Reviewerly/exHarmony huggingface dataset:
Exploring Behavioral Trustworthiness of Github Developers

In recent years, many companies demand to hire developers who are active on GitHub, making it increasing important to know the activities and characteristics of developers on GitHub. To date, researchers aim to analyze developer characteristics on GitHub, such as software library skills and types of contributions. However, these studies have not focused on the developers’ "trustworthiness", which we believe it extremely important when working with a team because an untrustworthy developer, no matter how skilled, is difficult to entrust with important tasks. In this paper we focus on the developers’ trustworthiness, and try to quantify their behaviors potentially related to trustworthiness, such as the issue accomplishment rate and the average issue accomplishment time. This paper analyzes developers of two well-known OSS projects, React and Python, and show the quantitative evidence on their trustworthiness.
Development of facility maintenance inspection system based on augmented reality

Although periodic inspections are being carried out on social facilities such as bridges and highways in Korea, visual inspections by inspectors have problems of cost and inefficiency. In this study, an AR glass-based facility inspection system was developed. This system acquires information about a specific facility as an IFC file and converts it into a 3D asset with augmented reality technology applied on the Unity platform, enabling the facility to be inspected on mobile devices and AR glasses. The system can obtain a visual effect by utilizing the AR glass and obtain detailed information of the selected object. In addition, when a damaged facility is discovered, damage information can be stored and managed through interactive communication between the AR glass and the server. Currently, a pilot system has been implemented, and the accuracy of interaction with the virtual object selected on the AR glass has been tested.
A Comparative Study of Hybrid Fault-Prone Module Prediction Models Using Association Rule and Random Forest

Many fault-prone module prediction methods are implemented using machine learning algorithms, and the random forest is well known as the simple and powerful one. However, since the random forest uses an ensemble of decision trees, it is hard to explain why the module is predicted as “fault-prone.” In order to compensate for such a weakness, there have been studies of hybrid prediction methods combining the association rule mining technique with the random forest. In the hybrid method, a module’s fault-proneness is first assessed by the association rules. Then, when the module’s feature does not match any rules, its fault-proneness is evaluated by the random forest model. This paper focuses on how to combine the two techniques and conducts a comparative study to explore a better hybrid prediction method. The empirical results show: (1) it is better to use both association rules of “faulty” and “non-faulty” rather than using only “faulty” rules; (2) it is better to train the random forest classifiers using all data regardless of whether or not they matched association rules.
Using Deep Learning and Object-Oriented Metrics to Identify Critical Components in Object-Oriented Systems

This paper aims at studying the ability of deep machine learning to predict software faults based on object-oriented metrics. This research investigated software faults from the perspective of fault-proneness, faults number and faults frequency, and used data collected from several versions of a Java open-source software system. This study relied on Chidamber and Kemerer suite of metrics as proxy to capture various software characteristics. In this study, the deep learning regression and classification results were compared to linear and logistic regressions. Auto-Encoders (AE) and Principal Components Analysis (PCA) have been used to reduce redundant information from the dataset. To evaluate the prediction ability of the models, this research used the inter-version validation strategy. The results showed that the models can achieve a significant average performance up to 89%.
Driving co-engineering in virtual children’s museum: using community engagement

This study aimed to develop the Sanxingdui Online Children's Museum application jointly. The authors of the study, children aged 12–15, software developers and museum visitors were the co-designers of the application. The collaborative engineering consisted of six consecutive stages of empathizing, defining, ideating, prototyping, testing, and implementing. These stages included a site visit, seminars and consultations, registration, laboratory, and field testing. As expected, the children were more involved in the design process than adults were and reported a high level of acquisition of new knowledge. The stages of empathizing and generating ideas turned out to be especially informative for the children. The field-testing results were satisfactory in terms of usability, functionality, cultural content and gameplay of the application. The paper discusses some collaborative engineering issues at each stage of the study. The work done to create the application has educational value and is important for the preservation of cultural heritage.
A Multifaceted Scientist: a Bio-bibliographic Portrait of A.Yu. Samarin

The review of the eleventh issue of the series “Russian Historians of Science and Technology”, published since 2005 under the auspices of the S.I. Vavilov Institute for the History of Natural Science and Technology of the Russian Academy of Sciences (IHNST RAS), is presented. It is called “Samarin Alexander Yuryevich: materials for bio-bibliography” (Moscow, 2023) and is dedicated to the 50th anniversary of A.Yu. Samarin, the famous historian of books and book business, bibliographer and librarian, historian of science, organizer of research, Deputy Director General for Scientific Publishing of the Russian State Library, Doctor of Historical Sciences, Honored Worker of Culture of the Russian Federation. He has also been successfully cooperating with the IHNST RAS for a long time, being concurrently the chief researcher of the Department of Historiography and Source Studies of the History of Science and Technology. The review reveals the main content of this collection, which in a multidimensional and multifaceted way shows the role and place of A.Yu. Samarin in organizational, scientific and educational activities for the benefit of the Russian book culture, as well as introduces readers to little-known details of his life path. Special attention is paid to the diverse author and editorial activities of A.Yu. Samarin (including as editor-in-chief of the Bibliography magazine, which, after the inclusion of the Russian Book Chamber in ITAR-TASS, was published as an independent publication in 2015—2020). It is concluded that the publication of the index is an important milestone in the development of book, library and bibliographic knowledge about the history, current state and prospects of Russian book culture.
“Bio-bibliographic Self-Publishing”: Bibliographic Indexes to Anniversaries as a Resource for Multidimensional Search

In scientific institutions of the Russian Academy of Sciences special attention is paid to accounting of publications of employees. One of the most widespread information resources allowing to obtain information about publications of a particular scientist remains personal bibliographic indexes, both in printed and electronic form. The article considers biobibliographic indexes on soil science from the collection of the Central Library of the Pushchino Scientific Centre, a department of the Library of Natural Sciences (LNS) of the Russian Academy of Sciences, independently published for jubilee dates of scientists by students and relatives of researchers. The advantages and disadvantages of these indexes as resources for information and bibliographic service are noted.
Historical and Library Research as a Factor of State Cultural Policy

In modern conditions, due to objective reasons, the role of humanitarian research is intensifying to prevent the levelling of national culture and distortion of the foundations of spiritual and moral values of the peoples of Russia. The article emphasizes the importance of historical and library research in solving the urgent tasks of preserving historical memory. It tells in detail about historical and library research in the National Library of Russia, shows their connection with historical and bibliographic research. The significance of the “Sample Provision on the Organisation of Research Activities of the Central Library of the Subject of the Russian Federation” (2023) is revealed. It is emphasized that it is necessary to move from works reflecting individual historical facts to the systematic disclosure of the influence of libraries on the formation of the cultural environment of regions and the country as a whole, which corresponds to the new directions in the state cultural policy.
“Forgive Bibliophilic Hobbies”: Letters From D.V. Ulyaninsky to Book Historians, Publishers, and Collectors

22 letters of 1900—1918 by D.V. Ulyaninsky (1861—1918) addressed to bibliophiles, publishers and collectors are published: B.S. Bodnarsky, L.E. Buchheim, N.P. Likhachev, M.Ya. Paradelov, P.K. Simoni, A.S. Suvorin, V.K. Trutovsky, V.G. Ulyaninsky. They are kept in the Department of Manuscripts of the Russian State Library, the Russian State Archive of Literature and Art, the St. Petersburg branch of the Russian Academy of Sciences and contain valuable information about the formation and fate of the library, as well as the collection of ex-libris D.V. Ulyaninsky, his publishing activities, cooperation with public organizations, personal ties, lifestyle and style of communication. These sources can be used to study the history of bibliophilia, bibliography, antique book trade and in general the intellectual life of Russia in the early XX century.
Outstanding Local Historian of the South Urals (to the 100th Anniversary of B.T. Utkin’s birth)

In the article devoted to the famous bibliographer and local historian Boris Timofeevich Utkin (31.07.1923—21.09.1996), his contribution to the development of Russian bibliographic thought, bibliographic technologies, compilation work, to the popularization of bibliographic work, to the study of the history of libraries of the Urals is considered. Utkin’s school, which emerged in the 1970s, is still active. The methodology of bibliography of local history documents developed by him is used by specialists in creating branch and subject bibliographic resources. B.T. Utkin became the first historian of librarianship in the Urals. Thanks to his publications a number of modern researchers appeared, new facts and events were found, unknown names of librarians-activists were discovered. B.T. Utkin’s popularizing activity in the field of bibliography has no precedents. In the book “Amusing Bibliography”, written together with I.G. Morgenstern, a multidimensional professional image of the bibliographer is presented. The memory of the scientist and practitioner is preserved in the libraries of the region and the Chelyabinsk State Institute of Culture.
Publishing of Periodical Editions in Russia in the First Half of 2023

The authors of the article provide the main statistical indicators of the output of domestic printed periodicals in the first half of 2023, analyzing the current state and trends in the development of this sphere in Russia. 10 tables with comments give an idea of the number of printed newspapers (6159) and magazines (5440), their circulation (1.7 billion copies of newspapers and 277 million copies of magazines) and topics. Special attention is paid to the typological characteristic of the content of these publications.
The Dichotomy of the Modern American Dream (based on the CACS 2000-2021 Corpus of American Ceremonial Speeches)

The American Dream is a set of beliefs that have been deeply ingrained in the American consciousness since the nation's founding. It is also the idea that anyone, regardless of their background or circumstances, can succeed through hard work and determination. While stories of the American dream generally refer to achieving success in America through hard work and persistence, the definition of the American dream varies widely, as it can be determined by many different factors. For some, it could mean achieving financial wealth, self-fulfilment, social justice or equality, while others may perceive it as a journey of failure, hardship, poverty and huge debt. The ambiguity of the American dream also reflects the fact that success in America is not always determined solely by hard work and determination. Other factors such as luck, opportunity and social networks can also play a significant role. This can make it difficult to ascertain the extent to which individual effort truly determines a person's destiny. The purpose of this study is to analyse the dichotomy of the modern American dream, which encompasses not only success and wealth, but also disillusionment with achieving goals, debt, and consumerism.To achieve the goal of the research specially created Corpus of American Commencement Speeches was used –CACS (2000-2021), which contains 100 commencement speeches from 2000–2021. AntConc Corpus Manager was used to work with the CACS.
Unmasking the Misconceptions: The Power of Test Design in Automation

This article explores the prevailing misconception in the realm of test automation the notion that automation harbors the exceptional potential to convert subpar test design into streamlined and dependable procedures. The paper highlights the inseparable connection between test design and successful test automation, emphasizing that the effectiveness of automation is dependent on the quality of the tests it automates. The paper argues that inadequate test design cannot be rectified by automation. By employing tangible instances from the real world and insightful perspectives that are applicable in practice, it emphasizes the importance of robust principles for designing tests. Additionally, it delves into the potential consequences that can arise from neglecting the design aspect of testing and offers strategies for aligning test design with automation in order to maximize the effectiveness of testing endeavors. This paper serves as a cautionary message to the testing community, underscoring the fact that automation is merely a tool and not a universal solution. It further asserts that the key to success lies in establishing a solid foundation of well-crafted tests.
Motion mode distribution of spiral maneuvering target during reentry phase

Obtaining the probability density distribution of target motion mode is the basis for model set design in multi-model tracking methods. During reentry, the target is expected to perform a violent spiral maneuver due to aerodynamic resonance between roll and pitch modes, the motion of target is highly nonlinear and the spiral frequency is a prior unknown random variable. This paper evaluates the probability distribution of spiral frequency of reentry target under three different types of maneuvering control inputs, which can provide guidelines for the design of model sets. This work is based on the dynamic model of reentry spiral motion presented in this paper, whose effectiveness has been verified by using a large number of Monte Carlo simulations.
The 2010 Census Confidentiality Protections Failed, Here's How and Why

Using only 34 published tables, we reconstruct five variables (census block, sex, age, race, and ethnicity) in the confidential 2010 Census person records. Using the 38-bin age variable tabulated at the census block level, at most 20.1% of reconstructed records can differ from their confidential source on even a single value for these five variables. Using only published data, an attacker can verify that all records in 70% of all census blocks (97 million people) are perfectly reconstructed. The tabular publications in Summary File 1 thus have prohibited disclosure risk similar to the unreleased confidential microdata. Reidentification studies confirm that an attacker can, within blocks with perfect reconstruction accuracy, correctly infer the actual census response on race and ethnicity for 3.4 million vulnerable population uniques (persons with nonmodal characteristics) with 95% accuracy, the same precision as the confidential data achieve and far greater than statistical baselines. The flaw in the 2010 Census framework was the assumption that aggregation prevented accurate microdata reconstruction, justifying weaker disclosure limitation methods than were applied to 2010 Census public microdata. The framework used for 2020 Census publications defends against attacks that are based on reconstruction, as we also demonstrate here. Finally, we show that alternatives to the 2020 Census Disclosure Avoidance System with similar accuracy (enhanced swapping) also fail to protect confidentiality, and those that partially defend against reconstruction attacks (incomplete suppression implementations) destroy the primary statutory use case: data for redistricting all legislatures in the country in compliance with the 1965 Voting Rights Act.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
gPCE Uncertainty Quantification Modeling of LiDAR for Bathymetric and Earth Science Applications

Most LiDARs, though precise, are vulnerable to position and pointing errors, and while fidelity of location/pointing solutions can be extremely high, determination of uncertainty remains relatively basic. As a result, NASA’s 2021 Surface Topography and Vegetation (STV) Incubation Study Report lists vertical, horizontal, and geolocation accuracy as an associated Science and Application Traceability Matrix product parameter for most identified Science and Application Knowledge Gaps (Surface Topography and Vegetation Incubation Study Team, 2021). Currently, standard uncertainty quantification (UQ) approaches are plagued by simplifying approximations, ignored covariances, as well as improperly modeled (often exclusively Gaussian) uncertainty sources. The presented generalized polynomial chaos expansion (gPCE)-based method has wide-ranging applicability to improve vertical, horizontal positioning and geolocation uncertainty estimates, for all STV disciplines, by more completely describing total aggregated uncertainties, from system level to geolocation, and intrinsically accounting for covariance between variables (without the need to manually construct a covariance matrix). gPCE also does not rely on many of the simplifying assumptions used in standard methods. Most importantly, it supports a number of additional (non-Gaussian) uncertainty sources and arbitrarily high orders of variable cross-moments. gPCE is presented here, for the bare Earth case, as a proof of concept.
ChatGPT in Government

This chapter explores the transformative potential of ChatGPT and Web3 in the realm of government services. Notwithstanding the slower pace of adoption compared to sectors like finance and education, the impact of these innovative technologies on public administration can be substantial. The chapter offers a detailed overview of how ChatGPT can enhance citizen engagement, streamline administrative processes, aid in policy development and analysis, and encourage inter-agency collaboration. It discusses potential applications, such as improving governmental communication, automating mundane tasks, and identifying policy trends. Equally important, the chapter addresses the ethical challenges that come with the use of AI in government, including data privacy, security, transparency, and the necessity of maintaining public trust. Moreover, the chapter introduces the exciting possibility of integrating ChatGPT with Web3 to revolutionize government services like citizen services, tax filing, and voting processes. This prospective examination underscores the future potentialities of these technologies, serving as an insightful guide for governments intending to leverage AI and blockchain technologies to improve their citizen services.
The Department Chair and Educational Technology

The Department ChairVolume 34, Issue 3 p. 24-27 Articles The Department Chair and Educational Technology Karen Cook Bell, Karen Cook BellSearch for more papers by this author Karen Cook Bell, Karen Cook BellSearch for more papers by this author First published: 26 December 2023 https://doi.org/10.1002/dch.30561Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References Department of Education, Office of Educational Technology. 2017. “ National Educational Technology Plan.” https://tech.ed.gov/netp. Google Scholar Pacansky-Brock, Michelle. 2016. “How to Keep the Human Element in Online Classes.” EdSurge, April 27, 2016. https://bit.ly/3VgN8Xp. Google Scholar Volume34, Issue3Winter 2024Pages 24-27 ReferencesRelatedInformation
Predicting adolescent violence in Wartegg-ZeichenTest drawing images based on deep learning

This thesis deals with the problem of negative behaviour due to changes in mental and physical stress in adolescence. In particular, it is a study to solve the health care problem of students exposed to violence. Among the problematic behaviours, students exposed to violence, especially, have many problems with healthcare. A projective test using pictures can elicit information from adolescents through direct experiences represented by pictures to which the subject unconsciously reacts. Few methods analyse images drawn by adolescents as image data. This study analyses data from 134 violent students who received fifth-degree punishment for violent behaviour and 134 nonviolent students. We use the convolutional neural network (CNN)(softmax), CNN (support vector machine (SVM)), with the style transfer generative adversarial network, and ensemble techniques to analyse drawn images using WZT and predict violence through deep learning. We predict violence from pictures with an accuracy of 93%–98%. This study is the first to automatically analyze and predict violence with a deep learning model in images drawn by adolescents on WZT. It also features WZT to proactively conduct violence investigations to improve health care for students. Advances in deep learning for image feature extraction are expected to provide more research opportunities.
Entanglement generation between distant spins via quasilocal reservoir engineering

The generation and preservation of entanglement is a central goal in quantum technology. Traditionally, dissipation in quantum systems is thought to be detrimental to entanglement, however dissipation can also be utilized as a means of generating entanglement between quantum spins that are not directly interacting. In particular, entanglement can be generated between two qubits, or multiqubit systems via a collective coupling to a reservoir. In this work, we explore multiple spin domains pairwise coupled to different reservoirs and show that entanglement can be generated between spins which are not coupled to each other, or even coupled to the same reservoir.