Reviewerly/exHarmony huggingface dataset:
A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring

Condition monitoring is one of the most prominent industrial use cases for machine learning today. As condition monitoring applications are commonly developed using static training datasets, their long-term performance is vulnerable to concept drift in the form of time-dependent changes in environmental and operating conditions as well as data quality problems or sensor drift. When the data distribution changes, machine learning models can fail catastrophically. We show that two-sample tests of homogeneity, which form the basis of most of the available concept drift detection strategies, fail in this domain, as the live data is highly correlated and does not follow the assumption of being independent and identically distributed (i.i.d.) that is often made in academia. We propose a novel drift detection approach called Localized Reference Drift Detection (LRDD) to address this challenge by refining the reference set for the two-sample tests. We demonstrate the performance of the proposed approach in a preliminary evaluation on a tool condition monitoring case study.
Along the Wayside, Spring 2023

Other| May 05 2023 Along the Wayside, Spring 2023 Nathaniel Hawthorne Review (2023) 49 (1): 139–140. https://doi.org/10.5325/nathhawtrevi.49.1.0139 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Permissions Cite Icon Cite Search Site Citation Along the Wayside, Spring 2023. Nathaniel Hawthorne Review 5 May 2023; 49 (1): 139–140. doi: https://doi.org/10.5325/nathhawtrevi.49.1.0139 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectivePenn State University PressNathaniel Hawthorne Review Search Advanced Search Session 13-B: “A is for Abortion: Reading Hawthorne’s Political Relevance Today” (Essex North West)ORGANIZED BY THE NATHANIEL HAWTHORNE SOCIETYModerator: Charles Baraw, Southern Connecticut State UniversityAuctions of Hawthorne writings and other nineteenth-century writings in the Bruce M. Lisman Collection of Important American Literature occurred recently at Christie’s, New York. For more information, including items sold, see the link provided.Last time we published a special issue on Hawthorne’s Gothic was Fall 2012. I think it’s time to look at Hawthorne’s Gothic with a new critical lens, as so much has appeared in Gothic studies since then. We are looking for essays between 6,500 and 7,500 words on diverse topics, such as: Hawthorne and ecoGothic; gender reevaluations and the Gothic; how Hawthorne’s stay in Europe changed his view of the Gothic (culminating in The Marble Faun); Gothic family patterns; outsiders and insiders in Hawthorne’s Gothic (including changing concepts... You do not currently have access to this content.
A Comparative Study of Machine Learning Interpretability Methods in Computer Vision

Machine learning models have achieved great success in computer vision tasks, but the complicated architecture made it hard to explain the prediction result and put trust in its application in real life. This paper studies the machine learning interpretability methods in computer vision and summarizes its progress by classifying reference papers based on the research objects, methods, and experiments analysis. At last, this paper summarizes current research progress and gives suggestions for future research directions in the field.
PHENOMENOLOGY OF THE PROJECT CULTURE OF THE TEACHER

Consideration of the integrative-axiological approach as a methodological basis and its ascertainment in the logic of project culture formation determines the possibility and expediency of its application in the context of systemic, multi-subject, personal-activity, cultural approaches.The most important condition for the implementation of the integrative and axiological approach is the personal orientation of the pedagogical process, which allows considering the pupil and the teacher as its equal components, and the content of education as a generalized culture intended for the formation of norms, values, interests of the individual, which contribute to its formation. Following this approach, the process of project culture formation is interpreted and implemented as co-creation.Modern trends in the field of education require a rethinking of the main approaches to the organization of the educational process, provide for the transformation of processes related to personality development. This, in turn, determines the necessity active involvement of student youth in project activities. Project activities contribute to the search for optimal ways, systematic and consistent solving of problems, in particular life problems. It is the implementation of projects in both educational and future professional activities that ensures the development of critical thinking, creativity, independence and requires the proper level of project culture formation. Thus, in the context of modern approaches, the design activity of specialists in various fields, and, therefore, the formation of their project cultures.It has been established that the teacher's project culture, as the most important component of a new type of pedagogical professionalism, is the fundamental basis for theoretical modeling, conceptualization, technologization and practical-project activities in the emerging new reality of education.The formation of project culture among students is facilitated by the provision of psychological-pedagogical, organizational-pedagogical and technological conditions in the educational process. Evaluation of the effectiveness of formative work is carried out on the basis of the dynamics of the levels of formation of the studied phenomenon.
THE ROLE OF MUSEUMS OF HIGHER EDUCATION INSTITUTIONS IN THE VOCATIONAL TRAINING SYSTEM

The development of higher education, professional training of highly qualified future specialists necessitates the use of various forms, methods, and means of organizing the educational process.Today, questions about the peculiarities of university museum complexes, their specific features, as well as how their involvement in the educational process will contribute to the improvement of the professional training of specialists, are gaining relevance and cause considerable interest, since there are very few significant works and studies in this field.In the context of the integration of the educational process and museum activities, the issues of museum pedagogy as a separate interdisciplinary direction of research are becoming more and more relevant.The article reveals the role of museums of higher education institutions as a unique scientific and educational space in the professional training system.The author highlighted the activities of the Museum of History of Kherson State University – a structural unit where educational classes, research projects, meetings of scientific schools are held, scientific research is underway to research new unknown pages, study the history of each faculty.At the Kherson State University, the museum is a structural unit where educational classes, research projects, meetings of scientific schools are conducted, scientific research is underway to research new unknown pages, and study the history of each faculty. Many forms of work have become traditional for preparing young scientists: the annual summary of the student project «From student to professor», «Science schools of the university in the professional self-determined specialist».&#x0D; Postgraduate students studying the history of pedagogy take an active part in the work of the Center for Regional Historical and Pedagogical Research. Also, the museum and archive center is successfully used in the study of individual educational modules of the disciplines «Introduction to the profession», «Management in education», «History of pedagogy», «Pedagogy and psychology of higher education».It was found that the museums of educational institutions are a unique scientific and educational space that expands the possibilities of high-quality professional training of future specialists using modern information technologies. The specified aspects are promising for further scientific research and practical activities of museums of higher education institutions in the system of professional training.
Using the wi-fi capabilities of routers for determining a mobile terminal and its network activity during сyber crimes investigation

The possibilities of Wi-Fi routers for establishing a mobile terminal and its network activity during the investigation of cybercrimes were investigated. In particular, the following problematic issues are revealed: what evidentiary information can be found in a Wi-Fi router, how to record and remove it, as well as circumstances that can hinder the search for an intruder and proving his guilt. The role and importance of electronic communications expertise or forensic comprehensive electronic communications expertise and computer-technical expertise to analyze log files for signs of a cyber attack are highlighted. The peculiarities of searching, fixing and extracting information about the MAC address of the network interface of the Wi-Fi transmitter are detailed.
STUDENTS’ SPEAKING ANXIETY IN SPEAKING SKILLS IN THE CLASSROOM AS A FOREIGN LANGUAGE FOR THE 2nd GRADE AT SMA NEGERI 1 PAREPARE

To speak English, someone, especially among students, needs to master several verbs, and one of the obstacles to speaking English is the lack of verbs among students. Therefore, students face various obstacles. Anxiety is one of the biggest obstacles for students. Therefore, the purpose of this research is to find out what is students' anxiety and what factors cause students' anxiety when speaking in English in class. The sample of this study was MIPA 5 students of XI class of SMAN 1 Parepare which consisted of 35 students. The approach used in this study is descriptive research and qualitative. This study uses two research instruments namely Horowitz et al. (1986) used the Foreign Language Classroom Anxiety Scale (FLCAS) and interviews. The questionnaire had 33 items consisting of 9 positive and 24 negative statements on a Likert scale of 1-5 points, while the interview consisted of 10 questions. According to the survey's findings, there was only 1 respondent with a "Very Anxious" anxiety level or 3%, 5 respondents had "Anxious" anxiety levels or 14%, 6 respondents had "Mildly Anxious" anxiety levels or 46%, 13 respondents had "Relaxed" anxiety levels or 37%, and there were no students with a "Very Relaxed" anxiety level. Considering this, it can be said that the students in Class XI MIPA 5 SMAN 1 Parepare are generally "Mildly Anxious" when speaking English in class. According to the results of the interviews, it is clear that some students who are learning English in a classroom setting still experience anxiety. The factors contributing to this include a lack of vocabulary, imprecise pronunciation, a lack of confidence, being unprepared if the teacher calls on a student to speak in English without warning, and a lack of motivation on the part of the students. From 35 students in class XI MIPA 5, the researchers only interviewed 14 sources.
Breaking the Entangling Gate Speed Limit for Trapped-Ion Qubits Using a Phase-Stable Standing Wave

All laser-driven entangling operations for trapped-ion qubits have hitherto been performed without control of the optical phase of the light field, which precludes independent tuning of the carrier and motional coupling. By placing ^{88}Sr^{+} ions in a λ=674 nm standing wave, whose relative position is controlled to ≈λ/100, we suppress the carrier coupling by a factor of 18, while coherently enhancing the spin-motion coupling. We experimentally demonstrate that the off-resonant carrier coupling imposes a speed limit for conventional traveling-wave Mølmer-Sørensen gates; we use the standing wave to surpass this limit and achieve a gate duration of 15 μs, restricted by the available laser power.
Penerapan Artificial Intelligence Menggunakan Fuzzy Logic dalam Dunia Pendidikan

This research aims to apply artificial intelligence or what is commonly known as Artificial Intelligence (AI) using fuzzy logic in the world of education. The topic of artificial intelligence has become a hot and important topic of conversation today. Fuzzy logic allows processing unclear information and is used to overcome uncertainty that exists in the world of education. This article discusses the use of fuzzy logic techniques to improve the quality of education. One application of fuzzy logic is in the development of an automatic assessment system used by lecturers in providing assessments to students in the learning process. Fuzzy logic can carry out assessments objectively and enable more appropriate curriculum adjustments based on students' interpersonal skills which can ultimately increase the efficiency of the learning process. The use of fuzzy logic can provide recommendations for the learning process that can help students find material that suits their interests and needs. Fuzzy logic can be used to measure student development in social and emotional cognitive aspects. The application of AI with fuzzy logic aims to improve the quality of education and student learning experiences in the world of education.
Problem Decomposition to Leverage Quantum Computing for Optimization Problems

The emerging paradigm of Quantum computing has the potential to transform the established way-of-working in several scientific and industrial fields if the open challenges of applying quantum computing systems for real-world applications are addressed. One of the major challenges is that the quantum computing systems accessible for industrial and commercial users have very few qubits. Several research initiatives are being proposed to work around this constraint. We investigate the amenable scope and limits of a hybrid platform where classical computing works in tandem with quantum computing to address practical problems. Instead of focusing on quantum supremacy or specialized academic problems, this paper proposes a framework where generalized industrial applications can be solved using hybrid computing systems with limited qubit capacity using a decomposition technique that can be modified to any decision-support procedure.
Forecasting the Developer’s Impact in Managing the Technical Debt

Technical debt is a collection of design decisions that, when taken together over time, make the system challenging to maintain and develop. Technical debt impacts the quality of applications by generating structural weaknesses that translate into slowness and functional deficiencies at the development level. Identifying debts in your code, architecture, and infrastructure is of paramount importance and requires an in-depth analysis that requires effort in terms of time and resources. To date, there are several reliable tools for calculating debt in code, but this study aims to forecast the impact developers have on debt in source code. We propose an approach, based on the use of different Machine Learning and Deep Learning classifiers capable of predicting just in time, if the change that the developer is making will have a low, medium, or high impact on the debt. To conduct the experiments, three open-source Java systems available on Github were selected, and for each of these, the entire history was collected in terms of changes, quality metrics and indicators strictly connected to the presence of technical debt. The results obtained are satisfactory, showing the effectiveness of the proposed method.
Enhancing Bug-Fixing Time Prediction with LSTM-Based Approach

This work presents an approach based on Long short-term memory (LSTM) for estimating the bug-fixing time in the bug triage process. Existing bug-fixing time predictor approaches underutilize useful semantic information and long-term dependencies between activities in the bug-fixing sequence. Therefore, the proposed approach is a deep learning-based model that converts activities into vectors of real numbers based on their semantic meaning. It then uses LSTM to identify long-term dependencies between activities and classifies sequences as having either short fixing time or long fixing time. The evaluation on bug reports from the Eclipse project shows that this approach performs slightly better than the current best in the literature, boasting improved metrics such as accuracy, precision, f-score, and recall.
Integration of Classical and Quantum Services Using an Enterprise Service Bus

Early advancements in quantum computing have opened up new possibilities to tackle complex problems across various fields, including mathematics, physics, and healthcare. However, the technology required to construct systems where different quantum and classical software components collaborate is currently lacking. To address this, substantial progress in service-oriented quantum computing is necessary, empowering developers to create and operate quantum services and microservices that are comparable to their classical counterparts. The main objective of this work is to establish the essential technological infrastructure for integrating an Enterprise Service Bus (ESB). This integration enables developers to implement quantum algorithms through independent and automatable services, thereby facilitating the collaboration of quantum and classical software components. Additionally, this work has been validated through a practical case using Zato, a platform that supports service-oriented architectures. By achieving this goal, developers can harness the power of quantum computing while benefiting from the flexibility, scalability, and efficiency of service-oriented computing. This integration opens up new possibilities for developing advanced quantum applications and tackling real-world challenges across various domains.
The Significance of Classical Simulations in the Adoption of Quantum Technologies for Software Development

This paper addresses classical simulations in the assessment of quantum computing performance. It emphasises the significance of these simulations in understanding quantum systems and exploring the potential of quantum algorithms. The challenges posed by the exponential growth of quantum states and the limitations of full-state simulations are addressed. Various approximation techniques and encoding methods are pointed out to enable simulations of larger quantum systems, and advanced simulation strategies tailored to specific goals are also discussed. This work focuses on the feasibility of classical simulation in decision processes regarding the development of software solutions, extending the assessment beyond high-performance computing systems to include standard hardware. This opportunity can foster the adoption of classical simulations of quantum algorithms to a wider range of users.
NON-FUNGIBLE TOKENS AN ARGUMENT FOR THE OWNERSHIP OF DIGITAL PROPERTY?

The paper examines the concept of ownership and its potential application to digital assets, particularly Non-Fungible Tokens (“NFTs”). Technological advancements which allow the creation, storage, and sale of unique digital assets in a purely digital manner have raised many questions about the concept of ‘digital ownership’. However, the legal frameworks regulating the ownership, sale, and legal classification of digital assets have not evolved at the same paceas technology. This leads to legal uncertainty in the digital landscape, and weakened protection for the users of this technology, particularly in the European Union (“EU”). Although the concept of digital property has been discussed theoretically, practical recommendations for the implementation of this concept are still scarce. This paper discusses the concept of digital property after providing a contextual understanding of NFTs and the technology behind them. Finally, the author offersrecommendations for a harmonised EU-level framework for the legal classification of NFTs, and for the concept of digital property.
The Impact of Providing Chatbot Content on Developing the English Communication Skills Among Al-Azhar Kindergarten Teachers

This paper focuses on investigating the impact of using Chatbot content on improving the English communication skills of Al-Azhar Al-Sharif kindergarten teachers. The researcher used a quasi-experimental design to explain the differences that occurred in the teachers` performance before and after the intervention of the Chatbot content. This design required the researcher to develop a performance observation checklist, which is the main tool of this research. In addition, the researcher constructed the Chatbot content and the e-training programme. After the research design was completed, thirty-three (33) female Azhari kindergarten teachers participated in this experiment. The performance observation checklist was used for evaluating the teachers` performance before and after the intervention of the Chatbot content and for measuring the teachers` retention of the acquired skills. At the end of the research, a statistical analysis of the results was applied. The results showed a statistically significant difference at the level of 0.05 on the performance observation checklist`s mean scores of the sample teachers' pre-and post-application of the Chatbot content in favour of the postapplication. The second statistical analysis of the performance observation checklist showed that there is no significant difference between the sample teachers` mean scores in the post- and follow-up application of the Chatbot content. These results are proof that validate the research`s main assumption that Chatbot content can improve the English communication skills of kindergarten teachers.
Implementasi Manajemen Layanan Perpustakaan Umum pada Dinas Perpustakaan dan Arsip Kabupaten Tabanan

This study aims to analyze the implementation of public library service management at the Tabanan Regency Library and Archives Service. This research is qualitative research. The results showed that the implementation of library service management at the Tabanan Regency Library and Archives Service had been implemented but was not optimal because there were still problems in its implementation. Planning (planning) at the Tabanan Regency Library and Archives Service has been carried out properly through the implementation of technical guidance for employees. Organizing, the availability of facilities and infrastructure resources at the Tabanan Regency Library and Archives Service still does not meet the needs of all levels of society in general. The actuating has been carried out but is not optimal due to inadequate human resources, limited funds owned by the Tabanan Regency Library and Archives Service in implementing the program, the lack of a collection of reading books owned by the Tabanan Regency Library and Archives Service. Supervision (controlling) shows that supervision has been carried out through regular meetings, tiered supervision, supervision of employee discipline but has not been optimal because the government's attention is still low on the development of public library functions.
Automatic Fixation of Decompilation Quirks Using Pre-trained Language Model

Decompiler is a system for recovering the original code from bytecode. A critical challenge in decompilers is that the decompiled code contains differences from the original code. These differences not only reduce the readability of the source code but may also change the program’s behavior. In this study, we propose a deep learning-based quirk fixation method that adopts grammatical error correction. One advantage of the proposed method is that it can be applied to any decompiler and programming language. Our experimental results show that the proposed method removes 55% of identifier quirks and 91% of structural quirks. In some cases, however, the proposed method injected a small amount of new quirks.