Reviewerly/exHarmony huggingface dataset:
Finding a Solution to the Problem "Low level of Scientific for Some Students in the High Schools", Using Hypermedia Technology online

The development of educational tools is a very important target, encourage us to seek methods to improve and increase student education level. In this paper, the method to keep pace with the developments in technology is discussed and investigated in this field. On the other hand, it has compatibility with teaching methods in general, by using hypermedia technology to improve the student education level in preparatory school. This study is on the theoretical approach to specify and design the suggested prototype, ten schools randomly had been chosen in Karbala governorate as a sample within the boundaries spatial of study, select criteria prototype's work, because of it cannot replace the teacher, made a questionnaire for choosing schools which are covered in this work domain in prototype.
POLYNOMIAL ALGORITHM FOR FINDING A HAMILTONIAN CYCLE ON A GRAPH

The subject of research is the solution of the problem of finding a Hamiltonian cycle on a graph, which in discrete mathematics belongs to the NP complexity class and still retains interest. The aim of this work is to develop a new algorithm for solving this problem, which guarantees finding the optimal solution with polynomial time. In [1], an analysis of the current state of the problem was performed, the shortcomings of existing methods of solving were noted, and new principles and method of finding solution were presented. Known methods for solving the problem are based on the implementation of a search of possible solutions or on intuitive heuristics. Enumeration methods of solutions are unacceptable in terms of costs, since they characterized by non-polynomial time. Heuristic methods are satisfactory in time, but they do not guarantee finding the optimal solution. The popularity of enumeration methods is explained by the linear simplicity of searching in a pre-known set of acceptable solutions to the problem. But the factorial dependence of the power of the set of solutions (n-1)! from the number of vertices of the graph n makes it impossible to use such methods for large-size problems in practice. The desire to significantly reduce time costs leads to attempts to reasonably reduce the enumeration set or to the development of various heuristics, which actually indicates that it is impossible to formulate conditions for finding the optimal solution to the problem as a whole. This article describes the conditions that determine the optimal solution of the problem and a polynomial algorithm for solving the problem that embodies the described method. Finding the optimal solution to the problem is reduced to finding a closed path in a new graph of shortest paths. The shortest paths graph built on the original graph of the problem by using Dijkstra's algorithm. The enumeration set for determining the optimal solution of the problem consists of solutions that are constructed from each vertex of the source graph in the shortest paths graph. The size of this set is estimated as n(n-1). The developed parallel algorithm guarantees finding the optimal solution, significantly reduces the initial search space, and allows you to find a solution with polynomial complexity. Testing of the program showed the efficiency of the developed method and algorithm for solving the problem.
Teaching Software Architecture Patterns Using ACME Language: تدريس أنماط معمارية البرمجيات باستخدام لغة أكمي

Software Architecture is one of the most important courses, in computer science discipline. It has many branches all of them aimed to prepare students to be architects on the industry. But actually, there is a gap between what the students find on the theoretical courses and what they find on the industry. On other words, the practical experience differs from academic theory. So the question is how to prepare students to join the industry? Abstract nature of the software engineering courses as general and software architecture in a special manner, led to difficulties in understanding, this raises the second question, how to make these courses understandable? All previous studies focusing on these problems either by changing course curricula or by using software tools. This paper extension for the previous study [1] as we survey Architecture Description Languages (ADLs) and conclude that ACME is a general-purpose language and it may be suitable for use as practical part for software architecture curricula. We aimed to design a framework use, ACME language, use it as a practical part of the software architecture course and supporting on teaching, focus on architecture patterns, thus we use most common architecture patterns layer and Pipes-Filters, starting with a simple example and increase the complexity.
LibGuides: Broadcasting: More Help

This Library Guide will help students find the resources they need for their broadcasting research.
교직과목 ｢교육행정｣ 수업에 관한 질적 사례 연구

This study attempted to find the meaning of the teaching subject Educational Administration” for pre-service teachers. To that end, a qualitative case study method was conducted, targeting the teaching subject Educational Administration” class. The result showed that pre-service teachers took this class mainly because they were to prepare for the teacher’s exam and to fill required credits. In the early and mid-terms of the classes, they felt difficulty in finding pedagogical implications. However, as the class moved toward the end, they were able to realize the teaching subject “Educational Edministration” as being a useful subject. Pre-service teachers discovered that this class helped them to think about what ideal education is and enhanced their identity as teachers. After the classes, pre-service teachers hoped to learn about actual educational administration and to cultivate their reflective and education- administrational thinking. The conclusions of the study are as follows. First, it is necessary to create alternative methods for cultivating educationadministrational thinking and reflective thinking, which were required by pre-service teachers. Second, it is important for pre-service teachers to be in frequent contact with education administration from early on and to establish a sense of familiarity with the teaching subject “Educational Administration” in advance. Third, it is crucial to reorganize the contents of the teaching subject Educational Administration” and develop suitable teaching methods for preparing students for the teaching profession.
Contribuições do estudo de usuários (as) para a construção de produtos e serviços arquivísticos: um estudo de caso

The article is a report of research that aims to investigate how the study of users can contribute to the construction of archival products and services. This is an exploratory and descriptive case study, carried out at the General Archive of Paraiba Previdencia (PBPREV). It is characterized as field research, of a quantitative and qualitative nature and applied nature. To collect the data, semi-structured interviews and a questionnaire were used. For the analysis, the content analysis technique was used. The research made it possible to outline the profile of the users, the information needs, and their satisfaction with the products and archival services and found that the internal users of the General Archive of PBPREV did not clearly define archival products and services, so they were unable to identify and suggest examples of them. The results made it possible to list some archival products and services to be applied in the environment of this research and the other archives, to improve the management in these information units. It is considered extremely important to make archives managers aware of the need to conduct a user study as a fundamental information source to create archival products and services.
Self-Educational Activity Formation Of University Students In Teaching Mathematics In Digital Environment

The success of students' professional activities depends on the formation of their readiness for selfeducation.The high dynamism of the modern world, the growing needs of the economy, the ongoing changes in labor markets and marketing lead to the reduction of adaptation periods of the graduates of higher education to work, and increase the requirements for their mobility and competitiveness.Modern pedagogy considers the formation of self-education skills and abilities as the highest stage of learning and one of the necessary conditions for lifelong learning, which is based on self-learning.Self-education is characterized by active cognitive needs and interests, effective internal motivation of a person to satisfy them, the manifestation of significant will efforts, high degree of consciousness and organization.The paper discloses the conditions for the formation of self-educational activity in the process of teaching mathematics in a digital educational environment.In the context of digitalization of the educational system, scientific and methodological work presents a particular value.A feature of the digital educational environment is the ability of students and teachers to access educational multimedia resources, structured educational and methodological materials at any time and from any device with the Internet access, as well as continuous communication with a teacher, on-line or off-line guidance and individual "navigation" while completing a task.The main goal of the educational process in mathematics is not only the assimilation of knowledge, but also the mastery of methods of this assimilation, development of cognitive needs and the creative potential of students.
Evi Michitaka’s View of History Education and Elementary History Class in Japanese Colonial Period

Existing studies history education in Japanese colonial period were mainly conducted on the basis of history education courses and textbook analysis. Of course, the impact of history education courses and textbooks is also significant for history education. However, it is difficult to discuss history education at that time except for teachers and students who teach and learn in actual classes. Therefore, deliberation and research on the practice of classes in history education are urgently and seriously needed. In this paper, we are going to look into practices of elementary history lesson through history teacher Evi Michitaka"s a teaching guide and teaching book.<BR> While Evi Michitaka worked as an instructor at Gyeongseong Normal School, he actively published 37 articles in the magazine of 『Education Research in Joseon』, including articles on history education, teaching guidelines, teaching materials, and teaching points. According to the result analyzing his writings, the purpose of his history education is to strengthen the ideology of the Japanese emperor, which was related to the fusion of Japan, Joseon and ideological education. In addition, methods of history education he proposed included ‘① empathy’, ‘② life guidance’, ‘③ use of visual teaching materials’, ‘④ child-centered learning methods’, ‘⑤ narrative methods’.
Geochemical Characteristics of the Awe Basaltic Rocks within the Middle Benue Trough, Northcentral Nigeria.

The Awe basaltic rocks are located in Awe Local Government Area, Nasarawa State, part of Middle Benue Trough, North Central Nigeria. This study presents new geochemical characteristic of basalts of the Awe volcanoes within the Middle Benue Trough with a focus on their origin and evolution. The volcanic plugs which are essentially basaltic, extruded the sedimentary deposits of Asu River Group, Awe and Keana Formations. A total of fourteen (14) basaltic rock samples were analyzed for major, trace and rare earth elements using ICPMS. Major oxide trends show that the rocks are product of fractional crystallization with partial melting playing an important role in their evolution. On the TAS classification diagram, the rocks expressed narrow variation in their composition ranging from typical basalts to trachybasalt  hawaiite. Further geochemical data revealed that the basalts are predominantly alkaline affiliated, emplaced within-plate intracontinental rift (extensional) setting and enriched deep mantle source reservoir. Similarly, their enrichment in Light Rare Earth Elements (LREE) relative to Heavy Rare Earth Elements (HREE) are comparable to those from EMORB and OIB, supportive of rocks derived from enriched alkaline magmatism. Also, incompatible element ratios Zr/Nb; Ba/La; La/Nb, La/Yb and Ba/Nb. Thus, the geochemistry of the Awe basalts supports a plume source origin for the rocks.
Research on Data-based Curriculum Teaching Design under the Condition of Information : -Take the practical application of Rain Classroom in the course teaching of "Electronic Technology and Application" as an example

The popularization of smart classrooms and smart teaching tools in colleges and universities under the conditions of information technology, multi-channel interaction and panoramic data collection, drives continuous changes in teaching. Taking the application of intelligent teaching tool rain classroom in the course of Electronic Technology and Application as an example, this paper discusses the course teaching design of data-based precise learning situation analysis before class, accurate knowledge transfer in class, accurate knowledge consolidation after class, teaching evaluation and teaching reflection. It provides reference for the course teaching design under the condition of informationization.
Presenting a Proper Ensemble Clustering (EC) Method Based on Hierarchical Methods and Classical Generative Algorithms

Ensemble Clustering (EC) methods became more popular in recent years. In this methods, some primary clustering algorithms are considered to be as inputs and a single cluster is generated to achieve the best results combined with each other. In this paper, we considered three hierarchical methods, which are single-link, average-link, and complete-link as the primary clustering and the results were combined with each other. This combination was done based on correlation matrix. The basic algorithms were combined as binary and triplicate and the results were evaluated as well. the IMDB film dataset were clustered based on existing features. CH, Silhouette and Dunn Index criteria were used to evaluate the results. These criteria evaluate the clustering quality by calculating intra-cluster and inter-cluster distances. CH index had the highest value when all three basic clusters are combined. our method shows that EC can achieve better results and present clusters with higher robustness and accuracy.
Generating preferred plans with ethical features

&#x0D; &#x0D; &#x0D; Normative ethics has been shown to help automated planners take ethically aware decisions. However, state- of-the-art planning technologies don’t provide a sim- ple and direct way to support ethical features. Here, we propose a new theoretical framework based on a con- struct, called ethical rule, that allows to model prefer- ences amongst ethically charged features and capture various ethical theories. We show how the framework can model and combine the strengths of these theories. Then, we demonstrate that classical planning domains extended with ethical rules can be compiled into soft goals in PDDL.&#x0D; &#x0D; &#x0D;
Animated Cartoon Film Discussion: Role in Improving Speaking Skill

This study aims to investigate how cartoon film based-discussion can improve students’ speaking. This Classroom Action Research was conducted at SMA Muhammadiyah 3 Jember. The subjects of the study were 22 female and 10 male students. The data were collected through English speaking test. From the test result, cartoon film based-discussion was very effective; there was a significant increase in student’s speaking skill (M=76.09 in Cycle 1 to M=77.28 in Cycle 2) and students’ active participation (76.56% - 79.68%). This leads to conclusion that cartoon film based-discussion can improve students’ speaking and active participation by three main factors; First, they can discuss about particular topics in the discussion before taking the Speaking test. Second, cartoon film succeeds to stimulate students’ mind in collecting vocabularies during watching. Third, students’ grammar and pronunciation are also increased because they are accustomed to the structure of English subtitle provided in the movie.
Penerapan Sistem Informasi Pencarian Tata Letak Buku Pada Perpustakaan Fakultas Ilmu Sosial Dan Ilmu Politik Universitas Malikussaleh

In the library of the Faculty of Social and Political Sciences, the search process for book layouts has not been well organized, where students and officers are still doing the seacrh process manually, namely officiers and students will come one by one books helves to find where the desired book is located. A process like this can complicate and slow down staff and students in the process of seacrhing for books, so that the author builds a web-based book layout search system that is more optimal and well-organized. To make it easier for students to find the location of the desired book and reduce the problems that occur in the book search process and help the staff work process more efficiently. This book layout search system is web-based, making it easier for students to find the desired book. The steps used in this research are requirements analysis, system design and system testing. The design of this system is designed using structured diagrams, namely Context Diagrams, data flow diagrams or called DFD, Entity Relationship Diagrams (ERD) and database design or called file design or called file design using MySQL. Meanwhile, for data collection using observation and literature study
MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare

Every year, health insurance fraud costs taxpayers billions of dollars and puts patient’s health and welfare at risk. Existing solutions to detect fraudulent providers (hospitals, physicians, etc.) aim to find unusual pattern at claim level features but fail to harness provider-provider and provider-patient interaction information. We propose a novel framework, Med-Dynamic meta learning (MeDML), that extends the capability of traditional fraud detection by learning patterns from 1) patient-provider interaction using temporal and geo-spatial characteristics 2) provider's treatment using encounter data (e.g. medical codes, mix of attended patients) and 3) referral using underlying provider-provider relationships based on common patient visits within 30 days. To the best of our knowledge, MeDML is first framework that can model fraud using multi-aspect representation of provider.MeDML also encapsulates provider's phantom billing index, which identifies excessive and unnecessary services provided to patients, by segmenting frequently co-occurring diagnosis and procedures in non-fraudulent provider's claims. It uses a novel framework to aggregate the learned representations capturing their task-specific relative importance via attention mechanism. We test the dynamically generated meta embedding using various downstream models and show that it outperforms all baseline algorithms for provider fraud prediction task.
Preliminary results on the slip history of the Pazarcik Segment of the East Anatolian Fault (Turkey): Insights from the integrated analyses of ASTER T-1 and Landsat 8 OLI multi-spectral imagery-based lithological mapping

&amp;lt;p&amp;gt;Multi-spectral satellite imagery becomes a powerful tool in analyses of the earth&amp;amp;#8217;s surface in various aspects, including tectonic studies. There are many worldwide samples of such studies, documenting the distribution of faulting or deformation of lithological units especially in arid, semi-arid regions. The East Anatolian Shear Zone and its most prominent member, the East Anatolian Fault (EAF), is part of such a region, where the modern techniques of remote sensing can provide information on the history of this transform fault system. The EASZ and the EAF, together form the eastern boundary of the Anatolian Block, which in this study, we compare the efficiency of Advanced Space Borne Thermal Emission and Reflection Radiometer (ASTER) and Landsat-8 Operational Land Imager (OLI) images in the discrimination of lithological formations and the Pazarcik Segment of the EAF. First, we used the band combinations of 2/5/1 and 7/3/1, then 4/3-6/2-7/4 and 1/3-1/9-3/9 band ratios were independently selected in order to make an additional evaluation of the lithological discrimination for Landsat 8 OLI and ASTER T1 images, respectively. In the last stage, we used Principal Component Analysis (PCA), which provided a richer colour spectrum than the Band Combination and Band Ratio methods. The preliminary joint-analysis of these three methods allowed us to better understand the basin geometry along this part of the Pazarcik Segment. Accordingly the northern part of the Golbasi basin which hosts the Golbasi Lake, presents a rhomboidal geometry whereas the southern part is divided from the north with a wedge-shaped basin geometry. Towards southwest of the Pazarcik Segment, the Kisik River is left-laterally offset about ~4.8 km which is detectable on the band ratio images. Most critically, the image analysis highlight a geological offset along the Pazarcik Fault Segment at the Golbasi Lake side of the Hoya Formation. A left-lateral cumulative offset of ~11 km is measured along the displaced Hoya formation favouring the hypotheses of either a diachronic origin for the northern and eastern tectonic boundaries of Anatolia, among which the northern one highly exceeds the eastern boundary in terms of total slip, hence the age, or a wider shear zone where the total strain has been shared among parallel/sub-parallel segments.&amp;lt;/p&amp;gt;
AS DOENÇAS CRÔNICAS NÃO TRANSMISSÍVEIS NO CONTEXTO DA PANDEMIA DA COVID-19 NO ESTADO DA BAHIA

The first case of Covid-19 in Brazil was registered in February 2020 and, on March 3, in the state of Bahia. Among the groups of greatest vulnerability to worsening and deaths from Covid-19, those with Chronic Non-Communicable Diseases (NCDs) stand out, with heart disease being the main associated comorbidity, followed by diabetes. Therefore, this study analyzes the relationship between deaths from NCDs and Covid-19, in the state of Bahia, from January to November 2020. This is an exploratory, descriptive study of a quantitative approach. Secondary data from the Mortality Information System (SIM) and from the linkage of other official banks (FORMSUS, Sivep-Gripe and GAL) were used. Until of November 10, 2020, 5,599 deaths were reported by Covid-19 in the general population. In the age group considered premature for NCDs (30 to 69 years old), the highest prevalence was in men (58.3%) and the comorbidities that showed the highest proportions were cardiovascular diseases (66.4%) and diabetes mellitus (46.0%). The study findings indicate a higher probability of death among individuals with comorbidities, showing the importance of formulating and implementing coordinated and integrated health protection and promotion actions.
A Fast Clustering Method for Real-Time IoT Data Streams

As an effective way of data analysis, clustering is widely applied in the IoT based applications. By studying the related existing proposals of data clustering, a new clustering method for IoT Data streams is proposed in the present work. Firstly, the characteristics of PML documents in the process of data acquisition and identification are introduced and a hybrid PML document similarity calculation method based on the Bayesian network is developed and expected to assist in data streams clustering. Secondly, a PML data streams clustering method based on a dynamic sliding window is proposed. Finally, we evaluate the performance of our clustering method and the related methods with respect to Running time, Similarity, Purity, Entropy, and F-measure. Experimental results exhibit that the innovative clustering approach can adaptively learn from data streams that change over time, while still maintains comparable accuracy and speed.