Reviewerly/exHarmony huggingface dataset:
Eliminate Entanglement in Quantum Information Processing Utilizing Hybrid Quantum-Classical Neural Networks

A particle generated inside a group cannot be described independently of the other group particles during the interaction, sharing, or the development of a particle's group in close geographic in the quantum mechanics. Particles' arrangement represents their quantum states at zero temperature and highlights the particle's energy and symmetry gap during the Symmetry Protected Topology SPT as the “trivial” topological instructions' existence of these particles and provides a more consistent method for differentiating the quantum data source's features such as a quantum sensor or an intricate simulation of a device through quantum entanglement. In this research utilizing the TensorFlow framework with a cluster state as a data source which mayor may not excited, the researcher demonstrates and evaluates a quantum variant of the conventional classical neural network (CNN) called the hybrid quantum-classical convolutional neural network (HQCNN) which is trained on data containing a quantum mechanical state protected by the SPT topology. The accuracy was determined in purely model's results did not exceed 89.58% accuracy within ten epochs, whereas the hybrid model's results were accurate to 100% within three epochs with a single (Twist) filter and seven epochs with a multi-filter (multi-Twist) model with the goal of eliminating quantum entanglement.
Anomalous Object Detection with Deep Learning

Abstract: In many computers vision systems, object identification and monitoring are crucial characteristics. Object identification and monitoring is a difficult job in the fields of computer vision that attempts to identify, recognize and track things across a video series of pictures. It aids in the understanding and description of object behaviour rather than relying on human operators to monitor the computers. Its goal is to find moving things in a video clip or a security camera. On the other hand, rely heavily on computers, on the other hand many respect attributes approaches. The system collects a snapshot from the camera, process it as per the models requirements and the outputs the data to the tensorflow framework which provides a list of the frames discoveries and the objects dependability points and connections to their binding containers. Before exposing the object to the user, the software takes those connections and creates a rectangle adjacent to it. This research detects the presence of anomalous items in camera-captured sequences, with anomalies being things that correspond to categories that should not be present in a given scene.
Motivation for Learning English in Lower Secondary School Students.

In the current educational situation, the development of intercultural communicative competences in English language is of key importance. Motivation to master English is a condition for the successful development of young people at home and abroad. Students have difficulties in learning a foreign language, and they experience hesitant motivation and resistance in their learning efforts in English classes. This scholarly article aims to present a research, interactive methods and approaches that will serve to motivate students in junior high school.
PENERAPAN METODE SINGLE EXPONENTIAL SMOOTHING DALAM PENGEMBANGAN APLIKASI PREDIKSI JUMLAH SISWA BARU

The vocational Forecasting process is an important thing for the Forecasting process to determine new students to obtain data and information on the number of prospective new students who will register. Darussalam Islamic Vocational School does not yet have a Forecasting application so predicting the number of students is still conventional which causes school to be unable to plan for future needs. Therefore the Forecasting applications are needed. The purpose of this study is to produce an application to make it easier for schools to predict the number of new students in the future. This research method uses the Single Exponential Smoothing method, while the development method uses the Waterfall. method. In this study, Testing. will be carried out using a Black-Box involving users, namely the principal and of school study program. The test consists of 4 aspects of Testing, namely the login process, the import process, the process of adding data, the process of Forecasting the number of new students. With the Forecasting application. the number of new students that have been MAD can predict the number of students who will register in the following year based on previous data.&#x0D;
Named Entity Recognition for Sheko Language Using Bidirectional LSTM

Objectives: This study aims to advance Sheko language name entity Recognition first of its kind.Named Entity Recognition (NER) is one of the most important text processing in machine translation, text summarization, and information retrieval.Sheko language named entity recognition concerns in addressing the usage of the bidirectional Long Short-Term Memory (LSTM) model in recognizing tokens into predefined classes.Methods: A bidirectional long shortterm memory is used to model the NER for sheko language to identify words into seven predefined classes: Person, Organization, Geography, Natural Phenomenon, Geopolitical Entity, time, and other classes.As feature selection plays a vital role in long short-term memory framework, the experiment is conducted to discover the most suitable features for Sheko NER tagging task by using 63,813 words to train and test our model.Out of which is 70% for training and 30% for testing.Datasets were collected from Sheko Mizan Aman Radio Station (MARS), Sheko southern region mass media, Language, and Literature Department.Findings: Through several conducted experiments, Sheko NER has successfully achieved a performance of 97% test accuracy.From the experimental result, it is possible to determine that tag context is a significant feature in named entity recognition and classification for Sheko language.Finally, we have contributed a new architecture for Sheko NER which uses automatically features for Sheko named entity recognition which is not dependent on other NLP tasks, and added some preprocessing steps.We provide a comprehensive Comparison with other traditional NER algorithms.
In modernized educational conditions scientific-methodological basis of lesson process analysis and ways of their implementation

The article highlights the importance of monitoring and analyzing the teaching process by school leaders in the context of globalization and guidelines for achieving its goals. The scientific nature of the course, the correct choice of methods, issues of didactic support and adherence to general psychological principles are covered, suggestions and recommendations are given.
What do the Hospitality Student Find Important about Internship During the Covid 19?

The COVID-19 pandemic is currently sweeping the world and hitting all sectors of the economy. There are more than 3,900,000 positive cases of corona virus infection worldwide and more than 270,000 people have died. The impact of this pandemic is not only on the world of health, but also affects all aspects of people's lives. Currently, people are encouraged to do Social Distancing, where teaching and learning activities, work and worship are done at home. In addition, recommendations regarding Health protocols from WHO (World Health Organization) such as diligently washing hands, maintaining health and hygiene and always wearing masks when traveling out. This certainly has an impact on the general economic condition of the community, where many people are laid off because the company, they work for has stopped operating either temporarily or permanently. One of the sectors that has the most impact in this pandemic is the tourism sector, which includes tourist accommodation or hospitality. The hotel sector has been paralyzed in recent years. This can be seen from the decline in room occupancy rates in hotels. This study aims to see How Importance the Internship program for Podomoro University Students during the Covid 19 Pandemic. This research uses descriptive qualitative. Primary data was obtained through interviews and surveys, while secondary data was obtained from related journals, public information and previous research.
Language attitude of Singkil students in the context of bilingualism: a study of sociolinguistics

This paper attempts to look at Singkil students’ attitudes towards their language (Singkil language) and their attitudes towards Bahasa Indonesia as the national language of the Indonesian country. Singkil language is an Austronesian language spoken by aboriginal speakers living dominantly in five districts, namely Kuta Baharu, Simpang Kanan, Suro, Gunung Meriah, and Singkil that are administratively under the Singkil regency of Aceh province, Indonesia. According to Ethnologue, Singkil is a dialect of Batak Alas-Kluet (btz). The method used in this research is descriptive. Data were obtained through a quantitatively analyzed questionnaire for each characteristic feature calculated the average number of values (mean) language attitudes, using a Likert technique. The language attitude of respondents here towards Singkil language is very positive. It can be seen from the 12 questions given are mostly in positive attitude from 2,7 – 4,8. Otherwise, question 8 and 9 are negative from 2 – 2, 5. Therefore, the Singkil students have a positive attitude toward the use of their language. On the other hand, the language attitude of Singkil students towards bahasa Indonesia from 12 questions given are mostly in positive attitude from 2,8 – 4,6. Otherwise, question 5, 12, and 12 are negative from 2 – 2, 3. Therefore, the Singkil students have a positive attitude toward the use of bahasa Indonesia. Thus this study hopefully may reveal how the people of Singkil in several areas extensively use bahasa Indonesia in their daily communication, and the government of Aceh Province should maintain the sustainability of language in Aceh Province especially Singkil language by showing the uniqueness and richness of linguistics diversity in the region.
LITERASI DIGITAL MAHASISWA VOKASI DI ERA PANDEMI COVID-19

Digital technology is developing very rapidly and touching all sectors of life, including the world of education. Efforts to improve the digital skills of the community, especially the younger generation, have begun to minimize negative content that has flooded the digital space. The Covid-19 pandemic The COVID-19 pandemic has accelerated digital transformation in Indonesia. This study aims to describe and measure the level of digital literacy among vocational students in the pandemic era. The research method used is descriptive quantitative. The object that became the research target were all active students of the Vocational Faculty, Airlangga University. The sampling method in this study used purposive random sampling. Data collection in this study used a survey method through the distribution of questionnaires. The data extracted to determine the level of digital literacy of students includes technology, ethics and cognitive. The data obtained were then analyzed using SPSS version 25. The results showed that students' digital literacy skills were in the high category. Regarding the online learning format for vocational education, research findings mention the need for digital literacy education for students. The results of the research can be used as recommendations to improve the quality of vocational education with online/online formats and materials for making digital literacy education modules for students.
USING SIGIL TO MAKE AN ELECTRONIC MODULE AND ITS PRACTICAL VALUE

Electronic modules are teaching materials, that arranged systematically, covering competencies that will be mastered by students and equipped with an attractive appearance. Sigil is an e-book maker with an epub output format. This study aims to describe practicality of the electronic module using Sigil application oriented the scientific approach to environmental change materials for high school level. This type of research is Research and Development (R&amp;D) which refers to the 4-D model. 4-D model consist 4 main stages; define, design, develop and disseminate. The subjects in this study were 9 students of SMAN 7 Banjarmasin. The instrument was a questionnaire. The results of practicality test obtained an average percentage of 88.54% (very practical), 88.00% in the display aspect (very good), 92.44% in the material presentation aspect (very good), and 85.18% in the benefits aspect (very good). Overall, it is very practical and can be used by students.
STUDENT RESPONSES TOWARD COMIC AS AN INSTRUCTIONAL MEDIA

Learning that does not involve students actively causes a lack of balance in students' cognitive, affective and psychomotor abilities, so to solve these learning problems, it is necessary to improve learning media to make it easier for students to remember and analyze a lesson, one of them with e-comic media. This study aims to determine student responses to e-comic on the excretory system material based on cognition, affection, and conation aspects. The research method used is descriptive with a survey approach. The sample in this study was students of class XI IPA SMA, which consisted of 4 classes with 100 students. Data collection techniques in this study using a questionnaire. Data analysis uses questionnaire validation and calculates the percentage of total responses. The results showed that the average percentage of student responses to e-comic learning media in the cognitive aspect was 91%; the affective aspect was 89%; and in the conation aspect was 87.1%; each of the three aspects is categorized as very positif.
Freshman EFL Learners’ Use of Attitude Verbs and Considerations in Their Propositional Attitude Expressions

This study is intended to describe the underlying consideration of the Indonesian EFL learners in choosing attitude verbs to express their propositional attitude towards an object. The data of this study were elicited by asking the students to write their propositional attitudes towards familiar and unfamiliar pictures of objects. The familiarity of an object to the students were suspected to be one of the students’ considerations. The elicited written expressions were identified, classified and compared by using the concept of attitude verbs as the temporary predetermined perspective. The results of the identification and classification analysis show that propositional attitude was expressed in three ways: by using verbs of attitude of look, think and hidden verb attitude. The use of look (85%) dominates the other two verbs. The use of hidden verbs attitude occurs 12%, and the verb think is the least occurrence (3%). While the results of the comparison analysis show that familiarity of an object is not the only factor that the students consider in using attitude verbs. Their ability to think of what they see, that is labelled as psychological factor, and their sensitivity to the social effect of their propositional attitude, that is called as social factor, also influence their consideration in using the attitude verbs. Based on these results, it is concluded that the use of attitude words among the EFL learners is not only a reflection of their linguistic ability but also a reflection of their social sensitivity. Keywords: Attitude verbs, Consideration, EFL learners, Propositional attitude
Applying Participatory Design Mixed-Methods Approaches to Refine Twitter-Based Social Support Interventions for African Americans and Hispanic Family Caregivers of Persons with Dementia

We applied mixed-methods to refine our first version of the Twitter message library (English 400, translated into Spanish 400) for African Americans and Hispanic family caregivers for a person with dementia. We conducted a series of expert panels to collect quantitative and qualitative data using surveys and in-depth interviews. Using mixed methods to ensure unbiased results, the panelists first independently scored them (1 message/5 panelist) on a scale of 1 to 4 (1: lowest, 4: highest), followed by in-depth interviews and group discussions. Survey results showed that the average score was 3.47, indicating good to excellent (SD 0.35, ranges from 1.8 to 4). Quantitative surveys and qualitative interviews showed different results in emotional support messages.
Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis

We developed a neural network architecture to evaluate the patient’s state using temporal data, patient’s demographics and comorbidities. We examined the model’s ability to predict both a binary medication-treatment decision and its specific dose in three common scenarios: hypokalemia, hypoglycemia and hypotension. We partition the common 12-hours horizon window into three sub-windows, examining how patterns of treatment evolve following a key clinical event or state. This partitioned analysis also helps in alleviating the problem of small data sets, by utilizing previous sub-windows’ data as additional training data. We also propose a solution to the problem of the relative inability of dose-prediction models to output a “no treatment” classification, through the use of sequential prediction.
ENGLISH TEACHERS’ PERCEPTION ON TEACHER PROFESSIONALISM

This paper aims to investigate English teachers’ perceptions of teacher professionalism. A qualitative method with a descriptive design was employed in the present stud. The researchers employed a set of adapted questionnaires on teacher professionalism (Tichenor &amp; Tichenor 2009), consisting of five critical typologies of teacher professionalism. The questionnaire was distributed to 14 English teachers of senior high schools in Pangkal Pinang and the Blangkejeren district. They were chosen as the sample through the purposive sampling technique. Furthermore, a semi-structured interview also has been completed to support the data. The findings of this study indicated that most of the teachers agree with the characteristic of a professional teacher proposed by Sockett (1993). The study also revealed that professionalism is one of the critical aspects that teachers should possess.
DEVIANT BEHAVIORSIN HIGHER EDUCATION AND PREVENTION AND INTERVENTION MODELS

A large percentage of college students with deviant behaviors, especially concerning learning and social relationshas been reported by many studies. This article reviewed the current situation of deviant behaviors among college students through studies conducted in Vietnam and the world, including common behavioral patterns and their prevalence. In addition, the article pointed out certain factors affecting students deviant behaviors, including the motivating factors as well as the inhibiting factors through the reward and cost mechanism, the learning mechanism, and learning engagement. Amid such situation, the article also introduced some direct and indirect prevention and intervention models for students deviant behaviors through learning from the experience of universities around the world, selecting those feasible and highly applicable to the Vietnamese environment.
MUSEUM DAN PERPUSTAKAAN

Responding to the times and technology, there are more opportunities to develop services from informationinstitutions. Not spared from it are museums and libraries. Therefore, it is considered important formuseums and libraries to always be connected and take collaborative action. The concept of collaborationis often carried with various terms such as GLAM which stands for gallery, library, archive, and museum or LAM or library, archive, and museum. To finalize the concept of cooperation and collaboration betweenmemory institutions or information institutions, further research is needed from academics who specifically examine the relationship between museums and libraries. How they collaborate and what makes the benefits can be felt by both parties. The research carried out can take advantage of current technology that can be accessed for free and easily, namely Google Scholar. This research will continue several other studies regarding thematic analysis of articles contained in Google Scholar. The applications used are Publish or Perish and VOSviewer which will be used as a means of visualizing data and analyzing themes. The research method used is qualitative with a thematic analysis approach. The results obtained, articles about museums and libraries on Google Scholar have related terms, such as “library”, “museum”, “manuscript”, “archive”, “manuscript”, and “collection”. There are 53 authors that appear in VOSviewer, and after manually searching and retrieving the top three articles, these names appear in the visualization.
Security in the use of instant messaging applications for internal communication

The objective of the research was to present some security considerations for the use of instant messaging applications for internal communication, collecting information from the last ten years. The research design was non-experimental and with a descriptive approach. A systematic review of various national and international publications obtained from reliable databases such as Scielo, Google Scholar, PubMed, IEEE Xplore and ScienceDirect was carried out. The documents were included according to the publication period and relationship with the subject under study, those repeated and incomplete publications were excluded. Of the 60 publications collected in the first instance, only 24 were selected; finding a total of 23 general security considerations that,subjected to an analysis, allowed to highlight 5: training of personnel in computer and information security issues, and promotion of good practices; compliance with good practices; use of applications with data encryption; and establishment of cybersecurity policies. Finally, it was concluded that the security considerations in instant messaging applications for internal communication include security techniques, individual personnel practices and measures adopted by the company, all together,for better security management.
Presupposition And Entailment In "The Family Nightmare" Short Story

The focus of this research is presupposition and entailment in The Familiy Nightmare short story. This research aimed to reveal how presupposition and entailment were used in the short story. This research used the qualitative method for analyzing the story which involved the document and material analysis to collecting the data. The result showed this research found 6 types of presuppositions and 2 types of entailments. Presupposition and entailment are to emphasize, draw attention, sympathy toward the readers, and become a strategy to make the readers more focused in the story.
Prediksi Kualitas Laporan Keuangan Kementerian Negara/Lembaga Menggunakan Machine Learning

Quality financial reports are one of the tools in realizing government accountability. However, not all State Ministries/Agencies yet have received the best opinion. Based on previous research, several factors have a significant influence on the quality of financial reports. Therefore, this study aims to analyze the influencing factors and also make predictions and classification of quality of state ministries/agencies of financial reports using machine learning techniques. The sample used in this study was 256 state ministries/agencies from 2018-2020. The results show that cash fraud, findings, follow-up to BPK's recommendations, the money supply/additional money supply, and realization have a strong influence in determining quality of financial reports. In addition, with the Support Vector Machine model, better classification predictions are obtained for quality of state ministries/agencies of financial reports.