Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF THE INFORMATION SYSTEM FOR THE DATA COLLECTION OF RESIDENTS TOWNSMAN ASSOCIATION LEVEL

It starts with the development of technology over time. The population continues to increase in each area, encouraging urban villages and community organizations to continue to innovate to reach convenience and use existing technology. Technologies that can comprehensively collect data and reach every citizen will resolve changes in data over time. The survey that the author conducted was in the village of Cimone Jaya. The survey found that the work on the Family Card was done manually, in which the role of urban civic associations is very vital. Old / new residents who will report must obtain approval from the local city to apply for a family card by submitting the required documents; then, it will be processed to the district stage. the district will print the family card. Through the proposed program, each head of household can register his family card online. Of course, residents can update the data, and the updated data will be approved by the local city association if the data entered is valid. This program is also able to provide invitations to every citizen and news related to the local area. This program may still have many shortcomings and still needs a lot of improvement, but this will make it easier for residents and municipal community associations to go to the sub-district
DECISION SUPPORT SYSTEM SELECTION USED CAR USING THE FUZZY LOGIC METHOD OF TAHANI MODEL

Yus Motor showroom does not provide a system to accommodate used car specification data based on consumer desires. The owner or sales only explains these specifications by showing used car data on a sheet of paper. One in choosing a used car will certainly result in disappointment for consumers. Therefore, we need a method capable of analyzing used car specification data based on consumer desires. One such method is the Resistant Fuzzy Model Database. This method was chosen because it has the ability to provide firmness (crisp) on faint (gray) data, namely 1-0 (fuzzy logic). That is, 1 is a true value and can be used as a basis for consideration in making decisions, while 0 is not true and absolutely not worthy of consideration in making decisions. Furthermore, the end of the process of this method is a ranking (fire strength) which shows that the highest value is the most recommended product. This study aims to help the showroom owner Yus Motor and sales decide the choice of used cars quickly and precisely based on consumer desires using the fuzzy database method Tahani model.
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2020)

The complexity of computer systems, networks and applications, as well as the advancements in computer technology, continue to grow at a rapid pace. Mathematical analysis, modeling and optimization have been playing, and continue to play, an important role in research studies to investigate fundamental issues and tradeoffs at the core of performance problems in the design and implementation of complex computer systems, networks and applications.
On the Application of Chart Teaching in Junior High School Chemistry Teaching

&lt;p&gt;Graph is not only the teaching content, vivid, informative and highly relevant knowledge, but also a teaching method in junior high school chemistry teaching. It can show concepts and changes in multiple dimensions, help students overcome learning obstacles and make their thinking explicit.&lt;/p&gt;
PENERAPAN METODE TALKING STICK YANG DILENGKAPI DENGAN REINFORCEMENT UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR ILMU PENDIDIKAN SOSIAL SISWA

This research was conducted at Seririt State Vocational School 1 in Class XII 4 Hospitality Accommodation where the students' ability to study social studies was quite low. The purpose of writing this class action research is to find out whether the talking stick method which is equipped with reinforcement can improve student learning achievement. The data collection method is a learning achievement test. The data analysis method is descriptive. The results obtained from this study are the talking stick method that is equipped with reinforcement can improve student motivation and learning outcomes. This is evident from the average results obtained initially 71.44 in the first cycle to 77.66 and in the second cycle to 85.17. The conclusion obtained from this study is the talking stick method that is equipped with reinforcement can improve the learning achievement of social studies class XII Hospitality Accommodation 4 Vocational High School 1 Seririt.
LibGuides: Online Learning: Library Services & Sources: Blackboard Assistance

Library Services and Sources for Online Classes Information about getting help with Blackboard
Anomaly Detection in Time Series Data using Unsupervised Machine Learning Methods: A Clustering-Based Approach

For many companies in the manufacturing industry, attempts to find damages in their products is a vital process, especially during the production phase. Since applying different machine learning te ...
Unlocking the Archives. A pipeline for scanning, transcribing and modelling entities of archival documents into Linked Open data.(short paper)

In the project Golden Agents: Creative Industries and the Making of the Dutch Golden Age, heterogeneous resources on the production of the creative industries in the Dutch Golden Age from heritage institutions (e.g. Rijksmuseum, KB, RKD) are brought together as linked data. In this project, the collection of the notarial deeds in the Amsterdam City Archives will provide data on the consumption of cultural goods by the inhabitants of all layers of society in Amsterdam during the Dutch Golden Age. In the project Alle Amsterdams Akten [All Amsterdam Deeds] handwritten notarial deeds are indexed on the level of inventories, documents, person names, and geolocations outside Amsterdam. At the same time, the full text of these documents is being made searchable by using the advanced HTR in the project Crowd Leert Computer Lezen [Crowd Teaches the Computer how to Read]. This data is brought together and analyzed for the occurence of goods in probate and estate inventories. Once extracted and identified, almost all types of these goods can be linked to thesauri such as the Getty’s AAT and reconciled with textual/linguistic references to an item in an external (authored) dataset, such as the STCN, ICONCLASS, and those of the RKD. The model that is used to express this is under development and will be compliant with major and widely used data models in the Galleries, Libraries, Archives, and Museums (GLAM) world, such as the CIDOC-CRM. In this paper, the full pipeline from archives to annotations is represented that comprehends the successive stages of scanning, indexing, transcribing, correcting, aggregating, and modelling the entities of archival documents into RDF as Linked Open Data. It provides the creation of transparent datasets that can be replicated, evaluated and used for quantitative analyses in digital humanities research.
THE EFFECTIVENESS OF FARMER CAPING LEARNING MEDIA ON JUNIOR HIGH SCHOOL STUDENT LEARNING OUTCAMES

Abstract Learning material about facts and opinions is still difficult for grade VIII students because there is no media that supports interesting learning activities. For this reason, farmer caping media were chosen in learning facts and opinion sentences for supporting sociological and geographical reasons. said the farmer in this study is the acronym for the sentence game fakTA and opiNI (Farmers). The type of research that will be used in this research is experimental research with the method of developing the RD (2) Design; (3) Develop ; and (4) Disseminate. The sample in this research is 48 student of class VIII  SMP Negeri 3 Gondang in Mojokerto-Jawa Timur. The instruments used in this study were student response questionnaire sheets, teacher and student activity observation sheets, and learning outcomes tests. Student learning outcomes in the form of test scores were analyzed with the help of commercial software to determine the effectiveness of the class that applied the learning media used during the teaching and learning process. The results show that the use of learning media in the form of farmer hat is very effective (applied to the experimental class) compared to conventional learning (in the control class). The pre-test and post-test mean scores in the experimental class were 49.17 and 85.83, respectively, while those in the control class were 64.58 and 79.17. The difference between the mean pre-test and post-test scores between the experimental class and the control class was 36.66 and 14.59, respectively. Meanwhile, the significance value of the two classes is 0.000 (sig.2-tailed) less than 0.05
Spiritual Culture Formation of Young Teachers in the System of Higher Education: The Way for Social Maturity Development

The formation of spiritual culture should be based on the principles that guide every teacher in the implementation of their pedagogical skills in direct learning. The purpose of our study is to substantiate that young teachers' social maturity is characterized not only by the level of knowledge, development of their orientations but also by the degree of personal spiritual culture. We have applied the method of diagnosing a level of young teacher's social maturity development as a moderator in the search for spiritual values, but also a participant in the formation of personal spiritual culture directly at the student himself. Diagnostic sections have shown that the index of general social maturity of young teachers who shape the spiritual culture of students, is growing much faster compared to the young teachers who didn't show the activity of this kind. From the experimental data, it follows that young teachers' activity in creating a pedagogical environment of their school is an effective factor in the intensification of their social maturity formation. Investigating the problem of the formation of social maturity of the individual, a certain system of personal orientations develops, which serves as the basis of spiritual culture, which the student can choose. The authors show that such an opportunity can only be implemented with the teacher's integrated participation as a carrier of moral values. The study's novelty is determined by the fact that each of the participants in the educational process seeks to realize the share and type of moral views for the fulfillment of their personal interests. The study's practical significance is determined by the fact that spiritual culture can be based not only on its private but also on its public perception.
What did Colonel Fabyan's acoustic anti-gravity device sound like?

Somewhere within the Geneva (Illinois) Museum of History, next to an old movie theater popcorn machine and closed up behind a false wall, is hidden one of the last surviving components of Colonel Fabyan's acoustic anti-gravity device. Originally built by textile magnate, George Fabyan under the guidance of pseudo-science practitioners, it is Professor Wallace Sabine's examination and quick debunking of the device's anti-gravity powers that is credited with the redirection of Colonel Fabyan's fortune to the creation of Riverbank Acoustical Laboratories and the legitimate scientific study of acoustics. Although the levitation device is not currently on display, the museum's Curator of Collections &amp; Exhibitions gave a small group of acousticians the unique opportunity in 2019 to examine the device's existing components and supporting archival files. Although no one in the group was interested in the device's flying capabilities, everyone was curious what the device must have sounded like during Sabine's testing. Reviewing newspaper accounts of the period, taking photographic measurements of the existing components, using physical and computer modeling, acoustic testing and simulation; we present animation and auralization of Colonel Fabyan's acoustic anti-gravity device in the lab and in-flight.
MOTIVATING THE EMPLOYEES DURING CRISIS

Motivating employees is essential for the organizational sustainability and success, because it creates and maintains an interest among the employees to fulfill organizational goals. It is crucial in the bussiness world, due to the benefits that it brings to the company: improved employees' satisfaction, continuous employees' development and increased productivity. Motivated employees have high levels of loyalty and commitment towards the organization, which significantly reduces the staff turnover and the need for constant hiring of new employees. Business leaders must engage the employees to communicate and collaborate in order to fulfill the organizational mission and vision. In the process of creating motivational tools, the leaders must always take into consideration that individuals decided to join the company because they felt that their personal goals would be satisfied within that organization. Inspiring other people is not an easy task in normal times, and during complex times, when businesses are literally struggling to survive, motivation is even more difficult. When business results are less than promising, the employees develop negative emotions, such as uncertainty and fear, that have serious negative impact on teams' performance. On the other hand, during difficult times, the managers are constantly under great pressure, due to all the urgent matters that are weighing in from every side - securing finance, balancing between the expectation of the stakeholders and impact of crisis on business results, maybe even not being sure if the business will have a team to motivate in the near future. However, in times of crisis, team motivation needs to be the top priority of every leader. It is common knowledge in the business world that crisis can make or break a team. When everything seems to be going wrong, the employees need a support from their manager more than ever. When a manager helps employees transition during difficult times, the employees will remember him or her as a leader who was supportive, which leads to their increased engagement and motivation. With a growth-oriented mindset, the right strategies, and the right words and attitude, the leader will be able to keep the team from falling apart and will be able to guide, encourage, and reassure the team to deliver excellent business results. It is essential to build relationships and connect team members. Knowing how to motivate the workforce, will help ensure they are enthusiastically bringing their best efforts each day and helping the company fulfill its goals. Teams that succeed to overcome times of crisis, will become stronger than ever.
Phenomenology of Models with New Scalar Particles

The discovery of a 125 GeV Higgs boson is one of the greatest successes of the Standard Model of particle physics, but it is also one of the paths to finding its failings. The scalar sector of the Standard Model is only a minimal implementation of electroweak symmetry breaking. In spite of a rich sector of fermions and gauge bosons, the Standard Model predicts the existence of only one scalar particle, and the properties of this scalar particle are fully determined. Precisely measuring the properties of this Higgs boson is thus one of the main paths avenues to looking for new physics. A detailed analysis of the Higgs boson inevitably leads to studying the phenomenology of extended scalar sectors. The vast landscape of models with extended scalar sectors is also relevent many of the unanswered questions in particle physics. This dissertation aims to demonstrate the many possible phenomenological consequences of new scalars. We will explore some scalar models with important phenomenological consequences relevant to the frontiers of fundamental physics. We first cover benchmarks of the simplest scalar extensions. These extensions can greatly change the picture of electroweak symmetry breaking. Such models also can lead to large cross sections for the production of pairs of scalars, an important signal to search for at colliders. Then we move on to a more complicated scalar sector with three Higgs doublets. This extension can accomodate a mechanism that explains the asymmetry between matter and anti-matter in the universe while also predicting observable consequences for Higgs boson properties and production of new scalars. We then move on to dark sectors that connect the Standard Model to dark matter. The properties of dark matter are largely unknown, but scalar portals are one potential avenue of study. In one model, we examine the possibility of connecting dark matter and neutrino masses with a scalar portal. This provides a novel explanation of neutrino masses with potentially observable consequences for cosmic neutrino detection. In the final model, we discuss the combination of a dark sector, with a dark force and dark Higgs mechanism, and a popular vector like quark model. The inclusion of dark sector particles turns out to vastly change the phenomenology of this popular model, with entirely different decay patterns for the vector like quark. We conclude that Standard Model extensions containing new scalars have immense potential for new physics and answers to open questions in the field.
Analisis Penerapan Fuzzy Inference System (FIS) Dengan Metode Mamdani Pada Sistem Prediksi Mahasiswa Non-Aktif (Studi Kasus: STMIK Budi Darma)

STMIK BUDI DARMA is a college in the developing city. The number of college students makes it difficult to handle student activity data processing. The emergence of problems - often implementation problems arise, one of which is the number of non-active students. The high level of success of students and the low level of failure can reflect the quality of higher education. Research has been done statistically for this. At the writing of this thesis a system was developed that would predict non-active students using Object Oriented analysis systems and Fuzzy Inference Systems (Fis) using input variables. Prediction is done by entering parameters so that conclusions can be drawn on how much the level of non-active students is
Penerapan Algoritma Kriptografi Word Auto Key Encryption Dalam Untuk Pengamanan Soal Ujian Berbasis Komputer

The computer-based Final Semester Examination (UAS) held at the Dwiwarna Private Vocational School in Medan was carried out with the help of a web-based application. The application display is divided into two parts, namely the web client accessed by students and the web admin accessed by administrators who have authority. Exam questions are an important aspect of assessing student ability. The problem that occurs is that the record of exam questions stored in the exam database by the admin is very vulnerable to access and can be read by students in the admin menu when inputting questions. This happens because there is no safety record database of questions in the exam web application. Therefore we need a cryptographic security technique. Cryptographic techniques can secure the record of questions by randomizing the value of the incoming question character into a value that is not understood. This research will encrypt the computerized exam database question records with the Word Auto Key Encryption (WAKE) algorithm when the admin enters the questions in the admin web. While the decryption process using the WAKE algorithm is carried out by the application system when the web client is accessed by students by logging in and pressing the start test button
Exploration of Bayesian Statistic Model for Nurse Call Change after Surgery among Adjustment Methods

Analysis of nurse call is important to evaluate nursing management. However, the nurse call data include wide variabilities of individual patients, which sometime blind true differences between two groups, and massive zero calls, which distort true distribution of nurse calls. These problems may decrease analysis performance. Moreover, in medical statistics, to detect true difference related to interventions, the outcome values are often adjusted by fundamental parameters of the body characteristics such as age, sex and body weight. Thus, the adjustment mechanism is also important for nurse call analysis. We proposed a new statistic model to analyze nurse call data based on Bayesian statistics. The model includes hierarchical Bayes model, zero inflated Poisson (ZIP) distribution and linear combination of adjustment parameters. The nurse call dataset in an orthopedics ward was prepared, and the nurse calls of the patient who had undergone orthopedics surgery and the other surgery were compared. Introduction of hierarchical Bayes and ZIP improved fitness of the model to the dataset. However, the adjustment with age and sex was not so effective for model improvement. Therefore, our model including hierarchical Bayes and ZIP may be effective for nurse call analysis.
Speaking Skills: What Arabic Language Students Do in Simulation Activity?

Language skills, especially speaking skills, are necessary for mastering of a foreign language.Many strategies were applied in class setting to achieve the skills with several activities.Many researchers have suggested various activities to develop speaking skills for Arabic language.Among these activities are drama, role play, simulation etc.Each activity has different execution to meet the objective of language learning.This study aims to explore the strategies of Arabic language speaking skills among students through paired simulation activities.The qualitative approach is fully utilized through journal notes and observation check list.Four Arabic lecturers were involved in journal notes relating to their observations of strategies used by students in general.Meanwhile, a total of 12 respondents were selected by observing their simulation performances, especially in terms of language items.Then descriptive analysis was carried out to stipulate the data with the concentration on learning strategies for speaking skills of the students and language performance regarding the use of speaking Arabic during simulation activity.This study generally found that Arabic language learners practice speaking skills with the support of other strategies such as memory, writing and reading strategies.Meanwhile linguistics items produced by respondents in the activity have common errors including lexical choice, grammatical structure and morphological aspect.In the nutshell, simulation activity has significantly affected on students learning strategy and provides essential information for Arabic language lecturers to assist their students in improving their language performance especially speaking skills.
Predicting the Appropriate Category of Bangla and English Books for Online Book Store Using Deep Learning

At the era of this technology, we are seeking every stuff online first. Book was the best friend to us, still, it is. But this changed the way and medium by which we are being engaged with the book. Nowadays bookselling is more popular online than physically from the store. So books categorizing correctly is a very important problem. But there are many category books available like—Novel, Fiction, non-Fiction, etc. So manually categorizing books was a big deal for everyone. For that having an automatic book category system that uses a book title to categorizing books will help many people. Here, a method is proposed where Long short-term memory (LSTM) technique is used for categorizing books using books title. This model was trained on 1500 English and Bangla books title of four categories. The model reported promising results with training accuracy was 95.08% for English and 83.81% for Bangla. Different preprocessing techniques such as removing numeric data, null value removal, repeat data remove are used. In the Long short-term memory (LSTM) networks activation function ReLU is used in the hidden layer and softmax for the output layer.