Reviewerly/exHarmony huggingface dataset:
A Machine Learning Workflow for Depositional Environment Prediction from Microfossil Observations

Summary Biostratigraphic analysis is one of the important tasks in determining the paleodepositional environment of subsurface rocks. This task is traditionally done by a biostratigrapher and involves recording microfossil observations from thin sections and interpreting these observations. Because the collected data can contain tens of microfossil species, an expert is needed to perform the correct interpretation. This work applies machine learning, specifically, ensemble decision trees, in predicting the paleodepositional environment from microfossil observations. The methodology is applied on data collected from forty-four wells. Results showed that data cleaning and data conditioning are essential steps for constructing a reliable model that can be used in understanding the depositional environment. Ensemble decision trees strike a good balance between obtaining good accuracy and allowing explainability. Finally, data imbalance is a problem in real-world datasets that must be addressed to produce better accuracy. Overall, machine learning allows for the integration of biostratigraphic data with other geologic observations, e.g., rock texture, to produce a consistent interpretation. A larger scale automated pipeline can be applied on the database to produce predictions as new data is inputted.
IV International Conference &amp;quot;Artificial Societies and Information Technologies&amp;quot;

On September 27, 2022, IV International Conference &amp;quot;Artificial Societies and Information Technologies&amp;quot; was held on the basis of the Central Economics and Mathematics Institute of the Russian Academy of Sciences. And on September 28 a round-table discussion &amp;quot;Supercomputer Technologies and Artificial Societies&amp;quot; was held
A Conceptual Metaphor on the Expression of Apology: A Case Study of the Indonesian Lawyers Club Discussion (A Cognitive Linguistic Study)

In general, apology used as a way to improve relations between individuals. However, in certain contexts, apology can be used as a political tool that has tendencies based on interests, especially group interests. This is illustrated by the expression of invited guests in the Indonesian Lawyers Club (ILC) discussion with the theme "50 Tahun G30S/PKI: Perlukah Negara Minta Maaf?" which is the object of study in this study. In this research, the researchers use Cognitive Linguistic approach to explore concepts and conceptual metaphors of apology. The researchers use the method of referring to the tapping technique and note to transcribe data which is then classified and analyzed using the matching method. Based on the analysis carried out, conceptually, apologies are understood as a way to calm the feelings of the interlocutor in order to create a more comfortable atmosphere in relations between speakers. In searching for conceptual metaphors, the researchers discover the concept +PERMINTAAN MAAF+ is understood as another concept, some concepts refer to objects, those that refer to abstract entities.
Pengaruh Penerapan Strategi Directed Reading Thinking Activity Terhadap Kemampuan Membaca Pemahaman Pada Siswa Kelas IV

This research was conducted on the basis of problems found at SD Inpres Tello Baru I/1, namely the low ability to read students' comprehension. This study aims (1) To determine the application of strategies (DRTA) in student reading comprehension learning in grade IV UPT SPF SD Inpres Tello Baru I / 1 Makassar City, (2) To find out the ability to read students' comprehension before and after using strategies (DRTA) in grade IV students UPT SPF SD Inpres Tello Baru I / 1 Makassar City, (3) To find out the influence of the application of strategies (DRTA) on the ability to read comprehension of grade IV students UPT SPF SD Inpres Tello Baru I / 1 Makassar City. This research uses a quantitative approach with a quasi-experimental design form. The research design used is nonequivalent control group design. The sample used was 30 students. The sampling technique used in this study was purposive sampling. Data collection techniques include observation sheets, tests, and documentation. Data collection procedures, namely pretest, treatment, and posttest, were then analyzed statistically descriptively and inferential statistics using the IBM Statistical Pachage For Social Science (SPSS) version 20 system. The results of this study show that: (1) learning activities using strategies (DRTA) are going well. (2) Students' ability to read comprehension in Indonesian language learning after being given treatment using strategies (DRTA) shows differences. This is evidenced by the results of the pretest and posttest of students' reading comprehension ability from the less category to the good category. (3) There is an influence on the application of strategies (DRTA) on the reading comprehension ability of grade IV upt SPF students of SD Inpres Tello Baru I/1 Makassar City.
Algumas considerações sobre a produção e a aceitação de formas dos paradigmas vós/vocês após inquérito a estudantes da Faculdade de Letras da Universidade do Porto

As part of the debate about the vós/vocês paradigms, in European Portuguese, this study aims to expose a picture of the use and acceptance of linguistic forms of these paradigms by a group of Higher Education students. The results show a higher production of vocês, although vósis considered the politest one. Remark on some maintenance of convosco over com vocês and the tendency for the production and acceptance of third-person plural verbs with fifth-person posses-sive determiner. The production of vós is associated, by the majority, with older speakers and with defined geographical areas.
Implementasi Metode Secure Hash Algorithm (SHA-1) Untuk Mendeteksi Orisinalitas File Audio

Audio file is a means of information from one person to another. Audio files are very vulnerable to fraud, eavesdropping or data theft by irresponsible parties. In order to maintain the security of audio files, this can be done by using cryptographic techniques. Cryptography is one of the data security methods that can be used to maintain data authenticity, data confidentiality, and the authenticity of data transmission. SHA stands for Secure Hash Algorithm is a standard hash function published by NIST (National Institute of Standards and Technology). SHA is published with a digest size of 512 bits. SHA-1 will output 160 bits of the string and the output string is called a message digest. The length of the message digest can range from 160 to 512 bits depending on the algorithm. This study describes the security process for detecting the authenticity of audio files using the SHA-1 method in the form of detection so that confidential audio sent via public telecommunications cannot be changed or modified by unauthorized persons or unauthorized persons. This is done as an effort to minimize acts of fraud, hoaxes, or misuse of audio files.
Combine multilinear principal component analysis and curvelet transform features for a new face recognition system

In biometric face recognition, local information as important as global structure. Therefore, in order to save the local and global neighbourhood formation of the multiliear facial data space, a new feature extraction method called Curvelet Tensor space Analysis (CTA) is proposed in this paper. This is based on using Curvelet transform and mutilinear principle component analysis (MPCA) to extract powerful and efficient features. In addition to the use of Extreme learning machine (ELM) classifier, that significantly improved the classification rate. A comparative study is presented to evaluate the advantages of the suggested method over some bidirectional 2-D techniques on different benchmark facial datasets such as FERET, AR and ORL. The results prove that, this method outperforms all other methods with respect to the number of selected eigenvectors and error rate.
Identify User Behavior based on Tweet Type on twitter Platform using Mean Shift Clustering

Twitter is a social media where users often get information from various fields. There are many problems with Twitter. For example, in Indonesia's political field, discussing the performance of the President of Indonesia and his staff who are not good, students and the public hold demonstrations in DKI Jakarta. They want the President of Indonesia to step down from office. When the problem is trending, some users have positive (praise) and negative (blasphemous) behavior, which is interesting to discuss in this study. Before the method stage, data preprocessing is carried out so that the data to be used becomes more efficient. Word weighting is also done using the TF-IDF Vectorizer. Then, the clustering method with the Mean Shift algorithm is applied to identify user behavior based on the type of tweet. This method can find information from a vast data set in a short time. Based on this algorithm, the results obtained are 67 clusters from the Mean Shift algorithm. From a total of 67 clusters obtained, 5 clusters were taken to identify user behavior. User behavior in clusters 0, 2, 3, and 4 is negative because it discusses the people who want the President of the Republic of Indonesia to resign from his position immediately. Meanwhile, user behavior in cluster 1 is positive because the topics discussed only information that the people of Lampung are already in Jakarta.
OpenAPETutorial – A Problem-Based Learning Unit for the Personalization of Smart Home Applications

Online-Labs in Education , Seite 181 - 200
Upaya Meningkatkan Kompetensi Guru Bahasa dalam Menulis Buku Fiksi melalui Bimbingan Kelompok di MTs Negeri 6 Kulon Progo

This research aims to find out the application of group guidance as an effort to improve the competence of language teachers in writing fiction books in MTs Negeri 6 Kulon Progo. This research uses academic supervision techniques through group guidance. Based on the results of guidance, it can be concluded that there is an increase in the competence of language teachers in writing fiction books by 95%. As a result of the data group's guidance, there were 7 language teachers who wrote books both single and anthology along with offline or online guidance. Overall, this best practice activity has succeeded in improving the literacy skills of language teachers through group guidance.
USE OF ELEMENTS OF GAMING IN DISTANCE TEACHING OF THE DISCIPLINE "UKRAINIAN AS A FOREIGN LANGUAGE" AT AN ADVANCED STAGE

The article summarizes more than many years of experience of applying gaming elements in remote teaching of the discipline "Ukrainian as a foreign language". It is argued that during a full-scale war, the pedagogical community of Ukraine faces a difficult task to ensure a continuous educational process for all pupils and students, regardless of their actual location. Since the provision of educational services to foreign students has always been a profitable item for Ukrainian universities, everything possible should be done to maintain this contingent. It is claimed that for better motivation of students, courses (and therefore tasks) should be diverse, if possible, use all channels of information perception (not only visual). There are options for using such game components as the "Kahoot!" and "LearningApps.org" test services, the "Lecture" element in MOODLE, two options for computer scribing (intelligence maps created using the XMind program, and video scribing recorded in the Powtoon program). It is emphasized that one of the appropriate creative tasks in distance courses at an advanced stage is the creation of animated dialogues with a mandatory recording of one's own voice. In this way, it is possible to notice students’ pronunciation mistakes and correct them on time. Linguistic games of such types as "Sorting", "Chamomile", "Crossword" etc. are recommended.
PEDAGOGICAL CONDITIONS FOR THE DEVELOPMENT OF LEADERSHIP QUALITIES OF SENIOR PRESCHOOLERS BY MEANS OF GAME SIMULATION

ПЕДАГОГИЧЕСКИЕ НАУКИ (5.8.1, 5.8.1 (13.00.05), 5.8.2, 5.8.3, 5.8.4 (13.00.04), 5.8.5 (13.00.04), 5.8.6 (13.00.04), 5.8.7)
Active Learning for Efficient Partial Improvement of Learning to Rank

In this study, we propose a framework that allows partial improvement of ranking algorithms based on feedback from search engine administrators, where partial improvement refers to changing the rank of a particular document for a particular type of query. The proposed framework consists of two models: a query identification model to identify which query rankings should be updated, and a ranking model to generate the ranking that the administrator expects. By repeatedly performing steps (1) to (3), these models are trained based on feedback from search engine administrators: (1) A search engine administrator selects a query for which rankings should be improved; (2) the search engine administrator gives feedback on the documents in the ranking returned in response to the selected query; and (3) the models are trained with the feedback given by the administrator. In this framework, it is critical to elicit effective feedback from administrators to achieve partial improvement effectively. Thus, we propose an active learning method for recommending queries that are likely to be selected by the administrator and lead to informative feedback for producing expected rankings. We conducted simulation-based experiments with three learning-to-rank datasets to verify the effectiveness of the proposed active learning method. The experimental results showed that the proposed active learning method enabled efficient partial improvement of rankings.
PENGEMBANGAN E-MODUL BERBASIS MOBILE LEARNING UNTUK MATA KULIAH METODE PENELITIAN

The purpose of this research is to develop mobile learning-based e-module teaching materials for research methods courses.This research method is a research and development method using the ADDIE model with e-module development steps, namely: 1) Analysis; 2) Design; 3) Development; 4) Implementation; 5) Evaluation. The sample in this study were all tarbiyah students, namely the PAI study program who took research methods courses, namely semester 5 with a total of 93 students. The sampling technique is a saturated sample technique from the population used as a sample in the study. The data collection techniques of this research are observation, questionnaires and documents. This research instrument is in the form of expert validation sheets and practical assessments by students. This research design is experimental with pre-post test only design with piared sample t test analysis.The results showed that the analysis of product design and data that could be presented in expert judgment showed that the e-module had very good criteria with a significance value of 0.000 0.005, which means that there is a significant difference between learning before and after learning using e-modules based on mobile learning. E-module has a very practical assessment by students as a reference in independent learning with an average score of 4.5 with a very good category. This e-module provides an alternative for students to learn independently, more efficiently and effectively in the learning process outside the classroom.
"Comparative Analysis of Energy Cost of Sequential and Parallel Cryptographic Algorithms on Different Platforms"

Cell phones, smart cards, and health monitoring gadgets are just a few examples of the numerous battery-powered embedded systems utilized to access, alter, and store sensitive and complicated data today. Users are concerned about the protection of their identity credentials, their software packages, and their information. These systems make considerable use of cryptographic algorithms to implement security measures. Many cryptographic algorithms do calculations that are hard to compute and waste a huge amount of energy as a result. In this study, the energy consumption of serial and parallel cryptography algorithms is analyzed. Using an eight-core parallel system and Joule metre (Microsoft's Research Tool), we were able to reduce energy consumption in comparison to sequential algorithms with promising results. The study says that low-frequency symmetric multiprocessors have shown promising results and can make a big difference in green computing, which would be good for society as a whole.
Erasmus XR - Immersive experiences in European academic institutions

This paper discusses the Erasmus XR project which responds to the urgent need to enrich the existing educational programs for both cultural and media managers, but also for artists aspiring to connect with their audiences in the digital space. The project&#x2019;s overall goal is to develop an educational offer for these groups in the field of immersive media (XR), and ways of using these media to engage audiences. More specifically, the project aims at increasing the skills and competences of the participants in designing and evaluating immersive experiences in order to effectively manage, disseminate, and produce culture in the digital sphere.
Efficient Design of Compact 8-bit Wallace Tree Multiplier Using Reversible Logic

Reversible logic is now employed in low-power CMOS circuits, optical data processing, DNA calculations, biological studies, quantum circuits, and nanotechnology.When building quantum computers, for example, the use of reversible logic is unavoidable.The structure of a reversible logic circuit is far more complex than that of an irreversible logic circuit.The multiplication operation is regarded as one of the most crucial in the ALU unit.In this paper, the Wallace tree method is utilized to minimize the depth of circuits in 8x 8 reversible unsigned multiplier circuits.The proposed design is an attempt to enhance design factors including the number of gates, garbage outputs, constant inputs, and quantum cost for an 8-bit Wallace Tree multiplier using reversible logic.The Proposed design offers 27% less quantum cost compared to the existing 8-bit Wallace tree multiplier design.
First step climbing the Stairway to Heaven Model - Results from a Case Study in Industry

Context: Nowadays, software development organizations have adopted agile practices and data-driven software development aiming at a competitive advantage. Moving from traditional to agile and data-driven software development requires changes in the organization´s culture and structure, which may not be easy. The Stairway to Heaven Model (StH) describes this evolution path in five stages. Objective: We aimed to investigate how Systems Theory tools, GUT Matrix, and reference ontologies can help organizations in the first transition of StH, i.e., moving from traditional to agile development. Method: We performed a participative case study in a Brazilian organization that develops software in partnership with a European organization. We applied Systems Theory tools (systemic maps and archetypes) to understand the organization and identify undesirable behaviors and their causes. Thus, we used GUT Matrices to decide which ones should be addressed first and we defined strategies to change the undesirable behaviors by implementing agile practices. We also used the conceptualization provided by reference ontologies to share a common understanding of agile and help implement the strategies. Results: By understanding the organization, a decision was made to implement a combination of agile and traditional practices. The implemented strategies improved software quality and project time, and cost. Problems due to misunderstanding agile concepts were solved by using reference ontologies, process models, and other diagrams built based on the ontologies conceptualization, allowing the organization to experience agile culture and foresee changes in its business model. Conclusion: Systems Theory tools and GUT Matrix aid organizations to move from traditional to agile development by supporting better understanding the organization, finding leverage points of change, and enabling to define strategies aligned to the organization characteristics and priorities. Reference ontologies can be useful to establish a common understanding about agile, enabling teams to be aware of and, thus, more committed to agile practices and concepts. The use of process models and other diagrams can favor learning the conceptualization provided by the ontologies.
A Pb isotope synthesis of Mississippi Valley-type ores in the midcontinent U.S.A.: trends and ore metal source(s)

High concentrations of Ga and Ge, two strategic metals vital to modern technology and industry, have been noticed in ores from various Mississippi Valley-type deposits in midcontinent U.S.A. [1].These deposits also account for a substantial amount of worldwide Pb and Zn resources.A variety of crustal rocks, including basement rocks, shales, and carbonate aquifers, have been suggested as potential source(s) of ore metals [2, 3, 4, 5, 6].MC-ICP-MS Pb isotope analysis of ores and rocks have been carried out to re-evaluate these source(s).Lead isotope values of ores define two collinear, parallel trends: Tri-State (TS) and Central Missouri (CM) ores are collinear with Southeast Missouri (SM) and Northern Arkansas (NA) ores; Upper Mississippi Valley (UMV) and Illinois-Kentucky (IK) ores are collinear with Central Appalachian (CA), Southern Appalachian (SA), East Tennessee (ET), Central Tennessee (CT), and South-Central Kentucky (SCK) ores (Figs. 1, 2).Ores from Ozark region (CM, SM, TS, and NA districts) are characterized by 208 Pb-depleted Pb compared to Pb in UMV, IK, CA, SA, ET, CT,
Application of Linear Partial Differential Equation Theory in Guiding Football Scientific Training

Abstract In this paper, the deep learning method is used to detect the training videos to obtain the prediction trajectory of football motion. At the same time, we propose a football tracking framework based on Kalman filtering. This paper uses the Kalman filter algorithm to track the football target. We give solutions to the target occlusion problem and the trajectory splitting problem. The study results found that the traditional simple prediction method affected the performance of the competition due to its low accuracy. In this paper, the Kalman filter prediction method is used to improve the accuracy of football trajectory prediction.
Comparison of Commissive Acts between University of Oxford’s and Universitas Indonesia’s Prospectuses

&lt;em&gt;This study aimed to compare Oxford University (OU) as a native English speaker and Universitas Indonesia (UI) as a non-native English speaker in presenting commissive acts in their university prospectus to see their similarities and differences. This study used the descriptive qualitative method. The data were an English-written prospectus from OU, The World's Best University and UI, The Best Indonesian University in 2020, based on the 2020 World University Rankings by Times Higher Education (THE). Specifically, data were taken only from forty-nine courses in Undergraduate Programs from each prospectus. Data were analyzed using six types of commissive acts instruments according to &lt;/em&gt;&lt;em&gt;Searle, (1976)&lt;/em&gt;&lt;em&gt;, namely Promise, Threaten, Guarantee, Refuse, Volunteer, and Offer supported with (IFIDs) and Felicity Conditions. Data were analyzed by identifying the types of commissive acts, classifying, comparing, interpreting, and concluding. This study found four similarities; both only presented three types of commissive acts such as Promise, Offer, and Guarantee. Both dominant presented the Guarantee type. Both tend to present commissive acts implicitly. For Promise and Guarantee, both do not present them explicitly. Three differences were; OU presented more commissive acts (312), while UI only (193). On the Promise type, OU tends to address its readers using (you), while UI used (students). On the Offer type, OU only presented it explicitly (27) times, while UI did it explicitly (17) and implicitly (3) times. The results of this study are expected to provide additional information regarding the proper use of commissive acts to attract readers' interest.&lt;/em&gt;