Reviewerly/exHarmony huggingface dataset:
Тracking Students’ Learning Progress on Troubleshooting Logical Circuits Using Web Application

This paper presents the development and usage of a web application for troubleshooting logical circuits. The application is designed to support the teaching and learning of troubleshooting logical circuits by providing students with a platform to practice troubleshooting and allowing teachers to monitor students' progress. The web application features an interactive interface that allows students to simulate and troubleshoot logical circuits using the method of truth table. The application also provides students with immediate feedback on their troubleshooting attempts and highlights areas that need improvement. Furthermore, the application has a tracking system that allows instructors to monitor students' progress and identify areas where students may need additional support. Growing complexity and usage of logical combinational circuits require better methods for teaching and improving students’ engagement.
Time Series Regression: Prediction of Electricity Consumption Based on Number of Consumers at National Electricity Supply Company

Electrical energy is one of the components of Gross Domestic Product that is able to encourage the economy because it has become a basic need of the community. To meet the increasing demand for electrical energy, the Indonesia National Electricity Providers (PLN) need to predict the amount of electrical power required based on the customer numbers to meet the demand for adequate electricity supply. This study aims to predict electric power based on electricity user customers using a time series regression model. The data used in this study are secondary data which get from PLN annual report in 2021. This study resulted in a finding of the best prediction model based on the Akaike Information Criterion (AIC) value, namely the time series regression model with the error value modeled by the AR(1) model, while the forecasting accuracy measure used the value MAPE of 9.77%. This means that the result of model prediction is highly accurate.
Spin-squeezed Gottesman-Kitaev-Preskill codes for quantum error correction in atomic ensembles

Gottesman-Kitaev-Preskill (GKP) codes encode a qubit in displaced phase-space combs of a continuous-variable (CV) quantum system and are useful for correcting a variety of high-weight photonic errors. Here we propose atomic ensemble analogs of the single-mode CV GKP code by using the quantum central limit theorem to pull back the phase-space structure of a CV system to the compact phase space of a quantum spin system. We study the optimal recovery performance of these codes under error channels described by stochastic relaxation and isotropic ballistic dephasing processes using the diversity combining approach for calculating channel fidelity. We find that the spin GKP codes outperform other spin system codes such as cat codes or binomial codes. Our spin GKP codes based on the two-axis countertwisting interaction and superpositions of SU(2) coherent states are direct spin analogs of the finite-energy CV GKP codes, whereas our codes based on one-axis twisting do not yet have well-studied CV analogs. A state preparation scheme for the spin GKP codes is proposed which uses the linear-combination-of-unitaries method, applicable to both the CV and spin GKP settings. Finally, we discuss a fault-tolerant approximate gate set for quantum computing with spin-GKP-encoded qubits, obtained by translating gates from the CV GKP setting using the quantum central limit theorem.
Pelatihan Teknik Effective Public Speaking untuk Meningkatkan Kecakapan Berbicara Dalam Organisasi

Effective Public Speaking Technique Training to Improve Speaking Proficiency in Organizations is held to provide solutions for problems within the IKBI organization PT. Nusantara Plantation Unit PG. Pangkah Afdeling Jatibarang as a partner. There were 27 participants who attended the training which was held at the IKBI PG meeting building in Pangkah subdistrict, Slawi Tegal, Central Java. The majority of its members are still constrained in communicating properly in conveying ideas, ideas, arguments both interpersonally and in public. The solution is that participants are first given an understanding by the facilitators in the form of sharing knowledge of Public Speaking techniques. Then the participants and the facilitators practice implementing these techniques, including techniques for preparing material, methods for delivering material, and vocal techniques. As the result, participants experienced an increase in speaking skills. This skill will increase with the experience as a speaker. Evaluation is carried out by comparing skills before the training and after the training takes place by giving questions and discussions. In addition, the facilitators records and assesses participants, understanding of the material and implementation.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single Anonymous • Conference submission management system: Morressier • Number of submissions received: 49 • Number of submissions sent for review: 43 • Number of submissions accepted: 40 • Acceptance Rate (Submissions Accepted / Submissions Received × 100): 87.8 • Average number of reviews per paper: 2.07 • Total number of reviewers involved: 21 • Contact person for queries: Name: Dicky Harwanto Email: dickyharwanto@lecturer.undip.ac.id Affiliation: Universitas Diponegoro
Digital Organization Dan Lembaga Pendidikan

Seeing the current technological developments continue to experience a drastic increase. In the digital era that is happening now, some human activities involve electronics in helping their workers, this automatically creates a new lifestyle. Digitalization cannot be denied and has a big role in facilitating humans. So that today's technology is a human bridge to enter the digital era civilization. Digital organization is a process carried out by organizations to overcome challenges in the current era and a solution to the impact of the Covid-19 pandemic which requires that all activities outside the home be reduced so that digitalization is very helpful for managing all aspects of activities within the organization, as well as institutions This digital era education is to support the implementation of educational institution activities such as online teaching and learning so that activities in educational institutions can continue even though the Covid-19 pandemic is affected.
على مهارة القراءة في تعليم اللغة العربية لدى الطلاب الصف الحادي عشر في مدرسة الثانوية هداية الله متارام Think Pair Share تأثير اسلوب

The reason the researcher took the title of this study was to find out the effect of Think Pair Share on Maharah reading in language subjects. So the purpose of this study is to find out how influential the think pair share model is on reading skills in learning Arabic. The population in this study were all students of class XI at the Hidayatullah Mataram School and the researchers took 25 students from this population to be sampled in this study. The research approach used is quantitative research. In collecting data, researchers used three research instruments, namely questionnaires, documentation, and observation. The data analysis uses product moment correlation and simple regression with the help of SPSS 16.0 software. based on the results of the correlation analysis, a positive and significant relationship was obtained with a correlation level of R = 66.2% indicating a strong relationship between the two variables. And as for the results of the regression analysis the researcher obtained an R count &gt; R table rcount 0.662 &gt; 0.396 with a significance rate of 0.00 &lt;0.05 so it can be concluded that there is an influence of Think Pair Share (X) on Maharah Qiroah (Y) with the contribution of Think Pair Share (X) to Maharah Qiroah (Y) of Rsquare = 43.9% , therefore, the hypothesis that says "The Effect of the Think Pair Share Model on Reading Skills in Learning Arabic for Grade 11 Students at Hidayatullah Mataram School" is accepted.
PHONOLOGICAL INSTRUCTIONAL STRATEGIES AND PRIMARY PUPILS SPELLING PERFORMANCE IN AKWA IBOM NORTH EAST SENATORIAL DISTRICT

The research determined the effect of three phonological instructional strategies on spelling performance of primary school pupils in Akwa Ibom North East Senatorial District.In order to carry out the study objectively, three specific objectives, three research, questions and three hypotheses were formulated.The study adopted the pretest, post-test,control group non-randomised quasi experimental research design. The population of the study comprised of 11,180 primary two pupils consisting of 5,361 male and 5,819 female from public primary schools and a sample size of 120 respondents. Instruments titled “Pupils Spelling Performance Test (PSPT) was used for data collection Pearson Product Moment Correlation (PPMC) was used to determine the reliability of the instruments, which gave value of 0.83 for PSPT Mean and standard deviation were used for answering research questions while analysis of covariance (ANCOVA) was used in testing the null hypotheses at .05 level of significance.The findings revealed that there is no significant mean difference in pupils’ spelling performance when taught using rhyming, sound deletion, phoneme substitution and Look and Say Instructional strategies.The school administrators should consider in-service training for English teachers in phonological instructional strategies. Curriculum planners should ensure phonological instructional strategies is as teaching methods forteachers in achieving spelling goals as spelling affects reading and writing.
IMPACT OF STRATEGY-BASED READING INSTRUCTIONS ON READING ANXIETY OF UNIVERSITY-LEVEL ESL STUDENTS OF PAKISTAN

There is a scarcity of research on the effects of strategy-based reading instructions on reading anxiety in Pakistan. This action research study fills this gap in the literature by examining the impact of strategy-based reading instructions on the reading anxiety of ESL students at the university level in Pakistan. Employing quantitative analysis, this research explored the effects of strategy-based reading instructions on reading anxiety. With a total of 60 participants—30 students in each cycle—the study was carried out in two action research cycles. Over the course of four months, the participants in both cycles received strategy-based reading instructions. The data was gathered by means of a survey of reading strategies (SORS) and the Foreign Language Reading Anxiety Scale (FLRAS) which was administered during the pre-intervention and post-intervention phases of both cycles. The results of this study demonstrate that implementing strategy-based reading instructions effectively reduces reading anxiety in students. The findings of this study provide valuable insights for educators and curriculum developers, emphasizing the significance of integrating reading strategies into instructional practices as they can help reduce reading anxiety.
Designing Reading Materials for Teaching Agro-Technology Department Based on Communicative Language Teaching in Universitas Islam Madura

The basic goal of teaching and learning English at Agro-Technology Department is to develop the English skills of the students in order that they can understand and comprehend any English references such as textbooks, journals and other sources and they are able to communicate actively. The learning and teaching of English at Agro-Technology Department is considered unable to achieve its objectives. The main problem in this case is there is no an appropriate reading material for the students. The existing material is not in accordance with the needs and the background of the students. Concerning the problem above, a set of suitable instructional material for the students of Agro-Technology Department needs to be developed. The procedure being done in this study are doing need analysis, developing reading materials, expert validation, revising the materials, trying out the materials, and final product. The data from the result of the needs analysis shows most of the students agree to develop reading materials which are suitable with their major content subject namely Agro-Technology science, to include list of vocabulary in the reading materials they are learning, to include grammar review in the future reading materials, to clarify the content of the materials in the explanation, and to arrange the materials according to the degree of its difficulty
BENEFITS AND CHALLENGES IN USING AI-POWERED EDUCATIONAL TOOLS

The introduction of large language model tools, such as Open AI's ChatGPT in November 2022, has sparked considerable discussion on the impact of artificial intelligence (AI) in education.Educators in both K-12 and post-secondary settings began to integrate AI in their classrooms during ongoing discussions about ethical technology use, maintaining academic integrity, safeguarding personal information, and other potential concerns.This poster discusses the current state of AI in education, exploring the various applications of AI in the classroom, the benefits and challenges that come with it, and the potential impact on students and educators.It highlights the role of AI in supporting personalized learning experiences, providing adaptive assessments, automating administrative tasks, and enhancing teaching and learning outcomes.Additionally, this poster examines the need to create effective university policies for AI to promote the ethical and responsible use of AI, reduce legal risks, and ensure a safe and inclusive learning environment for all students.
THE DEVELOPMENT OF A METHOD FOR TEACHING EXTENDED CELLO TECHNIQUES USING FREE IMPROVISATION

Throughout the history of music learning, teaching methods have been a useful tool to explain how an instrument works based on the performance demands at the time.These methods have adapted to the musical style and the interpretative needs around them.They have been used as a reference by performers, composers, musicologists, and scholars to identify the evolution of a certain instrument, teaching technique or stylistic regard.This research is based on explaining the creation process of the method El violonchelo desde una mirada contemporánea (The cello from a contemporary perspective) and its usefulness in teaching and learning contemporary music at the university level.The product is a didactic tool that facilitates the learning process of extended techniques on the cello by using free improvisation as a guide.The project rested on the fulfillment of three specific objectives: the description of twenty extended techniques for the cello, the elaboration of ten free improvisation exercises with extended techniques from the researcher's personal experimentation, and the design of a method based on the information collected.This research was supported under the theoretical framework of practice-based research methodology which in Latin America is referred to as artistic research.As a result, the investigation created a method with a brief explanation of twenty extended techniques for cello and ten exercises focused on teaching these techniques with free improvisation.The aim of this method is to contribute to educational practices, in the sense that it facilitates the development of contemporary music playing and composing skills for both students and teachers at the university level.It also points out the lack of contemporary music teaching in Colombia.The next phase of the project will be to validate its usefulness with music teachers and students in various cities of the country.
Design and Development of Protected E-Voting System

We all know that voting is the primary factor to change the country’s future. Earlier, EVM, i.e., Electronic Voting Machines (EVM) were used to conduct voting across various cities and villages. But there were many issues in this system such as missing names in voter lists, misplaced votes, fake votes and so on. To tackle this problem an electronic decentralized system can be integrated, so one of these decentralized technologies is Blockchain technology. Blockchain-based electronic voting systems are a promising area of research to address the issue with traditional voting methods. The electronic voting system must overcome these issues before it can be used on a large basis. It results in developing a highly secure and transparent E-voting system that can handle all edge cases. This paper presents the results of the basic Blockchain technology implemented to demonstrate the efficient use for the E- Voting. The implementation of this system presents that the user candidate and Administrator can communicate securely using implemented system. This shows the use of Blockchain in the Applications where security is prime importance.
INVESTIGATING ENGLISH LANGUAGE READING AND WRITING ANXIETY AMONG PAKISTANI UNIVERSITY STUDENTS: A CORRELATIONAL STUDY

The undertaken study investigated the correlation between English language reading anxiety and English language writing anxiety. A survey research design was employed, and a sample of 298 BBA students from a private university in Karachi was utilized. The students completed two anxiety-measuring questionnaires: The Foreign Language Reading Anxiety Scale (FLRAS) and the Second Language Writing Anxiety Inventory (SLWAI). Descriptive statistics revealed that the majority of students experienced moderate to high levels of English language reading and writing anxiety. Pearson Product-Moment correlation analysis indicated a strong positive correlation between English language reading anxiety and writing anxiety. This means that students with high levels of reading anxiety were likely to also experience high levels of writing anxiety and vice versa. These findings suggest that teachers should not teach reading or writing in isolation. Instead, they should focus on reducing anxiety levels in reading and writing classrooms. Curriculum developers should also consider incorporating strategies for reducing anxiety into their programs.
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis

Whole slide image (WSI) analysis has become increasingly important in the medical imaging community, enabling automated and objective diagnosis, prognosis, and therapeutic-response prediction. However, in clinical practice, the ever-evolving environment hamper the utility of WSI analysis models. In this paper, we propose the FIRST continual learning framework for WSI analysis, named ConSlide, to tackle the challenges of enormous image size, utilization of hierarchical structure, and catastrophic forgetting by progressive model updating on multiple sequential datasets. Our framework contains three key components. The Hierarchical Interaction Transformer (HIT) is proposed to model and utilize the hierarchical structural knowledge of WSI. The Breakup-Reorganize (BuRo) rehearsal method is developed for WSI data replay with efficient region storing buffer and WSI reorganizing operation. The asynchronous updating mechanism is devised to encourage the network to learn generic and specific knowledge respectively during the replay stage, based on a nested cross-scale similarity learning (CSSL) module. We evaluated the proposed ConSlide on four public WSI datasets from TCGA projects. It performs best over other state-of-the-art methods with a fair WSI-based continual learning setting and achieves a better trade-off of the overall performance and forgetting on previous task
Construction Grammar and Language Models

Recent progress in deep learning and natural language processing has given rise to powerful models that are primarily trained on a cloze-like task and show some evidence of having access to substantial linguistic information, including some constructional knowledge. This groundbreaking discovery presents an exciting opportunity for a synergistic relationship between computational methods and Construction Grammar research. In this chapter, we explore three distinct approaches to the interplay between computational methods and Construction Grammar: (i) computational methods for text analysis, (ii) computational Construction Grammar, and (iii) deep learning models, with a particular focus on language models. We touch upon the first two approaches as a contextual foundation for the use of computational methods before providing an accessible, yet comprehensive overview of deep learning models, which also addresses reservations construction grammarians may have. Additionally, we delve into experiments that explore the emergence of constructionally relevant information within these models while also examining the aspects of Construction Grammar that may pose challenges for these models. This chapter aims to foster collaboration between researchers in the fields of natural language processing and Construction Grammar. By doing so, we hope to pave the way for new insights and advancements in both these fields.
A Study on Hyperparameters Configurations for an Efficient Human Activity Recognition System

Human Activity Recognition (HAR) has been a popular research field due to the widespread of devices with sensors and computational power (e.g., smartphones and smartwatches). Applications for HAR systems have been extensively researched in recent literature, mainly due to the benefits of improving quality of life in areas like health and fitness monitoring. However, since persons have different motion patterns when performing physical activities, a HAR system must adapt to user characteristics to maintain or improve accuracy. Mobile devices, such as smartphones, used to implement HAR systems, have limited resources (e.g., battery life). They also have difficulty adapting to the device's constraints to work efficiently for long periods. In this work, we present a kNN-based HAR system and an extensive study of the influence of hyperparameters (window size, overlap, distance function, and the value of k) and parameters (sampling frequency) on the system accuracy, energy consumption, and inference time. We also study how hyperparameter configurations affect the model's user and activity performance. Experimental results show that adapting the hyperparameters makes it possible to adjust the system's behavior to the user, the device, and the target service. These results motivate the development of a HAR system capable of automatically adapting the hyperparameters for the user, the device, and the service.
Quantum and quantum-inspired optimization for an in-core fuel management problem

Operation management of nuclear power plants consists of several computationally hard problems. Searching for an in-core fuel loading pattern is among them. The main challenge of this combinatorial optimization problem is the exponential growth of the search space with a number of loading elements. Here we study a reloading problem in a Quadratic Unconstrained Binary Optimization (QUBO) form. Such a form allows us to apply various techniques, including quantum annealing, classical simulated annealing, and quantum-inspired algorithms in order to find fuel reloading patterns for several realistic configurations of nuclear reactors. We present the results of benchmarking the in-core fuel management problem in the QUBO form using the aforementioned computational techniques. This work demonstrates potential applications of quantum computers and quantum-inspired algorithms in the energy industry.