Reviewerly/exHarmony huggingface dataset:
efficient training strategy for classification using deep neural network with hybridization of quantum enthused artificial bee colony algorithm

Deep Neural Network (DNN) is commonly used in many applications of Artificial Intelligence (AI) like robotics, speech recognition and computer vision. DNN is mainly used as it produces higher classification accuracy and its cost of computational complexity is also less when compared with other classifiers. The DNN training (DNNT) is a process by which weight set has to be optimized in order to get higher classification accuracy. Normally this training is done using Back propagation algorithm (BP) which has several drawbacks like very slow in finding local minima and computational complexity. Hence to overcome these drawbacks an evolutionary algorithm like swarm intelligence has been modified and applied in this proposed method. Normal PSO, ABC algorithm has also many drawbacks which have to be rectified using some hybrid techniques. Hence a new hybrid technique of quantum enthused artificial bee colony (QEABC) has been proposed for training DNN. The parameter setting used for this algorithm has helped a lot to get higher performance. In our proposed hybrid technique the parameter setting is performed automatically to enhance results of classification accuracy and other metrics.
A COMPARATIVE STUDY OF STUDENTS’ READING COMPREHENSION IN NARRATIVE TEXT THROUGH MIND MAPPING AND DIRECTED READING THINKING ACTIVITY

This research was aimed at examining: (i) the significant difference on students’ reading comprehension after being taught through Mind Mapping technique and Directed Reading Thinking Activity (DRTA) technique in narrative text and (ii) the aspects of reading skills that the highest increase. The subjects of this research were VIII B and VIII E which consisted of 28 students of SMP Negeri 25 Bandar Lampung. The data were collected by using the objective reading test in the form of multiple choices and analysed by using Independent Sample T-Test in SPSS version 16.0. The result of this research showed that there was significant difference of students’ reading comprehension after being taught through Mind Mapping technique and Directed Reading Thinking Activity (DRTA) technique since the t-value greater than t-table (3.648 &gt; 1.674) at the significant level of 0.01. Then, main idea, vocabulary and reference were the aspects that improved better.
Systematic Analysis of Research in Educational Management from the Perspective of Bibliometrics and Scientometrics

To understand the development of the field of educational management research since the new century, we used VOSviewer and CiteSpace to conduct quantitative analysis and visualization of the relevant literature in the WoS (core collection) from 2000-2022 in the field of educational management research. Through the quantitative statistics of authors, journals and countries, we learned the core scholars, key journals and high productivity countries in the field of educational management. By drawing the co-occurrence mapping of high-frequency keywords, keyword timeline map and co-cited timezone map of authors, and combining with the core literature in the field, we introduced the evolution path, research hotspots and development trend of the field of educational management research in more than twenty years. Based on the clustering results, we summarized the research hotpots in the field of educational management. Overall, we captured the development of the field of educational management research and presented a comprehensive and clear research structure.
Picture Word Inductive Model (PWIM) on Students’ Vocabulary Achievement and Attitude

Picture Word Inductive Model (PWIM) is an inquiry-based vocabulary strategy which uses pictures to transmit information to the learners. This study investigated how PWIM affected the vocabulary achievement and attitude of the Grade 8 students. There were 50 participants of the study, 25 from the group exposed to PWIM and 25 from the group not exposed to PWIM. The vocabulary achievements of the students were identified using the 64-item teacher-made pre-test, posttest, and retention test. Students’ attitudes towards vocabulary learning were determined through a 20-item Likert-Scale Questionnaire on The Learners’ Attitude Towards Vocabulary Learning adapted from Gimolatan (2016). Results showed that the group exposed to PWIM strategy outperformed the unexposed group in vocabulary achievement in terms of posttest and retention test. Non-PWIM strategy was able to increase the students’ vocabulary achievement, but the increase was not as high as of the learners exposed to PWIM. Also, the students exposed to PWIM improved their attitude towards vocabulary learning from moderately positive to positive attitude while the group not exposed to PWIM remained to have a moderately positive attitude. Moreover, the vocabulary achievement of students exposed to PWIM was significantly higher than the students who were not exposed to PWIM. There was also a significant difference on the attitude of the students exposed and not exposed to PWIM towards vocabulary learning. Thus, PWIM was effective in improving the students’ vocabulary achievement as well as in enhancing their attitude towards vocabulary learning.
The Effects of Context on the Understanding of Twitch Emotes

Research on Twitch.tv and its livestreaming subculture is scarce. The studies that exist have become outdated due to the ever-changing nature of this internet subculture. For this study, examined how Twitch novices would rate the emotions displayed in Twitch chat emotes. To do this, we asked 63 undergraduate students naïve to Twitch’s livestreaming culture to view either the static image of three emotes or video clips of the emotes used within a livestream. Then, they rated each emote in terms of perceived emotion that they believed the emote was most similar. Differences were found between conditions for excitement (OMEGALUL and POGGIES) and happiness (POGGIES). Viewing a video clip of POGGIES increased excitement and happiness ratings, whereas excitement ratings were lower in the Twitch clip condition for OMEGALUL. This research has implications for understanding Twitch chat culture as well as adding new research into Twitch.tv as a whole.
Educational Freedom of Speech: From Principle to Practice

Freedom of speech (FS) is not new to the philosophy of education.From the time of Socrates' trial to the present day, it arises when teachers bring up political issues in class or administrators invite social organizations active in political disputes to come into their schools.Those teachers and school administrators often find themselves under attack, as it is claimed that politics should not enter into schools.On the other hand, those holding liberal views often answer by pointing to the right to freedom of speech.Intuitively, it seems that what is at stake is a political controversy regarding the limits of freedom of speech.However, this article claims that the controversy is futile since both parties judge this situation to be political while it is in fact educational.In his criticism of FS, Stanley Fish points out that FS cannot be a principle since it draws its meaning, justification, and form from the context in which it is used and performed. 1Thus, it is always conditioned and has political and epistemological limits.And in migrating to other social spaces, its meaning is shaped anew by absorbing other terms and practices that are already operating within that space.It is irrational to expect a specific sphere to import an external "principle" from another sphere without making any adjustments as this heavily disrupts the ongoing holistic operation and conception of that space. 2 According to this pragmatic way of thinking, theoretical terms are nothing but ex post facto generalizations and abstractions of existing practices within that space and do not represent any essence or objectivity.Actually, choosing the term "principle" is nothing more than a metaphorical choice that is meant to
Olvasóvá nevelés újszülött kortól kezdve

Even before the formal literacy education most of the children meet literacy in a spontaneous way. Emergent literacy is the term used to describe young children’s developing literacy skills before formal reading and writing instruction in school. Much research has demonstrated that the home environment serves as an important influence in the development of emergent literacy skills in young children. Family literacy refers to literacyrelated processes, for example when family members engage in shared story reading which positively influences young children’s motivations to read. Since babies and toddlers (children under three) are dependent on their parents and carers for access to books, developmentally appropriate reading materials (board and tactile books, picture books and storytelling books nursery rhymes), are recommended which are of high quality, age appropriate, challenging without frustrating, worthy of attention for parents and carers.
Developing Supplementary Sociolinguistic Material in Youtube Channel to Stimulate the Students’ Critical Thinking in Hybrid Class

The objective of this particular research and development is to produce the supplementary sociolinguistic materials to encourage the students’ critical thinking in hybrid class. Based on the preliminary study conducted by the researcher, it was discovered that most of the learner lacked motivation to understand the core book of sociolinguistic. Then, the lecturer should be creative in hybrid class. Because of this situation, the researcher design the hybrid learning process toward YouTube channel to solve the students’ problems. The researcher use Research and Development with some steps conducting need assessment, material development, validation product, implementation of product, and final product. The product designed with Productive Reading Technique which has the similarity activities with standard KKNI curriculum. The researchers are going to collect the relevant information with guided questionnaire for the students, the lecturer’ interviews, and the checklist form and the suggestion from the expert validations. The data result is described the strongest and the weakness of Sociolinguistic material development. The implication of this product was divided into three points namely, the students could achieve the reading skill with average 81%, the students’ motivation average 91% and around 83% of the student could give the responses base on the critical thinking.
About quantum computer software

Quantum computer is the key to controlling complex processes. If its hardware, in general is successfully created on the basis of the physical baggage of the 20th century, the mathematical software is fundamentally lagging behind. Feynman's user interface in the form of quantum gate arrays, cannot be used for the control because it gives the solution of Schrödinger equation with quadratic slowdown compared to the real process. The software must then imitate the real process using appropriate program primitives written as the programs for classical supercomputer. The decoherence will be reflected by some constant - the number of basic states that can fit into the limited of memory available to software. The real value of this constant can be found in the experimental realization of Grover search algorithm. Rough estimates of this constant are given based on the simplest processes of quantum electrodynamics and nuclear decay.
Bayesian Grammar Models

One of the most successful applications of the Bayesian approach to NLP is probabilistic models derived from grammar formalisms. These probabilistic grammars play an important role in the modeling toolkit of NLP researchers, with applications pervasive in all areas, most notably, the computational analysis of language at the morphosyntactic level.
Pengembangan Modul dan Trainer Pengemas Barang Untuk Pembelajaran FBD di Jurusan Teknik Elektro Universitas Negeri Malang

The objectives of this research are (1) to design development of instructional media in form of modules and product packaging trainers for Industrial Automation Workshop courses in Department of Electrical Engineering, Faculty of Engineering, State University of Malang, (2) developing product packaging trainers that have been made it can be used for a variety of systems (microcontrollers, smart relays, and PLCs), (3) developing product packaging trainer practicum module based on smart relay for learning FBD (Function Block Diagram) programming in Industrial Automation Workshop course in Department of Electrical Engineering, State University of Malang and, (4) testing feasibility of module and trainer of goods packaging that have been developed for learning courses in Industrial Automation Workshop in the Department of Electrical Engineering, Faculty of Engineering, State University of Malang. This study adopting a development tailored model to needs of module development but still refers to existing development models. Development model in this research uses development model from Sugiyono tailored to needs. Based on results of validation and feasibility testing of practicum modules by experts 1, experts 2, product trials and usage trials can be concluded that practicum modules and product packaging trainers are very suitable used in learning
Analysis of A* Algorithm Optimization and Breadth First Search in the Water Teapot Game

Artificial Intelligence (AI) is a branch of computer science that focuses on learning how computers can work or perform as well as humans or even better than humans. The development of artificial intelligence can be used as a benchmark for technological developments. Many problems can be solved using this artificial intelligence concept. One of them is a water jug ​​logic game. The water jugs problem is a game requiring converting a situation into another desired situation using a certain set of operations. The objective of this game is for players to develop their deductive reasoning skills by figuring out how to move x litters of water from one teapot to another. To accomplish this, they will refer to the beginning value that has to be filled in each teapot and the end value that needs to be filled in each teapot. Using the A* algorithm and the Breadth-First Search (BFS) algorithm, which both fall under the umbrella of artificial intelligence, it is possible to find a solution to this issue. The A* algorithm is a Best First Search algorithm that combines Uniform Cost Search and Greedy Best-First Search, while the Breadth-First Search algorithm is a graph search algorithm that performs a wide search at each level. This study analyzed the effectiveness of the A* and BFS algorithms in solving the water jug ​​logic problem, both from the number of steps and the time required for completion. The results of the tests were carried out, and it is known that the BFS algorithm is more effective than the A* algorithm because the BFS algorithm can provide a number of alternative solutions to the water jug ​​logic problem with various conditions.
Mapping COVID-19 in a Region Using IP Geolocation and Fuzzy Inference System

The spread of COVID-19, which is getting faster every day, has made people wary. If residents suffer from the symptoms and risks of COVID-19, they are afraid and ashamed because they feel ostracized by their neighbours, relatives, and families. It is a shame and fear of reporting that causes the transmission of COVID-19 to accelerate. Therefore, it is necessary to create a system that can answer the problem, namely a system that can detect first aid symptoms and risks of COVID-19 suffered by residents, so that residents know their health status without checking the health of the COVID-19 task force in each area. The system is made by reading the location of residents who report their health to know where they are and their health status. A method for reading the location of system users based on IP addresses is called IP Geolocation, which stands for Internet Protocol Geolocation. The determination of the health status of residents is in the category of Negative COVID-19, ODR, ODP, PDP, or Positive COVID-19 using the Fuzzy Inference System (FIS) method. The IP Geolocation and FIS results will be displayed on a map (google maps). Implementing this system will make it easier for the Government to monitor the spread of COVID-19 based on public reports and information. By testing using the black box method based on partition equivalence with seven facilities in the system, one mistake makes the facility a weakness of IP Geolocation.
Exploring the Affordances and Musico-Spatial Performance Opportunities of a Virtual Drumming Environment

The intersection of music and architecture (spatial design) has remained a fascination for practitioners and researchers for many years. This paper reports on the development of a Virtual Drumming Environment (VDE) that provides a research and cross-domain performance environment for musico-spatial design research explorations.The VDE is explored as a means of revealing affordances related to the complexities of polyrhythmic drumming through cross-domain representation of MIDI data as polyrhythmic event-time-dynamics molecules (PM) within virtual space. Further to this, we explore the VDE as a cross-domain performance environment where new modes of musico-spatial improvisation are revealed that extend drumming's 'known worlds' (Bruford, 2015).
Singing Cans - Prototyping an experimental wind instrument through parametric design integrated with field experiments

We present a study of how parametric design can be linked to field experiments where ready-made plug-ins are not available for performative modelling.The study centres on prototyping `Singing Cans' -an experimental wind instrument made with an assembly of drinking cans that can produce sounds in recognizable pitches by interacting with airflows.We describe how field experiments conducted in a fluid flow lab can generate performative resources linkable to parametric design modelling.In Singing Cans, we focus on how to get airflow through a hole made on drinking can to make sounds.The prototyping process involved a lab-based calibration process to establish the relationship between the air volume of a can, measured by water-filling, and the pitch produced, measured by the Tuner Lite by Piascore.The field experiments resulted in a dataset capturing a can's sound-making behaviour in terms of water volumes and pitches.A parametric model that can take in wind data generated by a CFD package and output a 3D frame for site-specific cans installation is presented.
The Roman Alphabet Within the Japanese Writing System: Patterns of Usages and Their Significance

The present study explores the usages of the Roman alphabet within the writing system of Japanese. Japanese is typically said to have three types of characters in its writing system: hiragana, katakana, and kanji. However, the Roman alphabet is also commonly used in Japanese for various purposes along with other types of characters in Japanese. The present study argues that with the recent surge in electronic communication, the writing practice of Japanese is transitioning from vertical writing to horizontal writing, and this transition allows more foreign words and expressions written in the Roman alphabet to be used within Japanese without being converted into katakana loanwords. The present study also discusses the influence of the ever-increasing international interaction to the usages of the Roman alphabet within Japanese.
AN ANALYSIS ON LEARNING STRATEGIES OF SUCCESSFUL ENGLISH LEARNERS

This research aimed to describe language learning strategies used by the science 4 students whose English scores of 80 and above. The subject of this study was the successful English learners from the Eleventh Grade of Science 4 Students in SMAN 05 Pontianak. They are 10 students from Science 4. The design of this research was a case study. The data were collected through a questionnaire to determine the students’ English learning strategies and interview guidelines to get detailed information on English learning strategies used by successful students. The result of the analysis showed, the strategy implemented by the students had improved their English skills. Each student had their distinctive ways and styles in English learning strategies. There were six types of learning strategies used by the students include direct study. The direct study covers memory, cognitive, compensation, and the indirect study covers metacognitive, affective, and social strategy. The findings show that the most dominant strategy used by the students was an indirect strategy rather than a direct strategy. The use of indirect strategies includes metacognitive, affective, and social strategy as shown by the questionnaire mean score at 4,25. Further, the use of direct strategies, including memory, cognitive, and compensation strategy as shown by the questionnaire mean score at 3,91.
IMPROVING STUDENTS’ NARRATIVE TEXT WRITING THROUGH STUDENT TEAM ACHIEVEMENT DIVISION (STAD) METHOD

The aim of this research is to find out how the use of Student Team Achievement Division (STAD) improves students’ narrative text writing. This research was Classroom Action Research (CAR) which was conducted in two cycles. The research subject was XI IAI students of MAN 1 Pontianak consists of 38 students. The researcher collected the data of students’ improvement in writing from students’ results of writing narrative text, observation checklist, and field notes. It was found that students’ narrative text writing improved from cycle 1 to cycle 2. The implementation of STAD improved students' skill to compose narrative text corresponding with the aspects of writing: content, organization, vocabulary, language use, and mechanics. Besides that, the students’ teamwork and the courage to answer questions also increased due to the rewards given by the researcher. Therefore, the researcher recommends using STAD as a technique to teach writing narrative text.
AN ANALYSIS ON THE CAUSE OF STUDENTS' SPEAKING ANXIETY IN EFL CLASSROOM

Speaking is one of four skills that are deemed to be important. In EFL Classroom, the students often suffer from English speaking anxiety. The purpose of this research was to discover the level of students’ speaking anxiety and the causes behind it. Descriptive qualitative was used to investigate this research. This research was conducted on the twelfth-grade students of XII-IIS 2 of MAS Ushuluddin Singkawang. To obtain the data, observation and two questionnaires were applied. The questionnaires being used were Foreign Language Classroom Anxiety Scale and the Factors Causing Students’ Speaking Anxiety Questionnaire. To analyze the obtained data, data condensation, data display, and drawing conclusions were applied. The result revealed that 97% of the students experienced high to moderate levels of speaking anxiety. The causes of students’ speaking anxiety were mainly the psychological factors such as; afraid of being laughed at; afraid of not having enough time to prepare; feeling inferior; nervous or shy; anxious when performing alone; afraid of the speaking test; terrified that other students will not understand; afraid of making mistakes; afraid of teacher’s immediate correction; students’ beliefs about speaking English; frightened of teacher’s and peer’s evaluation, and formal class situation. In conclusion, more than two-thirds of the students experienced high to moderate levels of speaking anxiety and 12 factors were found to be the causes behind the speaking anxiety in EFL classrooms.