Reviewerly/exHarmony huggingface dataset:
Books from Sofia library in the cyrillic book collection at the Russian state library

The article tires to identify early printed editions from Novgorod churches and monasteries as part of the Russian State Library (RSL) collection. It shows the way they got to the RSL and provides a method for their attribution. In the XVIII century, the books were collected in the St. Sophia Cathedral library in Novgorod. In the middle of the XIX century, some of them were brought to the library of the St. Petersburg Theological Academy. In the 1870s, the idea of exchanging book duplicates between the St. Petersburg Theological Academy and the Moscow Public and Rumyantsev’s Museums arose. It was supported by His Eminence Metropolitan of St. Petersburg, Novgorod and Finland Isidore. In 1874, the Rumyantsev’s Museum received 126 books. Among them, there were books from the Kirillo-Belozersk Monastery, the Sofia Library and some items of an unknown origin (without owner's signs). The article shows the methodology and process of attribution the books from Novgorod monasteries and churches based on the study of owners’ signs (for example, dedicatory inscriptions, authographs and other notes) taking in account the history of the Sofia Library collection. There were some contributions from the nobility, for example, D. M. Bashmakov, a statesman of the 17th century; or Princess Natalia Kirillovna, a mother of Peter I, who made a donation to the Novgorod Convent of Great martyr Euphemia the Glorious. This fact allows us to look at the history of monastic libraries in a more detailed way exploring their parts. The attribution of the books of Novgorod origin at the RSL collection illustrates the research method for regional Cyrillic book collections, which for the most part remains unexplored.Keywords: the early Cyrillic printed books, the Sofia Library, Novgorod Books, editions of the Moscow Printing House, the history of libraries, St. Petersburg Theological Academy, monastic and church libraries, books of Ancient Russia, regional collections of old printed books.
Possible Fault Communication between the Memphis Sand Aquifer and the Mississippi River

ABSTRACT The Eocene Memphis Sand aquifer is the major source of drinking water for municipalities in the upper Mississippi Embayment, with the city of Memphis, TN, being the largest consumer. Concerns about contamination of the Memphis aquifer from surface waters have primarily focused on local groundwater transmission through the Upper Claiborne aquitard and erosional windows through the aquitard. This study used recent fault mapping to show that faults extend upward from the Memphis aquifer to very near the surface in and adjacent to Memphis. The Meeman-Shelby and Cuba faults extend under the Mississippi River and upward to the base of the Mississippi River alluvium. Groundwater levels (potentiometric surface) in Memphis aquifer monitor wells H002 and LdF 004 and the Mississippi River water levels during the years of 2007 through 2011 show strong correlation (0.744829 and 0.779691, respectively). We believe this correlation may be due to direct connection through fault zones.
THE EFFECTIVENESS OF USING WORD WALL-BASED LEARNING MEDIA IN INCREASING STUDENTS’ LEARNING ACTIVITIES ON ECONOMY LEARNING SUBJECTS AT SMA PGRI PEKANBARU

This paper analyzes students’ learning activities using word wall-based learning media. The research was conducted at SMA PGRI Pekanbaru in class X of Social Science. The research used an experimental approach with the One Group Pretest Posttest Design model. Data collection techniques used questionnaires and observation sheets. Students’ learning activity data were obtained through questionnaires. Meanwhile, based on the use of word wall learning media, data were obtained through observation. Data analysis techniques used t-test and Normality Gain (N-gain). The results indicate that the use of word wall learning media was effective in increasing students’ learning activities. It can be seen from the improvement of students’ learning activities from medium to high. Thus, it is expected for teachers, in order to achieve better results in students’ learning activities, this learning media can be used, especially in Economy learning subjects in Senior High School. In addition, further researchers can conduct the same study based on different learning subjects. Because, in addition to increasing students’ learning activities, word wall learning media can improve students’ learning outcomes and motivation.
The Analysis Of The Effect Of Emotional Intelligence On Understanding Level In Programming Algorithm Learning

The course Algorithms and Programming in the Informatics Engineering study program is given in the first and second semesters, as this course is a scientific course that serves as a basis for advanced programming courses in higher semesters. It is often the case that intelligent graduates obtain good academic grades during their studies and become outstanding students, but when working in their field of expertise, their performance is not as good as graduates who had lower academic grades. Success is not only determined by intellectual intelligence (IQ), but also by other types of intelligence. Intellectual intelligence or cognitive intelligence is one type of intelligence, while non-intellectual intelligence includes other types of intelligence outside of cognitive intelligence. One of this non-intellectual intelligence is emotional intelligence. Intellectual intelligence and non-intellectual intelligence play equally important roles in supporting individual success.&#x0D; This research discusses the analysis of the effect of emotional intelligence on the level of understanding of algorithms and programming using the linear regression method implemented with an application. The sample taken is students of the Informatics Engineering study program in the third and fourth semesters. With the results of the influence of emotional intelligence on the understanding of Algorithms and Programming, it can provide a solution to improve students' understanding of the Algorithms and Programming course and other computer courses in the scientific field of the Informatics Engineering study program. The application is created using the Python programming language
The Later Universe

This new graduate textbook adopts a pedagogical approach to contemporary cosmology that enables readers to build an intuitive understanding of theory and data, and of how they interact, which is where the greatest advances in the field are currently being made. Using analogies, intuitive explanations of complex topics, worked examples and computational problems, the book begins with the physics of the early universe, and goes on to cover key concepts such as inflation, dark matter and dark energy, large‑scale structure, and cosmic microwave background. Computational and data analysis techniques, and statistics, are integrated throughout the text, particularly in the chapters on late-universe cosmology, while another chapter is entirely devoted to the basics of statistical methods. A solutions manual for end-of-chapter problems is available to instructors, and suggested syllabi, based on different course lengths and emphasis, can be found in the Preface. Online computer code and datasets enhance the student learning experience.
Foundations

This new graduate textbook adopts a pedagogical approach to contemporary cosmology that enables readers to build an intuitive understanding of theory and data, and of how they interact, which is where the greatest advances in the field are currently being made. Using analogies, intuitive explanations of complex topics, worked examples and computational problems, the book begins with the physics of the early universe, and goes on to cover key concepts such as inflation, dark matter and dark energy, large‑scale structure, and cosmic microwave background. Computational and data analysis techniques, and statistics, are integrated throughout the text, particularly in the chapters on late-universe cosmology, while another chapter is entirely devoted to the basics of statistical methods. A solutions manual for end-of-chapter problems is available to instructors, and suggested syllabi, based on different course lengths and emphasis, can be found in the Preface. Online computer code and datasets enhance the student learning experience.
Dark Matter

This new graduate textbook adopts a pedagogical approach to contemporary cosmology that enables readers to build an intuitive understanding of theory and data, and of how they interact, which is where the greatest advances in the field are currently being made. Using analogies, intuitive explanations of complex topics, worked examples and computational problems, the book begins with the physics of the early universe, and goes on to cover key concepts such as inflation, dark matter and dark energy, large‑scale structure, and cosmic microwave background. Computational and data analysis techniques, and statistics, are integrated throughout the text, particularly in the chapters on late-universe cosmology, while another chapter is entirely devoted to the basics of statistical methods. A solutions manual for end-of-chapter problems is available to instructors, and suggested syllabi, based on different course lengths and emphasis, can be found in the Preface. Online computer code and datasets enhance the student learning experience.
Dark Energy

This new graduate textbook adopts a pedagogical approach to contemporary cosmology that enables readers to build an intuitive understanding of theory and data, and of how they interact, which is where the greatest advances in the field are currently being made. Using analogies, intuitive explanations of complex topics, worked examples and computational problems, the book begins with the physics of the early universe, and goes on to cover key concepts such as inflation, dark matter and dark energy, large‑scale structure, and cosmic microwave background. Computational and data analysis techniques, and statistics, are integrated throughout the text, particularly in the chapters on late-universe cosmology, while another chapter is entirely devoted to the basics of statistical methods. A solutions manual for end-of-chapter problems is available to instructors, and suggested syllabi, based on different course lengths and emphasis, can be found in the Preface. Online computer code and datasets enhance the student learning experience.
Investigation of the Relationship between Individual Innovation Profiles of Special Education Teacher Candidates and Their Tendency towards the Use of Technology in Class

The purpose of this research is to examine the relationship between the individual innovativeness profiles of special education teacher candidates and their tendencies towards technology use in the lesson. The study group of the research designed in the survey model consists of 194 special education teacher candidates. Research data were obtained with “Personal Information Form”, “Individual Innovativeness Scale”, and “Scale of Tendency towards the Use of Technology in Class”. Descriptive statistics, t-test, one-way analysis of variance, and Pearson correlation analysis were used to analyze the data. The research will contribute to the literature by revealing the relationship between the individual innovativeness profiles of special education teacher candidates and their tendencies towards the use of technology in the course, and the findings will be guiding for relevant individuals and institutions in terms of both research to be made in the field of innovation and professional development of special education teachers in terms of their professional development is considered.
<i>Cartography of Touch</i>: Transformation of Touch through Anatomical Projections

Abstract Both the conception of how people connect changes with the evolution of technology and the circumstances under which we interact changed drastically with the onset of the global COVID-19 pandemic and have changed again during the decline of the pandemic threat. With the art installation Cartography of Touch, the author uses digital and physical media (3D printing and projection mapping of human physiology) to demonstrate the need for human touch. The installation depicts response to touch as the joining of the technological age and the need for essential human interaction through physical touch, which cannot be replaced, using plastic human hands with artificial responses.
Testing Longitudinal Measurement Invariance of a Career Maturity Scale Through an Item Parameter Drift Analysis

The purpose of this study is to examine longitudinal measurement invariance of a career maturity scale for middle school students through an item parameter drift (IPD) analysis. Data obtained from the middle school panel participating in the Daegu Education Longitudinal Study (DELS) for 3 years were analyzed. Career maturity was measured with polytomous items, and IPD items were detected for the first and the second grade and for the second and the third grade using the likelihood ratio test based on the graded response model. As a result of the IPD analysis, it was found that IPD was detected for 3 items (items 1, 2, and 10) between the first and the second grade and for 4 items (items 1, 2, 6, and 8) between the second and the third grade. Among them, items 1 and 2, which were consecutively flagged as IPD, are self-understanding questions, and the average score of self-understanding items gradually decreased although the step parameters of those items became smaller. As a result, it was found that the IPD items caused a large decrease in the average item scores of career maturity. This suggests that if the IPD items are used without testing longitudinal measurement invariance, the difference may look larger than what it actually is.
The effect of the construction of mixed anchor items on the test equating in mixed-format tests

With the introduction of innovative items in the computer-based NAEA, the item format became diversified, and the current method of selecting anchor items from multiple-choice (MC) items became burdensome for test developers. The purpose of this study is to examine whether a mixed-format anchor items including both MC and constructed-response (CR) items could hold the stability of equating in the NAEA, and give desirable direction to expand the range of anchor items and to make test construct flexible. A simulation study was conducted based on a common-item non-equivalent group design with the test conditions of the Korean subject in the NAEA. The treatment conditions include (1) a type of anchor item set (a single MC or a mixed), (2) a composition type of mixed anchor item (MC:CR = 1:1, 3:2, or 3:4), (3) a length of mixed anchor items within a test (25%, 22%, or 19%), and (4) the presence of multidimensionality according to the item format were assumed. The main result is that there was no significant difference in the equating error between the single MC and the mixed anchor item condition. Specifically the equating error of the single MC was smaller than that of the mixed-format cases where the ratios between MC and CR were 1:1 and 3:2. In the 3:4-ratio mixed condition, the equating error was smaller than that of the single MC condition. A length of mixed anchor items within a test showed somewhat mixed results, probably because there was not much variation between the conditions in the composition ratio, about 20% in test. When there was multidimensionality according to the item format in the test, the equating error increased significantly with mixed anchor items compared to that of unidimensional test condition. In sum, about 20% of the mixed anchor items with slightly higher CR ratio was found to be suitable in the unidimensional test and caution was called for in using mixed anchor items in multidimensional test.
Analysis of Elementary School Teachers’ Usage and Demands of Practical Arts Textbooks

This study was conducted to analyze the use of elementary school classrooms and textbooks developed by the 2015 revised curriculum and the needs of elementary school teachers for efficient textbook utilization. To achieve the purpose of the study, a survey was conducted targeting elementary school teachers who had experience teaching practical arts subjects using practical arts textbooks, and a total of 221 responses were finally analyzed. The collected quantitative data were subjected to frequency analysis and cross-tabulation to derive the results. From the results, it was revealed that there was a difference in the frequency of use of classroom textbooks according to the gender, teaching experience, school size, and classroom experience of elementary school teachers. In addition, “dietary life” and “software” were the areas with the highest utilization in elementary practical arts textbooks. Moreover, the elementary school teachers displayed a high use of materials other than textbooks in practical arts classes, reflecting that classes using materials other than textbooks could be conducted more efficiently. Finally, the results revealed that teachers had a high demand for developing and providing various supplementary materials to increase the utilization of practical arts textbooks. Based on these results, it will be necessary to develop textbooks with increased practical usability by synthesizing the actual use and demands of the field to develop textbooks for the 2022 revised curriculum.
Analysis of Community Needs and Improvement Plan for Cultural Diversity Promotion Program

The purpose of this study was to determine improvement measures by analyzing the needs of the community for cultural diversity promotion programs. For the research study, 271 institutions/organizations related to cultural diversity and 8 experts were randomly selected as subjects of a survey. The survey tool was developed with 11 questions for the survey and 8 questions for the expert survey, and the SPSSWIN 22 statistical program was used to apply cross-tabulation and mean difference analysis to the survey content of 137 institutions/ organizations that responded. In addition, the expert survey content was analyzed according to expert type, and then the analysis content was synthesized and analyzed by subject.&#x0D; Although the importance and necessity of the cultural diversity promotion program were considered very high, the satisfaction level was low. The demands revealed in the survey and expert survey included the following: the selection and support of institutions/organizations with expertise; the cultivation and securing of professional manpower; development and promotion of various programs that reflect the characteristics and needs of the community; securing a sufficient budget; and administrative and financial support. It was found that active publicity and the establishment of an archive for the sharing and dissemination of program promotion results. To improve cultural diversity promotion programs based on these research results, the following were considered essential: establishment of a program promotion system; development and promotion of cultural diversity promotion programs that reflect the characteristics and needs of the community; securement of human and material resources; securement and execution of sufficient budgets; improvement of operational processes; establishment of a public-private partnership network; and establishment and operation of a cultural diversity promotion center (tentative name).&#x0D; Therefore, to derive systematic operation and effect through the improvement of cultural diversity promotion programs, create organic connections between government departments and local communities, secure and utilize local experts, secure and execute budgets fairly, and differentiate according to the characteristics and needs of local communities, it is necessary to further develop and promote existing programs and actively participate and sympathize with local residents.
Effects of English Writing Education in Offline/Online Classes

The purpose of this study is to compare and analyze how effective teaching English writing is for students through both online classes, which were held due to the global spread of the corona epidemic, and current offline classes. This study aims at the effects of offline/online classes actually conducted in the English writing class for students majoring in English, and explores how effectively the improvement of students’ writing ability and the correction instruction of the writings are made in offline/online classes based on actual class contents. The immediate correction for each learner’s writing is performed well in online classes which mainly deals with controlled and guided writing, whereas free writing and group work activities are proved to be effective in offline classes. As a result, it could be confirmed that the instructor’s teaching strategy, which can be appropriately utilized in offline/ online classes, plays an important role in improving the educational effect of English writing instruction.
POI Recommendation Algorithm Based on Geographical Information Matrix Decomposition

The location-based social network (LBSN) is expanding day by day, and people are willing to share their location information. Aiming at the problem that the user-point-of-interest matrix is sparse and it is difficult to obtain the user's preference for candidate locations from implicit feedback, which affects the accuracy of point-of-interest recommendation, this paper proposes a matrix factorization point-of-interest recommendation algorithm (GMF) that integrates geographic information. First, this paper reconstructs the user access location preference matrix by using the characteristics of geographic information conforming to kernel density estimation to alleviate the problem of matrix data sparsity; then, in order to enhance the effectiveness of the matrix decomposition model, we improve the objective function of matrix factorization in the form of an implicit feedback term; Finally, it is verified on the two real datasets, and the results show that the performance of the algorithm is better than other POI recommendation algorithms.
Research and Optimization of Summary Extraction Method Based on RoBERTa

The number of texts on the Internet is large and growing. Using technical means to quickly obtain key information from massive texts and refine them into high-quality abstracts will effectively help people save time. The simple extractive abstract model based on the pre-training language model only uses Sentence-level information is extracted, ignoring the text-level text features and the correlation between texts. Therefore, an improved extractive abstract model is proposed, on the basis of the Roberta model, the transformer self-attention mechanism is further used to retain the information at the chapter level. Finally, a comparative experiment is carried out. The experimental results show that the model has achieved better results than the basic extraction model based on bert.
Exploring the Performance of Pruning Methods in Neural Networks: An Empirical Study of the Lottery Ticket Hypothesis

In this paper, we explore the performance of different pruning methods in the context of the lottery ticket hypothesis. We compare the performance of L1 unstructured pruning, Fisher pruning, and random pruning on different network architectures and pruning scenarios. The experiments include an evaluation of one-shot and iterative pruning, an examination of weight movement in the network during pruning, a comparison of the pruning methods on networks of varying widths, and an analysis of the performance of the methods when the network becomes very sparse. Additionally, we propose and evaluate a new method for efficient computation of Fisher pruning, known as batched Fisher pruning.