Reviewerly/exHarmony huggingface dataset:
Focused Crawler Strategy Based on Improved Energy Landscape Paving Algorithm

The traditional crawlers have difficulty in implementing semantic analysis. Therefore, the focused crawler technologies with topic preference characteristics have received many attentions in the recent years. To increase the precision of focused crawlers and prevent “topic drifting”, this paper adopts the comprehensive relevancy evaluation (CRE) of hyperlinks based on the combination of web content and link structure. In addition, the improved version of the energy landscape paving (ELP) algorithm that is a class of metropolis-sampling-based global optimization method is proposed to avoid the focused crawler falling into local optima. By incorporating the CRE strategy into the improved ELP, a novel focused crawler strategy denoted by IELP is proposed. The experimental results on rainstorm disasters domain show that the precision of the proposed focused crawler is obviously promoted compared to other focused crawlers in literature, illustrating the ability of the IELP to retrieve topic-related web pages.
OS-Learn: Mobile Learning Application for Operating System with Augmented Reality

Theoretical subjects or courses are often disliked among students due to its massive load of information which often lead to misconception or confusion. As a result, most students would resolve to rote learning instead. The refore, the purpose of this research is to design and develop OS - Learn, a mobile appli cation created to help students in learning theoretical subjects such as operating systems concepts . The core element of OS - Learn would be active engagement, such as the use of visualization and improving memory retention. OS - Learn use AR elements as part of its visualization technique . ADDIE m odel was selected as the framework to design and develop the application. U ser acceptance testing w as performed after the development phase to obtain feedback from potential users whic h are university students. Thirty students were selected to evaluate the mobile app based on its design, navigation, and content. Each respondent was given set of tasks and were required to complete a questionnaire based on their experience using the app li cation . The outcome was mostly positive where most respondents were satisfied with the overall design of the mobile application . F eedback and suggestions were also collected then reviewed to make necessary adjustments to the application before being deployed.
Training English for Educator at SMP Angkasa, Tuban – Kuta, Bali

This program aims to give English training to Educator at SMP Angkasa, Tuban-Kuta, Bali. In general, the priority problems faced by educators in SMP Angkasa are the low quality of spoken and written English communication in understanding English vocabulary which is often used in the learning process. This is due to a lack of mastery of English vocabulary, lack of understanding of English theory, and lack of motivation to improve their English language skills. Besides that, most of the educators at SMP Angkasa are educators from various disciplines, so mastering English for them is not a priority. The training is focused on providing material on how to communicate well in transferring learning materials to students by communicating in English. Enrich the vocabulary that is often used by educators in the implementation of the teaching and learning process. This community service activities uses methods in the form of application of science and technology with an orientation towards providing English language training and training in communication skills through lectures, demonstrations, and questions and answers. From the English training given to educators at SMP Angkasa, it can be seen that the progressive progress of the trainees towards the use of English for oral and written communication. The progress in communication is evidenced by the use of English when delivering material in class. Furthermore, the ability to listen to the simple spoken conversations of the trainees has also increased, which can be seen during the training. Teachers use full English as the language of instruction during training and trainees can carry out the instructions given at that time well. Finally, there is progress in the ability to read and write simple information from the trainees. This is evidenced by the teaching material prepared by the training participants which is compiled in English and then discussed with the students in their respective classes also in the language of instruction is English.
X-RAY FLUORESCENCE AND STABLE ISOTOPES ANALYSES OF IKPESHI MARBLE, SOUTH SOUTHERN NIGERIA

Integration of X-ray fluor escence and stable isotope spectrometric techniques for quality assessment and provenance study of exposed marble deposit at Fakunle Quarry, Ikpeshi, South Western Nigeria constitute the fundamental aims of this research. Fourteen fresh (14) marble samples obtained at different localities within the quarry were subjected to geochemical and isotopic analyses to ascertain the quantitative abundance of major oxides and stable isotopes using X-Ray Fluorescence and Thermo Fisher mass spectrometer respectively. The major oxides revealed by XRF analysis of the marble samples are CaO, MgO, SiO2, Al2O3, Fe2O3 and Na2O with percentage composition ranging between 11.66 – 13.25, 7.75 – 9.65, 41.36 – 47.55, 12.36 – 15.23, 7.79 – 10.55 and 1.44 – 1.75respectively. Na2O + K2O value ranges between 1.48 and 1.78.The classification of marble in relation to percentage of calcite-dolomite indicate a percentage range of -5 to 4% and 93-103% for Calcite and Dolomite respectively. Chemical Index of Alteration (CIA) ranges from 45.16 to 51.59 % and Chemical Index of Weathering (CIW) ranges from 46.19 to 52.30 %. Stable isotope ( ? –180) of marble ranges from -10.50 to -7.00 with a corresponding value from 25.50 to 55.33.Interpretation of the overall results indicates an impure quartz-rich dolomitic marble; metamorphosed from a low carbonate sedimentary/meta sedimentary protolith which shallowly precipitated within a passive marginal marine environment under humid condition. The high silica impurity can however be attributed to the inordinate influx of terrigenous sediments during the precipitation process. Weathering effect is minimal on the marble deposit. Conclusively, strong correlation is apparent between the obtained geochemical result and the basement geology of the study area.
A Biblio-Informatics of Risk Management in Aspect as a Subject for Twenty-Two Years

This study aims to observe the importance of risk management as a subject with an evaluation of research through publications, published in prestigious journals.Scopus-Elsevier database provides data on file format with commaseparated value (CSV) of twenty-two years from 2002-2019 as regularly and four articles randomly with a maximum 11years gap and minimum three years.Total of 137 documents written by 363 authors in collaboration with an average of 16.5 authors.Seventy-two articles, followed by 13; 9% conference papers, 02 books, 05 book chapters, and 02 letters, show the status of risk management as an issue.Prominent subjects areas like; business, management, and accounting with 56; 40.8% publications, followed by computer science, economics, finance, civil and other fields of engineering sciences.The United States stands on a top slot with 15; 11% manuscripts, United Kingdome 12; 8.7%, and Germany 11; 8% in sequence.This study reveals that the term risk management is still awaiting its real admiration because this subject is an essential part of the safety of human health and wealth.Risk managers have always been full of beans for safe and sound of the best water for society.
Prediksi Indeks Harga Saham Gabungan (IHSG) Menggunakan Algoritma Autoregressive Integrated Moving Average (ARIMA)

There are various types of investment in Indonesia, one of which is the Indeks Harga Saham Gabungan (IHSG) or in English it is called the Indonesia Composite Index, ICI, or IDX Composite. IHSG is an important parameter to consider when making an investment considering that IHSG is a joint stock. This study aims to predict the price of the IHSG with data mining techniques using an algorithm that can be used as a reference for investors when making an investment. ARIMA is a model for generating estimates from historical data. Data in this study were collected from the monthly IHSG from January 4, 2010 - November 26, 2019. Based on the correlation plot, two autocorrelations (lag 1, lag 32) were found to be significant. This model can predict with an average percentage error of 0.004 so that this prediction is considered good enough to predict the stock price of the IHSG.
GAME EDUKASI PUZZLE RUMAH ADAT TRADISIONAL INDONESIA BERBASIS ANDROID

Puzzle games are a way or style in the process of early childhood learning that is more suitable to increase children's learning interest so that the learning process feels more fun, the problem that arises is how to introduce and educate about traditional Indonesian traditional home culture so that the younger generation can get to know and preserve traditional Indonesian culture. To overcome this problem, a game is made that can introduce and educate about traditional Indonesian traditional house culture. While the programming language used in building games is constrcut2. The results of implementation and trials conducted by researchers, it can be concluded that traditional Indonesian traditional house puzzle education games can recognize and educate indonesia's most traditional culture, especially traditional house culture.
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift

Positive-unlabeled (PU) learning trains a binary classifier using only positive and unlabeled data. A common simplifying assumption is that the positive data is representative of the target positive class. This assumption rarely holds in practice due to temporal drift, domain shift, and/or adversarial manipulation. This paper shows that PU learning is possible even with arbitrarily non-representative positive data given unlabeled data from the source and target distributions. Our key insight is that only the negative class's distribution need be fixed. We integrate this into two statistically consistent methods to address arbitrary positive bias - one approach combines negative-unlabeled learning with unlabeled-unlabeled learning while the other uses a novel, recursive risk estimator. Experimental results demonstrate our methods' effectiveness across numerous real-world datasets and forms of positive bias, including disjoint positive class-conditional supports. Additionally, we propose a general, simplified approach to address PU risk estimation overfitting.
Functional Domains in the Encrypted Inverse Fine-Structure Constant

The inverse fine-structure constant 1/α = 137.035999… … is encrypted by a numerical 137 035 999 … … triplet code, and functional domains of this code are separated from each other by 999 triplets.
LAR: A User Behavior Prediction Model in Server Log Based on LSTM-Attention Network and RSC Algorithm

Using server log data to predict the URLs that a user is likely to visit is an important research area in user behavior prediction. In this paper, a predictive model (called LAR) based on the long short-term memory (LSTM) attention network and reciprocal-nearest-neighbors supported clustering algorithm (RSC) for predicting the URL is proposed. First, the LSTM-attention network is used to predict the URL categories a user might visit, and the RSC algorithm is then used to cluster users. Subsequently, the URLs belonging to the same category are determined from the user clusters to predict the URLs that the user might visit. The proposed LAR model considers the time sequence of the user access URL, and the relationship between a single user and group users, which effectively improves the prediction accuracy. The experimental results demonstrate that the LAR model is feasible and effective for user behavior prediction. The accuracy of the mean absolute error and root mean square error of the LAR model are better than those of the other models compared in this study.
An exchange could do you good: Hosting informal meetings to foster academic librarians’ work at nearby institutions

As academic librarians support students’ learning, they often neglect their own needs as learners due to time, cost, and resource constraints. However, the need to engage in learning opportunities, especially as instructional needs and technology options evolve, is critical to their success as professionals. Librarians may look for opportunities to learn by connecting with others at conferences, workshops, and webinars. While these formats provide meaningful opportunities for academic librarians to meet and learn from each other, they are often costly for both institutions and individuals, disconnected from work environments, and do not consider the contextual factors that influence librarians’ day-to-day jobs. Moreover, the COVID-19 pandemic has restricted both travel possibilities, and travel funding—in many cases, for the foreseeable future.
DEVELOPING WORD WALL AS MEDIA IN TEACHING WRITING SKILLS ON DESCRIPTIVE TEXT FOR THE SEVENTH GRADE STUDENTS AT SMP YPI AMIR HAMZAH MEDAN

The study was aimed to to develop learning media in Writing Descriptive Text for Grade VII of Junior High School Students. This study was conducted by using Research and Development (R&amp;D) design through six stages; gathering information and data, analyzing data, designing materials, validating by experts, revising, and final product. The subject of the study was Grade VII of SMP Ypi Amir Hamzah Medan. The instruments of data collection were gathered by administring interview and distributing questionnaire. The study conducted interview to the English teacher and distributing questionnaire to 25 respondents to get the students’ needs. The interview and questionnaire results proved that the students need English learning media which can motivate the students to understand about writing descriptive text. The product had been validated by the experts namely English lecturer and English teacher. The product result was Word Wall which is modifying House based on destination of North Sumatera. The result of experts’ validation showed that the media was an appropriate media to be used on writing descriptive text by getting the average percentage 92% categorized excellent.Keywords: Writing, Descriptive Text, Word Wall, Research and Development
UPAYA MENINGKATKAN KETERAMPILAN MENULIS HURUF JAWA MELALUI DISKUSI KELOMPOK BERBANTU KARTU HURUF PADA PESERTA DIDIK KELAS VI SD 1 PRAMBATAN KIDUL KUDUS

The study aims to improve the student skills in writing The Javanese Script and learning activities through group discussion assisted by letter cards in the 6th-grade students of SD 1 Prambatan Kidul Kudus Even Semester Academic Year 2018/2019. This study is a Classroom Action Research (CAR) conducted in two cycles using The Javanese Script cards as the learning media and group discussion as the learning method. Research data were collected using nontest techniques (classroom observation, unstructured interviews, and documentation collection) and test techniques (individual written tests). Quantitative data were the scores of The Javanese Script writing skill were analyzed descriptively and qualitative data were the result of learning activities observations that converted into scores and categorized classically. The Pre-cycle stage test score category consisted of poor (62.16%) and fair scores (37.84%), with students had reached learning mastery standard by 37.84%. The Cycle I stage test score category consisted of poor (27.03%), fair (56.76%), and good scores (16.22%), with students had reached learning mastery standard by 72.97%. The Cycle II stage test score category consisted of fair (48.65%), good (40.54%), and very good scores (10.81%), with students had reached learning mastery standard by 100%. The classical learning activities observations are classified as good, both in Cycle I and Cycle II were 70.27% and 71.89%, respectively. Thus, the method of group discussion assisted by letter cards is proven to improve the student skills in writing The Javanese Script and learning activities.
The MAGICAL Benchmark for Robust Imitation

Imitation Learning (IL) algorithms are typically evaluated in the same environment that was used to create demonstrations. This rewards precise reproduction of demonstrations in one particular environment, but provides little information about how robustly an algorithm can generalise the demonstrator's intent to substantially different deployment settings. This paper presents the MAGICAL benchmark suite, which permits systematic evaluation of generalisation by quantifying robustness to different kinds of distribution shift that an IL algorithm is likely to encounter in practice. Using the MAGICAL suite, we confirm that existing IL algorithms overfit significantly to the context in which demonstrations are provided. We also show that standard methods for reducing overfitting are effective at creating narrow perceptual invariances, but are not sufficient to enable transfer to contexts that require substantially different behaviour, which suggests that new approaches will be needed in order to robustly generalise demonstrator intent. Code and data for the MAGICAL suite is available at https://github.com/qxcv/magical/.
THE CONCEPT OF MULTIFACETED TEACHING AND LEARNING IN THE INCLUSIVE CLASSROOM

Thispaperexpoundsfurther multifacetedteachingandlearningin the contemporary classroom, by taking into account a selection of thematically relevant research papers on this new concept and inclusive education. The analytic-synthetic method and the comparative method are used to identify thematically appropriate postulates of present-day didactic paradigms (rationalist, constructivist and phenomenological) and modern didactic theories (critical-constructivist, critical-communicative, theory of teaching and learning, curriculum theory, theory of developmental instruction), which the concept of multifaceted teaching and learning in inclusive education can productively be grounded in. Also considered is the possibility of use of the concept of synchronised multifaceted teaching and learning with developmentally diverse students, who differ in terms of cognitive, affective and creative potential and need for knowledge and creativity, in combination with different models of inclusive instruction (interactive, individualised), and other models, systems and strategies of instruction. These insights allow for a more sound basis for educational innovation, as well as preparation and implementation of development and research projects and university faculty development programmes.
ANALISIS WACANA KRITIS BUDAYA LITERASI MELALUI APLIKASI WEBTOON BERBASIS MEDIA PEMBELAJARAN INTERAKTIF SEBAGAI UPAYA PENINGKATAN KARAKTER SISWA SEKOLAH MENENGAH

One of the successes in high school student learning lies in the use of learning method or model. The development of technology has given great influence on the world of today’s education. Learning media that are independent and technology-based become an attraction for students to improve learning motivation and to educate students to be able to learn independently. This study aims to develop the interactive learning media through webtoon applications as an effort to shape the character of high school students through literacy culture. This research also aims to foster high school students' interest in reading through smart phone technology. The subjects of this study were high school students. The research method used is the method of triangulation which includes data triangulation, triangulation between researchers and theory triangulation. Data collection techniques used in this studywere interviews, observation and documentation. The data obtained were then analyzed using descriptive qualitative analysis techniques. The results of this study are scientific publications and products in the form of interactive learning media in an effort to strengthen the character of high school students.&#x0D; &#x0D; Keywords: Webtoon, literacy culture, character education, interactive learning method&#x0D;
Design and Implementation The Learning of Classification Aromatherapy made from Indonesian Spices using K-Nearest Neighbor (KNN)

Indonesia is country that has various plants which have many benefits for human. There are more than 31 types of medicinal plants as one of material that needed by industry as traditional medicine and spices. Traditional spiceal medicine comes from spiceal plants that used from Indonesian spices. This spices can produce aromatherapy include essential oils. Aromatherapy can help in maintaning the healthy of human body. This is necessary that aromatherapy can be classsified using K-Nearest Neighbor to classify aromatherapy from Indonesian spices. The accuracy result which shown by K-Nearest Neighbor algorithm is 97.5 percent, the accuracy data testing using confusion matrix which will be followed by front end and back end testing that shown the valid result for application design and valid using weka application with an accuracy result of 97.5 percent. This research will produce product such as android application that can be accessed by android users.
LEVEL BERPIKIR METAKOGNISI MAHASISWA SELAMA PERKULIAHAN ONLINE DI MASA PANDEMI

The ability to reflect on yourself or think metacognition is very important for students. Because with this ability students can learn to analyze their mistakes or weaknesses to be corrected and developed in the future. During the pandemic, lectures were carried out online, this resulted in a tendency for students to not seriously attend lectures. The absence of direct supervision from lecturers is one of the reasons this can happen. Thus, researchers assume that the level of metacognition of students who carry out lectures online will also decrease. Therefore, the purpose of this study is to analyze the level of student metacognition during online lectures that have been implemented. Researchers used a qualitative descriptive research approach with a survey method. The research subjects were 120 students who had attended online courses at least 8 meetings or 2 months. The results showed that 83 students were at the lowest level of metacognition (Tacit Use). Meanwhile, students who are at the highest metacognition level are 2 students (Reflective Use). Thus, researchers can conclude that the level of student metacognition during online lectures is still very low.
Disease Detection in Birds and Animals Using Image Processing

In this research, a method is proposed and implemented for detecting and classifying the infected chicken. Dominant factors have been analyzed the health of the chicken and production of egg and many other conditions which will be beneficial in the living environment. For each processing stage, different algorithms have been implemented to estimate the infection produced in the chicken. The proposed algorithms are exploited to perform in a faster manner. The experimental results have been shown using MATLAB.
Transfer Learning in Attack Avoidance Games

Transfer knowledge is a human characteristic that has been replicated in machine learning algorithms to improve learning performance measures.However, little success has been accomplished in reinforcement learning tasks when a function approximation is needed to estimate the value functions.In this study, we present a new strategy to facilitate knowledge transfer when an agent is learning to solve a sequence of increasing difficulty tasks.We show that the tasks sequence is an effective scenario to segment the function approximation hypothesis space allowing a faster learning especially in the last task of the sequence.Moreover, the sequence allows the design of a similarity function that helps the agent to determine in which moment is more appropriated to use the transfer autonomously.We empirically show the importance of the presence of all the tasks in the established ordering to accomplish the best improvement in the learning time for the last task.