Reviewerly/exHarmony huggingface dataset:
Strategy Towards Accurate Location of Seismic Events Sources in Mining Environments: Effect of Voids and Backfill

ABSTRACT: Seismic events may occur naturally or unnaturally as a result of human activity. The focus of this research is on seismicity caused by human activities in underground mines. Despite significant technological advances in the mining industry, the phenomenon of rockburst and its mitigation measures are still controversial technique. Predicting the time of occurrence of rockbursts remains a challenge. At best we can estimate the potential location of seismic events from numerical modelling. Seismic monitoring systems play a major role in the mitigation of rockbursts by identifying their potential source locations. The accuracy of seismic event source locations depends on the reliability of the velocity model. Because the mining environment is constantly changing, a constant input velocity may result in spurious seismic event locations. In this paper physical laboratory models mimicking the continuously changing mining environment are used to investigate the impact of the changing mining environment on seismic wave velocity to provide means for predicting the seismic wave velocity in real-time to improve the accuracy of seismic source locations. 1. INTRODUCTION Seismicity can occur naturally or be caused by human activity. This study focuses on underground mine seismicity induced by mining operations. A seismic event that occurs suddenly resulting in a damage to an excavation, equipment and or injury to personnel is known as a rockburst (Zhou, Li &amp; Mitri, 2018). Rockbursts are a common problem in deep underground mines and affect mine operations in terms of safety, productivity and efficiency. Predicting the time of rockburst occurrence is difficult due to its complex nature. The only way to deal with the problem is to identify possible locations of rockburst occurrence through site experience or numerical modelling (Trifu &amp; Suorineni, 2009). Microseismic monitoring systems are common tools used for monitoring seismicity for the estimation of different hazard sources. These equipment are widely used in deep underground mines and are vital to control and mitigate the risks caused by seismicity. The microseismic monitoring system helps to detect, locate and identify seismic events in underground mines, and therefore they are essential part of the rockburst understanding mechanism.
Buljung, B., &amp; Bongiovanni, E. (Eds.). (2021). the Scholarly Communications Cookbook .

"Buljung, B., & Bongiovanni, E. (Eds.). (2021). The scholarly communications cookbook." Journal of Web Librarianship, ahead-of-print(ahead-of-print), pp. 1–2
Action Sport

Sonya is a young adult professional action sport athlete originally from a small town in the northeast, and an only child to her single-parent mother. From a young age she was extremely active, wanting to try everything. She played soccer, swam, took riding lessons at a local stable, played t-ball and basketball, wakeboarded at a nearby lake in the summer, and snowboarded many weekends in winter. As she became more involved in the action sport culture, she was often the subject of teasing by classmates outside of her group, but it was more because she was the only girl in her grade who was into action sports on that level, and less about who she was; overall, she was well-liked and friendly with everyone. Action sport culture became more and more important to Sonya, and she started connecting with more athletes in the industry via Instagram and other social media platforms, sharing videos and learning new tricks.
Decision Tree Algorithm for Credit Card Fraud Detection

In the financial world, new business-making systems have emerged as technology advances.The credit card system is one of them.However, there are many loopholes in this system, which caused a lot of problems with this system as a way of credit card fraud.As a result, both the industry and customers who use credit cards are losing a lot of money.The purpose is to detect fraud in the credit card industry with the use of a machine learning system.In this case, the Decision Tree method is employed for fraud detection.Using some public data as samples, the model's effectiveness may be determined.Following that, we look into a set of real-world credit card data from banking organizations.In addition to this, some clutter is added to the data sample to assist in confirming the robustness of the system.The method's relevance is that it creates a tree for the user's activity and then uses that tree to discover fraud transactions.The findings absolutely show that mainstream selection technologies have achieved considerable accuracy in detecting credit card fraud situations.
BREAST CANCER DETECTION SYSTEM

Machine learning and soft computing methods have been used in several studies to treat breast cancer. Countless groups assert that their algorithms are superior to those of others in terms of speed, simplicity, or accuracy. This study develops a system that can correctly identify between benign and malignant breast tumours using machine learning techniques. The research's aim was to make the learning algorithm better. To select the ideal features and parameter values for machine learning classifiers in this scenario, we used regression. Accuracy, precision and recall were the performance metrics.
Admissibility in Strength-Based Argumentation: Complexity and Algorithms

Recently, Strength-based Argumentation Frameworks (StrAFs) have been proposed to model situations where some quantitative strength is associated with arguments. In this setting, the notion of accrual corresponds to sets of arguments that collectively attack an argument. Some semantics have already been defined, which are sensitive to the existence of accruals that collectively defeat their target, while their individual elements cannot. However, until now, only the surface of this framework and semantics have been studied. Indeed, the existing literature focuses on the adaptation of the stable semantics to StrAFs. In this paper, we push forward the study and investigate the adaptation of admissibility-based semantics. Especially, we show that the strong admissibility defined in the literature does not satisfy a desirable property, namely Dung’s fundamental lemma. We therefore propose an alternative definition that induces semantics that behave as expected. We then study computational issues for these new semantics, in particular we show that complexity of reasoning is similar to the complexity of the corresponding decision problems for standard argumentation frameworks in almost all cases. We then propose a translation in pseudo-Boolean constraints for computing (strong and weak) extensions. We conclude with an experimental evaluation of our approach which shows in particular that it scales up well for solving the problem of providing one extension as well as enumerating them all.
Library higher education system in the USA: traditions and innovations

The purpose of the article is to describe the main evolution and current vectors stages of the higher library education development in the USA. Research methodology. The application of a set of theoretical and empirical methods of scientific knowledge made it possible to identify the main stages of the library higher education system’s evolution in the USA, the establishment of classical and innovative models of its modern development, transition to qualitatively new educational standards that marked the implementation of the competency approach, the dominance of cross-curricular learning goals over the formation of highly specialized knowledge, skills and abilities, the introduction instead of a disciplinary activity model of learning. The main approaches to scientific knowledge to achieve this goal were the systemic, historical, comparative, and modeling ones. The scientific novelty of the work is that on the basis of comparative and content analysis of the leading US Universities’ educational programs for Bachelors, Masters, and Doctors of Philosophy in “Library Science and Information Science” in their historical retrospective revealed the main development stages and modernization vectors of the country’s library higher education as the founder and leader of the specified educational direction. Conclusions. A study of the library schools’ genesis in American Universities, and content analysis of their educational training programs for various degrees allowed us to identify the main stages of the library higher education’s evolution in the USA: the stage of origin (the late 1880s – late 1930s); stage of intensive development (1950–1970s); stage of modernization changes (1980s – till present). The main vectors of modern transformations of higher library education are innovation, continuity, fundamentalization, digitalization, universality, and strengthening of the information component in the content of education.&#x0D; Key words: library higher education, the USA, history of library higher education, digitalization of education, diversification of library educational programs.
The Practice and Effect of Dictogloss for Teaching Migrant Workers’Korean Writing

This study aims to apply the Dictogloss teaching method, which can efficiently promote various language areas for migrant workers who have difficulty securing sufficient learning time, to actual classes and confirm its effectiveness. Specifically, a research class was conducted on 16 migrant workers to find out whether Dictogloss affects the improvement of Korean language skills of migrant workers.&#x0D; First, in order to find out the change in writing skills of the study participants, a pre/post writing evaluation was conducted to confirm that the average score was 17 points or more different in post-writing compared to pre-writing. Second, surveys and post-interviews were conducted to find out the study participants’ perception of Dictogloss. Through the survey, it was confirmed that participants had a positive perception of Dictogloss and had high preference. Through the post-interview, it was confirmed that Dictogloss’ cooperative learning increased the participation of migrant workers in classes, which led to the improvement of Korean language skills. In addition, it was confirmed that vocabulary skills were improved as well as listening and speaking skills, including writing. However, the limitations of Dictogloss could be confirmed due to the lack of Korean language skills and difficulty in discussion due to differences in academic background.
WEB USERS SEARCH BEHAVIOUR ANALYSIS USING MACHINE LEARNING

Web searching process is vital part of our day-to-day lives.Recently, many users received different result for the same query by using of web personalized searching process.Most of the traditional search engines may have the vocabulary problem like synonymy and polysemy which produce irrelevant information for the user query.Search Engine ranking process includes the Web Personalization process by introducing domain-based searching and user profile-based searching to get the user needed data.In this paper, a new method called GWSP (Gawk Web Search Personalization) framework for personalizing the web search results is proposed.This creates the user profile that contains basic information and dynamically updates the information as per the changes in user profile.There are two optimization process in GWSP Model like search query processing and Search Query Optimizer (SQO).Search query processing is retrieving the data based on user and SQO Wordnet.Search Query Processing is performed by combining the information about User domain and User's query for searching.Search query optimizer offers the personalized search result with approximate relevant information to the user's query using the information from the User Profile and using WordNet.
Implementation of Quantum Algorithms via Fast Three-Rydberg-Atom CCZ Gates

Multiqubit CCZ gates form one of the building blocks of quantum algorithms and have been involved in achieving many theoretical and experimental triumphs. Designing a simple and efficient multiqubit gate for quantum algorithms is still by no means trivial as the number of qubits increases. Here, by virtue of the Rydberg blockade effect, we propose a scheme to rapidly implement a three-Rydberg-atom CCZ gate via a single Rydberg pulse, and successfully apply the gate to realize the three-qubit refined Deutsch-Jozsa algorithm and three-qubit Grover search. The logical states of the three-qubit gate are encoded to the same ground states to avoid an adverse effect of the atomic spontaneous emission. Furthermore, there is no requirement for individual addressing of atoms in our protocol.
Pengaruh Media Pembelajaran E-Learning Terhadap Disiplin Siswa Di Madrasah Aliyah Yasmu Manyar Gresik

E-learning learning media is an activity of teaching and learning process by utilizing information and communication technology such as computers or smart phones. The implementation of learning at Madrasah Aliyah Yasmu Manyar has been carried out online or online since the covid-19 pandemic by utilizing information technology media, based on the circular letter of the ministry of education and culture no. 4 of 2020, in implementing online or online learning, students tend to be less active. The factors that cause student learning activity to decrease in online/online learning that result in decreased student discipline include: 1) lack of direct supervision (control) by the teacher towards students. 2) there is no awareness from students regarding the importance of participating in online/online learning. 3) there is no awareness from parents to encourage students to be more active in participating in online/online learning. With the formulation of the problem as follows: 1) How is the implementation of e-learning learning media at Madrasah Aliyah Yasmu for students? 2) How is the influence of e-learning learning media on student discipline at Madrasah Aliyah Yasmu?. The research in this thesis uses a quantitative approach, the data analysis technique is obtained through the product moment correlation analysis technique, which is processed by the SPSS calculation application. This study aims to determine how much influence the e-learning media has on student discipline. The population in this study were 135 students. The number of samples used is random sampling, namely 57 respondents. The data collection technique used is a questionnaire. The results showed that the e-learning learning media had a positive effect on student discipline, namely 15.6% and the remaining 84.4% had no effect on student discipline.&#x0D;
Model of higher school innovative process

The paper touches upon the problem of the innovative activities in the higher school educational system. The innovative activities of universities in our country and abroad have been analyzed. The American, European and Asian models of design and construction of technoparks are described. The European model is found most suitable for implementing in Russia. The main methods of managing the educational process are shown. The model of the innovative process of the university is described through the structure of the educational-scientific-innovative complex. The basic concepts that define the innovation process in the university including the creation of technoparks are outlined. Efficiency of higher school activity is estimated. A technology is proposed to increase the efficiency of the university activity by creating an educational-scientific-innovative complex. The issues of knowledge management and education quality management are outlined. The broader interpretation of the innovative activities of universities is theoretically justified. Effective innovation is evaluated through the efficiency of the innovation process, which is defined as the ratio of proceeds from the implementation of an innovative product or service to the total costs of research, development, training, development of an innovative structure, taxes, debts and loan commitments. A model of the innovation process of the university is presented in the form of four blocks: educational, scientific, innovative, and consumer. The role of universities in developing technology, economics, education level, increase in the efficiency of using the capabilities of the university in the use of intellectual information resources is shown. The tasks of the educational-scientific-innovative complex of the university are outlined and the stages of the innovation process are described. The prospects of the research comprise the development of a model of innovative development of the university. The nature of innovation in universities and the conceptual model of the innovation process are described
Machine Learning Approach to Determine the Drug-Prone Areas in Lhokseumawe City, Indonesia

This research aims to apply Machine Learning algorithms, such as K-means and K-nearest neighbor into a system that can determine drug-prone areas in Lhokseumawe City, Indonesia. The results of the k-means calculation in some clusters of areas that are very prone, prone and not prone to drugs based on drug user data with some criterias, namely the number of users, sub- district, education, occupation and types of drugs. Based on the research that tested by using the k-means algorithm on data on drug users in 2018-2021, the average percentage of clusters in very prone areas is 49.50%, the percentage of clusters in prone areas is 29.26% and the percentage of clusters in non-prone areas is 21.23%. Furthermore, the results of testing with the K-NN algorithm with 98 training data and 20 testing data obtained an average accuracy value of 87%.
pROnounce: Automatic Pronunciation Assessment for Romanian

Automatic pronunciation assessment has the potential to play a key role in the process of improving proficiency in a foreign language. The process represents a modern, smart learning alternative where students can receive immediate feedback with very low friction. As an overview, such systems are built on top of regular Automatic Speech Recognition engines using data collected from various native speakers but operate at a lower level, where the system recognizes phonemes instead of individual words. Another key difference is that such systems do not attempt to perform automatic corrections using a language model; instead, the output is a measure of resemblance with the learned baseline with emphasis on the detection of mispronunciations. In this study, we introduce pROnouce, a tool designed for the Romanian language, which also considers gamification to ensure a more pleasant experience. Two approaches for pronunciation assessment were considered, both using Deep Neural Network models, coupled with a method to further expand the training dataset using recordings for other languages that share the phoneme set. Our system was evaluated by more than 150 individuals at Expo Dubai 2020 who were interested in experimenting with introductory Romanian words and provided feedback.
Moving Object Detection Based on Weighted Kernel Norm and Saliency Constrained RPCA

Abstract Focusing on the issue that the accuracy of object detection is reduced when the foreground target moves slowly and there is interference in the background, a moving object detection method based on weighted kernel norm and saliency constraint RPCA is proposed. In the new method, the weighted kernel norm is used to restore a relatively clean background, which is helpful to separate the slow moving target from the background. The l 1 norm is used to constrain the sparsity of moving objects, and the Frobenius norm is used to detect noise, and a saliency constraint is introduced to detect slow-moving objects. Experiments show that this method can effectively deal with the problems of slow foreground motion and background interference. Compared with the suboptimal algorithm, the average measured value F of the proposed algorithm is improved by 15%.
A Study on Plagiarism Patterns in University Students’ Writing: Focus on Copy Killer Test Results

The purpose of this study is to find a way to educate university students on writing ethics. For this study, 3,374 liberal arts class assignments were analyzed using Copy Killer test results.&#x0D; As a result of analyzing the plagiarism rate based on students’ gender, class method, and type of assignment, there was no difference in the plagiarism rate according to the gender of the student. There is a difference in the plagiarism rate between online and on-campus courses. This may indicate that an undergraduate student is more likely to engage in plagiarism when writing an assignment for an online course. There was also a correlation between the type of assignments and the plagiarism rate. Book reviews, columns, and academic essays showed the highest frequency with a plagiarism rate of 0 to 10%, and books with a plagiarism rate of 60% or higher showed the highest frequency in book reviews.&#x0D; Instructors should pay attention to students’ assignments and make it mandatory to check for plagiarism. However, since plagiarism is reduced only by checking the plagiarism rate, it is necessary to repeatedly teach writing ethics in class.
A Study on Korean(Joseon) Language Education Method in Chinese Sai-gwan(Hoedong-gwan) Interpreter Seen from the Semantic Field Approach in 「Joseongwan-yeogeo」

Vocabulary in foreign language teaching may determine the success or failure of language learning when step-by-step education progresses as a basic element of communication. Thus, its importance is being recognized even in the vocabulary education field in Korean language education. Various discussions are ongoing as to a specific vocabulary teaching-learning method available for a synergistic effect on learning.&#x0D; This study sought a method of vocabulary education to expand the vocabulary of international students in the country. The characteristics and format of vocabulary books that are shown in ancient Chinese Yeokhakseo documents were scrutinized. Especially through the construction and structure in 「Joseongwan-yeogeo」(朝鮮館 譯語), which is the teaching material of Joseon-gwan within 『Hwayi-yeokeo』(華 夷譯語) as the textbook of Sai-gwan that is the training institution for interpreters in the Ming Dynasty of China. The structure and classification in‘vocabulary-semantic’were examined using Sino-Korean words with the high lexical production in Korean language education. Additionally, the aim was to identify the possibility of the desirable Joseon language(朝鮮語) vocabulary education and instruction in 「Joseongwan-yeogeo」(朝鮮館譯語) in terms of modern foreign-language vocabulary education through the teaching-learning comparison with the“semantic field approach”that is a traditional lexical access education and the modern vocabulary teaching method in China.&#x0D; This paper discusses the diverse methods that find effective vocabulary teaching methods and vocabulary education in Korean language education. At the point in time that arranges an alternative plan for Korean language education that will satisfy the characteristics and needs of learners in each language sphere, we discuss vocabulary use and education seen in 「Joseongwan-yeogeo」(朝鮮館譯語), the teaching material of Joseon language in Sai-gwan(Hoedong-gwan) interpreter during the Ming Dynasty of China. This is considered an opportunity for follow-up research along with a suggestion of the modern Korean-language vocabulary education.