Reviewerly/exHarmony huggingface dataset:
Leveraging Historical Data to Support User Story Estimation

Accurate and reliable effort and cost estimation are still challenging for agile teams in the industry. It is argued that leveraging historical data regarding the actual time spent on similar past projects could be very helpful to support such an activity before companies embark upon a new project. In this paper, we investigate to what extent user story information retrieved from past projects can help developers estimate the effort needed to develop new similar projects. In close collaboration with a software development company, we applied design science and action research principles to develop and evaluate a tool that employs Natural Language Processing (NLP) algorithms to find past similar user stories and retrieve the actual time spent on them. The tool was then used to estimate a real project that was about to start in the company. A focus group with a team of six developers was conducted to evaluate the tool’s efficacy in estimating similar projects. The results of the focus group with the developers revealed that the tool has the potential to complement the existing estimation process and help different interested parties in the company. Our results contribute both towards a new tool-supported approach to help user story estimation based on historical data and with our lessons learned on why, when, and where such a tool and the estimations provided may play a role in agile projects in the industry.
Comprehensive Scientometric Analysis and Longitudinal SDG Mapping of Quality and Reliability Engineering International Journal

Chandan Kumar1*, Debidutta Pattnaik2, Valentina Emilia Balas3 and Raghu Raman4 Author informationPDFCitations 1Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, INDIA 2International Management Institute, Bhubaneswar, INDIA 3Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, ROMANIA 4Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, INDIA Corresponding author. Correspondence: Chandan
Penerapan Media Web Wordwall untuk Meningkatkan Hasil Belajar PAI Siswa di SMP Negeri 2 Langsa

Wordwall web media is one of the varied learning media that displays text information, still or motion pictures, animations, sounds, and videos that are fun for students in the form of games/quiz. This research is based on the fact that in PAI learning the teacher still has not maximized the use of media, so that the student learning process is sometimes less conducive. The purpose of this study was to find out whether the application of this wordwall web media could improve PAI learning outcomes for students at SMP Negeri 2 Langsa. This research is a Classroom Action Research (CAR) which consists of two cycles, the data is taken through data collection techniques in the form of data from observing student activities during the learning process using web wordwall media, student learning outcomes and also interviews. The data that has been collected is then processed with qualitative data analysis. The result of this research is that there is an increase in PAI learning outcomes through the application of web wordwall media at SMP Negeri 2 Langsa. This can be seen from the achievement of students' KKM scores and the percentage that has increased in learning outcomes shown in the first cycle of 67% and an increase in the second cycle to 86%. So the increase in student learning outcomes in learning wordwall web media is said to be successful.
On the Issue of the Formation of Moral Values among Cadets within the Educational Process of Universities of the Federal Penitentiary Service of Russia

The relevance of the article is due to the necessity of moral values formation among the university cadets of the penitentiary system of the Russian Federation, which in turn is determined by numerous normative acts. For-mation of moral values among cadets of departmental universities, according to the authors, is actualized to the fullest extent through the inclusion of additional educational activities in the work of the university. Conduct-ed research (the initial stage of the experiment) in the cadets of the Academy of Federal Penitentiary Service of Russia, Voronezh Institute of Federal Penitentiary Service of Russia and Vladimir Law Institute of Federal Peni-tentiary Service of Russia revealed insufficiently high level of knowledge of terminology on moral issues, as well as insufficient formation of cadets’ ideas about moral values and moral norms that should be observed by the officer of the penitentiary system. The authors have developed and implemented in the work of the curator of the training group the educational-methodical manual “The Honor of the Regiment”, designed for the for-mation of spiritual and moral values among cadets. The article outlines the objectives of the manual, as well as a list of topics of seminars and practical classes (trainings) proposed in the manual. By analyzing the results of the experimental work, the authors prove the effectiveness of the developed educational-methodical manual.
Educational Motivation: Factors of Influence, the Role of Intrapersonal Conflict

This article defines the factors influencing the formation of educational motivation. It is emphasized that its de-velopment is a long and heterogeneous process, affected by both external circumstances and the internal state of a person. Besides, it is stressed that motivation to training, formed against the background of the opinion of others or due to other reasons, not produced by an individual as a result of personal interest in a particular pro-fession, tends to change. In this case, the results of educational activities are usually low. The author examines the relationship between educational motivation and intrapersonal conflict, establishes its influence on the choice of the sphere of application of professional efforts, the strategy of behavior of a future specialist, the results of university studies. It is concluded that the presence of an internal conflict corrects learning motivation, specifies individual development goals, determines the subject’s desire for self-improvement.
2D Data Plotting

In this chapter, you will look at styles and techniques for plotting two-dimensional data. You will start with some simple plots and then progress to those that include multiple sets of data on the same plot. While Python contains specialized built-in functions that can be quite efficient at this, usually requiring only a few lines of code, you will find that you can embellish your plots by taking a more hands-on approach and being creative by supplementing the specialized Python functions with simple Python commands. For example, the plot in Figure 8-1 requires only three lines of specialized code after the setup and data has been entered. Figure 8-5, on the other hand, can be a challenge to create using just specialized Python commands, but that is how it has been done by Listing 8-5. The use of simple commands, plus a little creativity, can often make the job much easier and produce better results. Following simple data plots, you will move on to linear regression where you fit a straight line to a data set. You will then see how to fit non-linear mathematical functions to the data. The last thing you explore is splines. A spline is a smooth curve that passes through each data point.
A Study on the Analysis of a Extra-curricular Programs in Universities for the Promotion of Culture and Arts Education: Focusing on four-year universites in Seoul and Gyeonggi Province

This study is a basic survey to develop culture and arts education programs using comparison programs conducted by universities. The purpose is to provide basic data for culture and arts education for college students by analyzing the results of surveys of perceptions and preferences for each program. The ques-tions were organized by referring to the questions of previous research and existing in-university surveys, and an online survey link was distributed to adults attending college or experiencing college life. The sur-vey period was from December 3, 2022 to January 2, 2023, and a total of 226 copies were used for final statistical processing using SPSS Statistics. According to the results derived from this study, participation and satisfaction in comparison programs were quite high, but there were complaints about similar programs and topics every year. On the other hand, there was a desire to participate in culture and arts education programs, but most of the respondents were dissatisfied with high costs and low accessibility. Based on these results, the researcher intends to develop future culture and arts education programs using com-parative programs with good accessibility.
Creation of the Short Documentary 'Sampah Siapa? Siapa Sampah?" for Waste Management Awareness and Sustainable Development in Surabaya

The Sustainable Development Goals (SDGs) represent a global action plan endorsed by world leaders, including Indonesia, comprising 17 Goals and 169 Targets, the SDGs aspire to be achieved by 2030. This study focuses on environmental preservation, aligning with Goal 15 (preserving terrestrial ecosystems), Goal 6 (access to clean water and sanitation) and Goal 14 (conserving marine ecosystems). Environmental degradation remains a detrimental factor in disrupting Earth's natural ecosystems, impacting various aspects of the environment and giving rise to problems such as floods, which inevitably lead to various diseases, bacteria, and even viruses. Waste is generated, ranging from household refuse to industrial waste. Our current challenge lies in a lack of public awareness regarding the importance of responsible waste sorting. We hope that the public will shift their perspective on waste from being a "negative" aspect to a resource that can be repurposed for the betterment of society and the environment. To raise awareness, we have created short videos featuring testimonies from individuals affected by waste pollution in their communities. Waste management serves as a solution and is a crucial element of our video content, as it not only raises awareness but also imparts essential knowledge to the public, helping to reduce waste generation and simplify the waste separation process. This, in turn, minimizes the residual impact of waste disposal. Our study underscores the significance of promoting waste management awareness to achieve the SDGs. Through educational videos and public engagement, we aim to inspire individuals to take proactive steps in preserving our environment and building a sustainable future.
Enhancing acoustic contrast in multi-zone sound field reproduction through optimization of loudspeaker arrangements

In this study, we propose a stepwise-based approach, predefined in descending order of source power, to optimize loudspeaker placement in multi-zone sound field reproduction systems. The aim is to enhance the acoustic contrast (AC) between acoustically bright and dark zones. The proposed method is benchmarked against two previously studied approaches: the Genetic Algorithm (GA) and the Greedy-based approach. Numerical simulations are conducted to evaluate and compare the performance of each method. Results demonstrate that the proposed method surpasses the Greedy-based approach in terms of AC, while offering performance comparable to the GA-based approach. Importantly, the proposed method exhibits lower computational complexity than the GA, suggesting a more practical solution for real-world applications.
Acoustics of a Sitzprobe rehearsal

A Sitzprobe rehearsal is normally the first-time singers and orchestra play together. It requires the fire curtain to be lowered pushing the vocalist to the very edge of the stage. A series of acoustics tests were undertaken on behalf of The Royal Opera House to establish this change in the environment as far as the musicians were concerned. Measurements were taken at two key positions, 2nd violins and the conductor location whilst a single sound source was positioned centre stage, the control condition, front of stage and around the auditorium. In addition, sound control solutions were tested and proposes to reduce sound exposure are presented.
Target-Driven Visual Navigation Using Causal Intervention

Target-driven visual navigation has gained significance and presents great potentials in scientific and industrial fields. However, how to achieve faster convergence and better generalization is a challenging problem. One of the most critical hurdles is the neglect of confounders, which often leads to spurious correlations. Confounders make it difficult to discover the real causality and therefore are taken into consideration in some other fields. In this paper, we introduce a Causal Intervention Visual Navigation (CIVN) method, based on deep reinforcement learning and causal inference. We propose to realize causal intervention in navigation via front-door adjustment as most confounders are unobservable. Specifically, CIVN is implemented by Target-Related Shortcut, which serves as an approximation of causal intervention. To eliminate the confounding effect, we adapt cross-sampling and strengthen the target information. It is worth mentioning that causal intervention is for the first time applied by us in solving the confounding effect in target-driven visual navigation. Navigation results on AI2-THOR demonstrate that CIVN converges faster and achieves better evaluation performance than prior arts. Moreover, the generalization for unknown targets and scenes is also improved.
Students Error in Pronouncing English Post Alveolar Consonants at The Eleventh Grade of Senior High School 1 Jambi City

This research was aimed to find out the student error in pronouncing English post alveolar consonants sound at the eleventh grade of Senior High School 1 Jambi City. The research methodology of this study was qualitative descriptive research which involved the subject. The subject of this research is XI MIPA 2 of Senior High School 1 Jambi City which contains of 36 students. In collecting the data, the researcher gave test and collected the student transcript. The result of the research showed that the eleventh grade students of Senior High School 1 Jambi City got a high percentage of error in pronouncing English post alveolar consonant sounds. The type of error that have very high significance to pronounce by the students is /ӡ/ sound which is 86%. In contrast with /∫/ sound where the students just made low percentage of an error pronunciation in 14%. From four categories of errors which is addition. Omission, substitution and ordering, the most dominant error made by the students are substitution with percentage 97,7%.
The Correlation of Self-efficacy Towards Students’ Writing Skills at Eleventh Grade Students of Senior High School 9 Jambi City

The purpose of this research was to find out whether there is any correlation of self-efficacy toward students’ writing skills at eleventh grade students of Senior High School 9 Jambi City. This research used quantitative method with correlational research as the design. The population in this research was eleventh grade students of Senior High School 9 Jambi City with total 240 students and the sample in this research was 71 students taken by using simple random sampling technique. The technique data collection in this research using questionnaire and writing test. The data were analyzed by using person product moment correlation coefficient by SPSS 21. The result of the correlation coefficient (r) was 0.690 and that was higher than the rtable 0.230 on significant level 5%. The result of hypothesis test was 0.000 &lt; 0.05. It means that Ho was rejected and Ha was accepted because the value of Sig. is less than the 0.05. In conclusion, there is significant correlation of self-efficacy towards students’ writing skills at eleventh grade students of Senior High School 9 Jambi City.
Binary Synchronous Compression Algorithm for Big Data Based on Feature-Sample Selections

The feature selection and the sample selection are main way of data preprocessing to optimize the original dataset, which can solve the problems of long computing time and low accuracy in big data multi-classification area. However, the traditional selection strategy itself requires a lot of computing time; Meanwhile, the order of the adopted multiple selection strategies will affect the optimization results. Aiming at these problems, this paper proposed a binary synchronous compression algorithm (BSCA), which includes three key parts: firstly, a feature selection method and a sample selection method based on variance analysis and random sampling comparison, respectively, are presented; Then, the proposed two methods handle the original dataset synchronously and mark the selection results; Finally, according to the labeling results, the selected features in the selected samples are extracted to form a new sample dataset as the optimization result. The experimental results show that the proposed BSCA is effective by neural network classification problem.
Dynamic Collaborative Path Planning for Remote Assistance of Highly-Automated Vehicles

Given its increasing popularity in recent years, teleoperation technology is now recognized as a robust fallback solution for Automated Driving (AD). Remote Assistance (RA) represents an event-driven class of teleoperation with a distinct division of tasks between the Autonomous Vehicle (AV) and the remote human operator. This paper presents a novel approach for RA of AVs in urban environments. The concept draws in-spiration from the potential synergy between highly-automated systems and human operators to collaboratively solve complex driving situations. Utilizing a hybrid algorithm that makes use of the Operational Design Domain (ODD) modification idea, it considers actions that go beyond the nominal operational space. Combined with the advanced cognitive reasoning of the human remote operator the concept offers features that hold potential to significantly improve both RA and AD user experiences.
PELATIHAN PENYUSUNAN LKPD BAHASA INDONESIA BERBASIS ETNOPEDAGOGI DI SD N 10 PEMECUTAN

This community service was carried out because of the problems faced by teachers at SD N 10 Pemecutan related to learning tools, teachers use several learning tools such as lesson plans, learning media, learning materials and LKPD, but the use of LKPD still uses LKS which have not been made specifically by utilizing wisdom. local Bali, even though the implementation of LKPD based on local wisdom is really needed because the LKPD links and develops learning concepts with local wisdom that exists in the local area. The local wisdom values ​​contained in the LKPD can be a foundation for developing Indonesian language learning. Community service activities regarding training in preparing Indonesian language LKPD based on ethnopedagogy have been running and are 100% realized. This service was carried out by providing materials, training in preparing LKPD, and assistance in preparing LKPD in Indonesian based on ethnopedagogy. This was shown by the questionnaire average of 94.5% of teachers feeling that the training carried out was very effective
Methods of Teaching Reading in Russian in The Karakalpak School

The article discusses the effectiveness of methods and techniques for teaching reading in Russian in the Karakalpak school. Recommendations are given to teachers when setting goals and objectives for teaching conscious reading. Consciousness of reading consists in a clear and accurate understanding by the student of the text being read. A good way to sensible good reading is a clear and accurate understanding of what is read by the listeners. The basic requirements and conditions for the correct reading of students are also given. The main mistakes of students and teachers in teaching and mastering correct reading. When reading, the student must understand every word, every phrase, every sentence, in order to correctly and accurately understand the main thoughts expressed as a whole in the work, since the ultimate goal of reading is understanding the whole work.
Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks

Mobile edge computing (MEC) is an enabling technology for next-generation network architectures to deliver more diversified communication services and meet more demanding quality-of-service (QoS) requirements. However, owing to the growing scale and heterogeneity of the networks, energy-efficient resource allocation in heterogeneous MEC (Het-MEC) networks faces great challenges. As an emerging research area, multi-agent deep reinforcement learning (MADRL) is expected to realize autonomous resource allocation in Het-MEC networks by learning from trial and error. Nevertheless, existing MADRL-based solutions are usually not applicable to practical scenarios by the limitations of centralized control schemes or massive signaling overhead. To address the issue, we first formulate the energy-efficient resource allocation problem in Het-MEC networks as a time-variant mixed-integer nonlinear programming (MINLP) problem. Then, we propose a fully decentralized collaborative MADRL-based algorithm featuring the multi-actor shared-critic (MASC) architecture and the regional training distributed execution (RTDE) framework, which effectively stabilizes model training and reduces information exchange, respectively. Finally, we conduct extensive simulations to evaluate the performance of the proposed algorithm. Numerical results demonstrate that the proposed algorithm comprehensively outperforms several mainstream baseline methods in terms of convergence performance, scalability, and robustness.
User Cold Start Problem in Recommendation Systems: A Systematic Review

The recommendation system makes recommendations based on the preferences of the users. These user preferences usually come from the user’s basic information, item rating, historical data, and so on. The "user cold start problem" happens when a new user cannot be appropriately suggested due to a lack of more detailed preference information. In many instances, the user cold start problem hinders the use of the recommendation system. Many researchers are currently trying to discover a solution to the user cold start problem. Unfortunately, there are two drawbacks in the current systematic reviews of how to deal with the user cold start problem. First, systematic reviews on how to deal with the user cold start problem are scarce or outdated. Second, existing reviews lack the distinction between the user cold start problem and the item cold start problem. Nevertheless, the solutions to the two problems differ. To address these problems, our study thorough review of all literature published by researchers from January 2016 to April 2023 about 8 years. Firstly, this study analyzes the literatures on approaches that addressed the user cold start problem during the past eight years and divides them into two categories: data-driven technology and approach-driven technology, and then describes and classifies each type of technology in detail. Secondly, this study also analyzes the main evaluation criteria currently used in these methods to provide a reference for researchers in related fields. Finally, this paper also points out the future research direction of this field.