. The use of vocabulary and regions tends to be more positioned as objects and in sentences in Indonesian class VII textbooks.
Framework And Differentiation In Teaching A Foreign Language To High School Students

The purpose of the research is to depict the university conditions of the synchronic implementation framework and variability in teaching a foreign language, being able to increase qualitative schooling in an up-to-date university with regard to students’ individual aptitudes. The authors are wondering whether the framework permits to provide equitable access to education to all citizens. Variable learning expands learners’ possibilities to select his/her own individual route at university to gain more competences and experience in the sphere chosen. The theoretical basis of the technology of variable learning is formed on system-based, personality-oriented, competence-based and activity-based approaches. The authors conclude that the formation of a bank of educational resources for teaching students taking into account their level of language proficiency influenced the educational system of the University, the development of the educational space of the region. Online courses on various aspects of the language allow implementing the Federal standard in the educational institution in all varieties of variable educational programs. The authors recommend changing the teacher’s and student’s view on their role in the learning process, establishing the necessary character of the interpersonal interaction in the partnership mode, determining the methods and forms of work that provide pedagogical support to each student.
A Practical Prediction Method of Investment on Electrical Equipment

According to years of investment estimation experiences on electrical engineering construction, the majority investment of transformer substation is used in purchasing electrical equipment. If the fluctuation of electrical equipment price can be well forecasted in the early stage of construction, the economic benefit will be improved. This paper tries to explain the fluctuation of equipment price considering influencing factors from supply-side, demand-side and transaction environment. A modified random forest algorithm (MRFA) is adopted to predict the investment on electrical equipment during electrical substation construction. The prediction accuracy of proposed method is verified by the actual bidding price of several devices in a construction project. The predicted result is much better than the k-Nearest Neighbor (KNN) algorithm and the linear regression algorithm (LRA).
The impact of Economic Freedom and Democracy on Income Inequality: Empirical Evidence from Sub-Saharan African Countries

Throughout our study entitled the impact of economic freedom and democracy on Income Inequality: empirical evidence from Sub-Saharan African countries. We have demonstrated that the economic freedom which is defined as the elementary right of all humans to have control on his or her own labor and property and an important impact on the economic growth. Individuals have the freedom to work, to produce, to consume and to save or invest the way they want in an economically free society. We use the measure of Fraser Institute's economic freedom from the world summary index (EF). A composite of five major sub-indices: Access to sound money index (SM), Freedom to trade internationally index (FT), Government size index (GV), legal structure and security of property rights index (PR), and regulation of credit, labor and business index (RG). The results show that the Freedom to trade internationally index (FT), the Government size index (GV), the regulation of credit, labor and business index (RG) have negative impact on the income inequality. Concerning the Governance, Government Effectiveness, Rule of Law, and Regulatory Quality is negatively related to Income Inequality. Nevertheless, the Control of Corruption and the coefficient of Political Stability and Absence of Violence have a positive impact on Income Inequality. The stability promotes the income inequality and through the protest and demonstration by the least privileged leads the government to reconsider the system of ruling. Our control variables such as economic growth and population throughout the four estimations they show none significance with the Income Inequality. So basically the economic growth doesn’t affect the income inequality in Sub-Saharan Africa. As Africa financial institutions, the Banks have a clear mandate to support the Regional Communities, to strengthen strategies and to lower the income inequalities across countries and within countries. The inclusive growth plans and agenda of the Banks and their new Long Term Strategy will position the Bank as a leading institution to promote activities that foster economic growth in an inclusive
Theoretical Analysis of Sports Education Model for Realizing the Deep Teaching of Physical Education

Based on the diversified requirements of physical education disciplinary core literacy, physical education needs to transcend traditional teaching of physical education and move towards deep teaching of physical education. This paper generalizes and analyzes the connotation, concept and characteristics of deep teaching of physical education by means of literature. At the same time, the paper combs and analyzes the corresponding relationship between the teaching concept, teaching characteristics, teaching process structure of sports education and the specific requirements of deep teaching of physical education. It is believed that the characteristics of sports education correspond to the specific points of implementing the deep teaching of physical education and can meet the needs of the deep teaching of physical education. Therefore, physical education teachers can make reasonable use of sports education in class to create a classroom teaching environment conducive to students' all-round development.
A seamless second-factor verification as a mobility-service for future commute stations

Mass mobility services that facilitate simultaneous movement of several passengers by means of a bus or shared cabs, are becoming commonplace in several countries today. The main challenge faced by companies offering such services is the verification of claims regarding the boarding of passengers, made by either the passenger or the driver. Currently, such companies do not have a foolproof and yet usable solution to this problem and rely on manual verification of passengers during boarding. To this end, we propose a second factor of verification (2FV) and proof aggregation mechanism for establishing transparency and trust among the involved stakeholders. Specifically, we propose ProofRide, which exploits the time-domain similarities and inherent randomness in the observations about occurrences of motion-related events by the riders - the passengers and the driver. We discuss two scenarios-active and passive attempts of friendly frauds by the passengers and prove that ProofRide robustly verifies a trip with > 94% accuracy and scales across different types of vehicles including car, bus, bike, and metro trains.
Language model for Earth science for semantic search

&amp;lt;p&amp;gt;Recent advances in technology have transformed the Natural Language Technology (NLT) landscape, specifically, the use of transformers to build language models such as BERT and GPT3. Furthermore, it has been shown that the quality and the domain-specificity of input corpus to language models can improve downstream application results. However, Earth science research has minimal efforts focused on building and using a domain-specific language model.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We utilize a transfer learning solution that uses an existing language model trained for general science (SciBERT) and fine-tune it using abstracts and full text extracted from various Earth science journals to create BERT-E (BERT for Earth Science). The training process utilized the input of 270k+ Earth science articles with almost 6 million paragraphs. We used Masked Language Modeling (MLM) to train the transformer model. MLM works by masking random words in the paragraph and optimizing the model for predicting the right masked word. BERT-E was evaluated by performing a downstream keyword classification task, and the performance was compared against classification results using the original SciBERT Language Model. The SciBERT-based model attained an accuracy of 89.99, whereas the BERT-E-based model attained an accuracy of 92.18, showing an improvement in overall performance.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We investigate employing language models to provide new semantic search capabilities for unstructured text such as papers. This search capability requires utilizing a knowledge graph generated from Earth science corpora with a language model and convolutions to surface latent and related sentences for a natural language query. The sentences in the papers are modeled in the graph as nodes, and these nodes are connected through entities. The language model is used to give sentences a numeric representation. Graph convolutions are then applied to sentence embeddings to obtain a vector representation of the sentence along with combined representation of the&amp;amp;#160; surrounding graph structure. This approach utilizes both the power of adjacency inherently encoded in graph structures and latent knowledge captured in the language model. Our initial proof of concept prototype used SIMCSE training algorithm (and the tinyBERT architecture) as the embedding model. This framework has demonstrated an improved ability to surface relevant, latent information based on the input query. We plan to show new results using the domain-specific BERT-E model.&amp;lt;/p&amp;gt;
KESANTUNAN BERBAHASA BERDASARKAN PRINSIP KERJA SAMA MAHASISWA ANGKATAN 2018 PRODI PBSI UNM

Polite Language Based on the Principles of Student Cooperation Class of 2018 PBSI UNM Study Program. This study aims to describe the scale of language politeness based on compliance with and violations of the principle of cooperation in discussion activities for students of the 2018 PBSI UNM Study Program. This research is a descriptive qualitative research. The results showed that the language politeness scale based on the compliance with the principle of cooperation in the discussion activities of students of the 2018 PBSI UNM Study Program was categorized as varied, namely: polite, moderately polite, less polite, and disrespectful by obeying four maxims, three maxims, and two maxims. Likewise, the scale of language politeness based on violations of the principle of cooperation in discussion activities for students of the 2018 PBSI UNM Study Program has varied categories, namely: moderately polite, insufficient, and impolite with violations of two maxims and one maxim.
Do Lawsuits Silence? Legal Harassment in Corporate Crime Research

Researchers in the social sciences are often the bearers of unwelcome messages. In some cases, the publication of unwanted outcomes of social research may be subjected to censure. For researchers investigating “crimes of the powerful,” it comes as no surprise that the powerful use their power to force them to adjust or withhold such unwanted results. In the multidisciplinary field of research on corporate crime efforts to silence researchers can be especially formidable. This happens, for example, when researchers are threatened by multinational business corporations with law suits for libel or defamation. As a criminologist working in this field, the author describes being threatened by a multinational with a lawsuit clearly designed to prohibit publication of his research on a specific corporation’s complicity in crimes against humanity. Triggered by his own experience, he explores accounts of other researchers about their experiences with legal harassment. He explores what they do when they fear being threatened with a lawsuit as well as the repercussions of their choices and how this influences their future research. After taking a look at three classic examples of the legal harassment of researchers on corporate crime, he analyzes the case in which he was threatened with a lawsuit for defamation. This is followed by the results of an informal survey of other researchers who had had experiences with legal harassment and been negatively affected in their ability to get their research published. The chapter concludes with a discussion of silencing and the issue of academic freedom.
Efficient probabilistic parameter calibration of landslide run-out models via Bayesian active learning

&amp;lt;p&amp;gt;Landslides, such as debris flows and avalanches, are common natural hazards worldwide. They pose an ongoing threat to life and property. Landslide run-out models that have been developed over the past decades are powerful tools to assess landslide risks and design mitigation strategies. Due to the simplification of real-world landslide processes, the models often contain parameters that rely on calibration of past landslide events where field data are available. Deterministic calibration methods like traditional trial-and-error calibration suffer from the non-uniqueness issue and cannot account for uncertainties associated with field data. Probabilistic calibration methods like Bayesian inference avoid the two issues. However, their usage is hindered by high computational costs due to the long run time of a single run-out model evaluation and the large number of required model evaluations.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To address the research gap, this work proposes an efficient probabilistic calibration method for parameter estimation of landslide run-out models. The new method couples landslide run-out modeling, Bayesian inference, Gaussian process emulation, and active learning. We implement it in a Python-based environment. Its feasibility and efficiency are tested based on an extensive synthetic case study. Owing to Gaussian process emulation and active learning, our new method overcomes the computational bottleneck by reducing the number of required model evaluations from thousands to a few hundreds. It is therefore expected to advance the state-of-the-art in parameter estimation of landslide run-out models. In addition, the impact of different types of field data on calibration results is studied using the proposed method.&amp;amp;#160;&amp;lt;/p&amp;gt;
Distribution of Active Seismic Deformation in the Eastern Alps from the Recent Swath-D Experiment

&amp;lt;p&amp;gt;The Swath-D network was a temporary seismic experiment nested within the AlpArray backbone network. Roughly 150 broadband stations were deployed across the Austrian-Italian border in the Eastern Alps during the second half of 2017, and were active to late 2019. This dense network provided an unprecedented resolution in a tectonically active region that is considered to play an important role in the evolution of the Alps. Extracting new information from this dataset turned out to be challenging due to the large volume of the dataset, low magnitude of the seismicity, and heterogeneity of the study area.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We applied waveform-based methods to detect, phase-pick, and relocate seismic events using data from the Swath-D network in the Eastern Alps. A GPU-accelerated template matching algorithm was developed in order to increase the number of detected earthquakes based on the previously known seismicity. Newly detected events were automatically picked using based on waveform similarity, and precisely relocated. This poster provides an overview of our results and the methods that we have applied.&amp;lt;/p&amp;gt;
Using the Modified Delphi Method to Construct the Quality Indicators of the Counseling Service System

The counseling service system is a case management tool used by professional guidance counselors and full-time teacher-counselor.However, the system satisfaction and willingness to use were generally low.This study used the modified Delphi method to construct the quality indicators of the counseling service system.The study found the quality indicators of the system can be divided into five major dimensions and 23 evaluation indicators to explore.There were three indicators most valued by experts and users, which were the functions are simple and convenient to operate, the project meets the needs of the work, and the efficiency and convenience of paper processing are improved.Based on the research results, this study puts forward substantive implications for academics and management.
Ethical implications of online healthcare data sharing in the Indian context

Technology is not only changing the way doctors and patients communicate, but also how physicians interact with other healthcare providers. This interaction has increasingly begun to be over online media such as telemedicine networks/instant messaging apps/social media/emails. The Covid-19 pandemic has further spurred the rapid adoption of these digital healthcare technologies, amplifying the potential risks for data breach of sensitive personal information.
Suitable Error Recovery Process using Combined Evaluation Standards in Robotic Manufacturing Plant

The number of manufacturing plants where industrial robots work is increasing.Therefore, errors during work are likely to occur.For big errors, it is often necessary to go back to the previous step and resume work.There are two issues: which step to return to and what kind of work to do from the point of return.In this paper, we will show that it is good to use a combination of multiple evaluation standards to decide the planning.
Formation of teamwork skills among future teachers in the development of didactic games with traditional and digital components

The problem and the aim. A teacher of a digital school, according to the requirements of the standard of professional activity, must possess such universal qualities related to information and communication technologies, formed communicative competence, the ability to work in a team. The formation of the relevant skills within the framework of university education is complicated by a number of problems of a different nature. The authors suggest to improving the training of future teachers to organize practical activities for the development of didactic games integrating computer-free and digital elements. The authors suggest organizing a practice of designing a system of specially selected tasks to improve the training of future teachers of a digital school. Research methods. Gamification is used both as a technology for acquiring new knowledge and as a technology for team building. The method of team activity is used to development of didactic games. The pedagogical experiment involved 60 students of specialty 44.03.01 Pedagogical education (two training profiles, magister's degree level), Vyatka State University (Russian Federation). To assess team effectiveness the methodology of Lora Stack (five levels of team building) was chosen. The criterion χ2-Pearson was used as a statistical processing method. The assessment of the quality of educational results out using the author's testing of 50 tasks ("credited"/ "not credited") was carried. Statistical verification of the obtained results was made using Fisher's criterion. Results. Students of the experimental group were involved in teamwork on educational games: studied basic mechanics in didactic games; mastered interactive services; developed their own project, including both computer-free and digital elements. Statistically significant differences in the qualitative changes of the system by the levels of formation of teamwork skills, χ2emp 2 &gt; χ2crit0.05 (10,244 &gt; 9,488), were revealed. Statistically significant differences by the quality of professional training (φcrit=1,64&lt;φemp=2,401), were found. In conclusion formulates the problematic questions, the answers to which allow us to determine the directions of the team's work on the development of didactic games: discussion of the purpose of the game and the gaming goal, the choice of basic mechanics and emerging competencies, the definition of rules and resources, etc.
Study on the combination of augmented reality technology and children's folk game—an example of the world toy exhibition in Yunlin Re-toy House

Children's folk game reveals the transformation of lifestyles and progression of culture of people through time. It is an output of the wisdom of time, and also an important treasure needed to be inherited, collected, and introduced to younger generations. At the heart of the collection and introduction of children's folk games lies not only the dimension of “play” but also helping players to look into the depth of the cultural meaning of the game. In this study, more than 40 children's folk games played worldwide are collected for a world toy exhibition, integrated with the application of augmented reality (AR) technology. The purpose of using AR is to digitize the full picture of the games for long-time preservation as well as giving new looks to old games. This study builds up the AR materials for each game consisting of videos and films, which are easy for children to operate; moreover, the integration of AR with modern interactive technology benefits the promotion of the exhibition as it attracts visitors’ interests and draws children's attention to exploring the games.
Peer review declaration

All papers published in this volume of IOP Conference Series: Earth and Environmental Science have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind review process • Describe criteria used by Reviewers when accepting/declining papers. Was there the opportunity to resubmit articles after revisions? Acceptance/rejection’s recommendations by the reviewers were based on the mode of presentation and scientific/technical approach used in each paper. It was also based on the ability of the author(s) to revise their submitted papers based on the reviewer’s comments or by providing reasonable rebuttals to the comments raised by the reviewers. • Conference submission management system: All papers were submitted via our email channel (icssd2021@covenantuniversity.edu.ng) • Number of submissions received: 57 • Number of submissions sent for review: 51 • Number of submissions accepted: 27 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 47.4% • Average number of reviews per paper: 2 • Total number of reviewers involved: 43 • Any additional info on review process (ie plagiarism check system): The plagiarism of each paper was checked by Turnitin • Contact person for queries: Name: Theophilus Aanuoluwa Adagunodo, Ph.D Affiliation: Department of Physics, Covenant University, Ota, Nigeria Email: theophilus.adagunodo@covenantuniversity.edu.ng