Reviewerly/exHarmony huggingface dataset:
Smart Door Opening System Using CNN

Since the COVID-19 outbreak, a global healthcare emergency has developed. Through the droplets of sick people, this virus spreads from one person to another so wearing face mask is the best way to prevent COVID-19.The study discusses a smart door system that employs the convolutional neural network, machine learning technique to identify face masks. The face mask detection technique had an f1 score of 0.93 and accuracy of 0.94. The system to recognise face mask, track body temperature, and person’s count entering a particular area is implemented using a Raspberry Pi module that interfaced with sensors and USB camera. Desktop computer is used to construct graphical user interface that shows real-time photos, number of people in the room, and the message. When someone enters with a high body temperature, the buzzer is used to alarm others. This method is applicable to any workplace, hotel, residential entrance, restaurant, institution, etc.
Listening to music: Methodological aspects of a music teacher’s work

The article highlights the role and methods of organizing music listening with students in institutions of specialized music education, which involves working with musical artifacts. The specified questions relating to the organization of this type of activity within various disciplines (“Listening to Music”, “Musical Literature”, “Ukrainian and World Musical Art”) in institutions of specialized music education. Based on her own long-term pedagogical experience in institutions of specialized music education, the author presents the techniques aimed at activating the students’ creativity in institutions of specialized music education in the process of organizing listening to musical works, which will be useful to art teachers in institutions of general secondary education. These techniques implement conceptual provisions developed by a team of authors-teachers of the Department of Music Theory of the Lviv Krushelnytska State Music Lyceum (Lviv, Ukraine) in methodological and program of a complex of musical and historical disciplines (“Listening to Music”, “Musical Literature”, “Ukrainian and World Musical Art”) in institutions of specialized music education based on national musical art and in its integration with other types of art as well as taking into account continuity in the content and teaching methods of the musical and historical subjects from the 1st to the 11th (12th) grades. A complex of programs corresponds to the principles of the New Ukrainian School. The author concludes that the most important guide for teachers is active listening, the development of students’ creative potential through improvisation, dramatization, composition, and other techniques that awaken creativity, motivate to knowledge, and eventually expand and shape the musical worldview. It is advisable to combine complementary forms of work aimed at educating students in the necessary abilities and skills of a creative approach to reading musical texts for an effective educational process. That is why further research can focus on various psychological and pedagogical tools for shaping the perception of musical works, especially their understanding and “passing” through the prism of performance, through involvement in various types of music making.
Quantum Neural Network with Parallel Training for Wireless Resource Optimization

Quantum neural network with parallel training (called PS-QNN) is presented in this study to optimize wireless resource allocation. Instead of sending the whole dataset, each edge only requires to send the statistical parameters of the dataset; hence reducing the dimension of training data. As a particular case, the proposed PS-QNN is utilized to optimize transmit precoding and power allocation in non-orthogonal multiple access with multiple-input and multiple-output antennas (MIMO-NOMA). Compared to the conventional training method, analysis shows that the proposed parallel training yields a lower complexity, while achieving a comparable sum rate compared to conventional method.
ZITA: Zero-Interaction Two-Factor Authentication using Contact Traces and In-band Proximity Verification

Two-factor authentication (TFA) provides an additional layer of protection to commonly-occurring password breaches. However, existing TFA methods, often involve special hardware interfaces, or require human effort which is prone to errors and acts as an adoption detractor for older adults and novice technology users. To address these limitations, we propose a zero-interaction, two-factor authentication (ZITA) protocol. In ZITA, the first factor is implemented using the conventional username and password methods. The second factor is completed without any human effort provided that the user is not accessing the service from an unregistered public device and a designated secondary device is physically co-present. To automate the second factor, ZITA exploits the long-term contact between the login device and the secondary device such as a smartphone. Moreover, to thwart man-in-the-middle and co-located attacks, ZITA incorporates a proximity verification test that relies on the randomness of ambient RF signals. Compared with other zero-effort TFA protocols, ZITA remains secure against advanced threats and does not require out-of-band sensors such as microphones, speakers, or photoplethysmography (PPG) sensors.
AppleGo: React Js (Web Application)

Abstract: In today's digital landscape, users face the inconvenience of visiting multiple platforms to hunt for the best prices on Apple devices. However, "AppleGo" aims to be the solution to this problem. This innovative platform consolidates listings of nearby shops on a single platform, enabling users to effortlessly compare and discover the most favorable prices for their desired devices. "AppleGo" is a groundbreaking online platform designed to revolutionize the way users find Apple devices from nearby shops. It eliminates the need for physically searching multiple stores by offering a comprehensive list of available devices, complete with the best discounts. Users can conveniently identify the ideal option without the hassle of in-person visits. This platform also empowers local Apple shop owners, facilitating easy registration and the showcasing of services and packages to potential customers. By enhancing visibility and expanding their customer reach, "AppleGo" aids shop owners in growing their businesses. In essence, the platform bridges the gap between users and shop owners, creating a win-win solution that saves time and effort for users and boosts business prospects for local shops.
A Model Design in UAV Technology: A Multi-controller-based Wi-Fi Imaging Drone

Abstract: A noticeable advancement in the concept of “Unmanned Airborne Vehicle” (UAV) has been manifested with the advancement of the controller technology. Many critical Earth terrains and a few destinations required to be imaged. This challenge can be overcome by developing the imaging aviators. The modern technology is focusing on the flight controller systems for the purpose-driven work. Although there are some iconic developments in the flight automation system but yet there is a need of simplified flight controller with the support systems. The present work aims to develop a prototype of a Wi-Fi based imaging drone based on multicontroller processing system. A few concepts of earlier model designs on UAV technology are thoroughly studied and the scope of linking new modules for the enhanced precision in flight control are utilised in this work. Finally, this work has resulted into an open source editable “all-in-one” platform with a model algorithm that fits into the future designs along with the compatible supplementary hardware.
Wave Function Formulation for A Circular Motion

The particle that moving on a circular path under a certain constraint is studied using Lagrangian mechanics (Euler Lagrange equation). The action function is obtained by integrating the Lagrangian through time interval ; from this function we can calculate the wave function , the behavior for the action function and the wave function is described through illustrative graphs.
Discovering environments with XRM

Successful out-of-distribution generalization requires environment annotations. Unfortunately, these are resource-intensive to obtain, and their relevance to model performance is limited by the expectations and perceptual biases of human annotators. Therefore, to enable robust AI systems across applications, we must develop algorithms to automatically discover environments inducing broad generalization. Current proposals, which divide examples based on their training error, suffer from one fundamental problem. These methods add hyper-parameters and early-stopping criteria that are impossible to tune without a validation set with human-annotated environments, the very information subject to discovery. In this paper, we propose Cross-Risk-Minimization (XRM) to address this issue. XRM trains two twin networks, each learning from one random half of the training data, while imitating confident held-out mistakes made by its sibling. XRM provides a recipe for hyper-parameter tuning, does not require early-stopping, and can discover environments for all training and validation data. Domain generalization algorithms built on top of XRM environments achieve oracle worst-group-accuracy, solving a long-standing problem in out-of-distribution generalization.
Utilizing Basic Education Data for the Appointment of Non-Permanent Teaches in West Sulawesi Province

Principal data education becomes the basis for temporary policy teacher appointments. Regarding the use of the main data system (DAPODIK) and its influence on local government policies in the education sector, the researchers had several important takeaways from this research, such as the use of the DAPODIK application system in schools in inputting educational data, which is still not optimal in its utilization. The research method used is qualitative with an inductive approach. There are a number of schools that use primary data education in the appointment of teachers, which is not permanent, but not effective. The main data on education is influenced by several factors; namely, teaching hours, subjects taught, and leadership policies. These factors are described in the research table of each district in West Sulawesi Province. The main data on education will affect school achievement because it requires the accuracy of the data on education, human resources, and policy evaluation.&#x0D; Keywords: basic education data, non-permanent teacher, policy, effectiveness
Utilizing Deep Learning Algorithm and Image Processing Techniques for the Localization and Quantitative Analysis of Infographics in Resumes

Abstract Infographics have proven to be more effective than traditional prose in conveying complex subjects. In recent years deep learning approaches have demonstrated their capability in an array of applications, including image identification, which encompasses pattern recognition and the application of artificial intelligence. A variety of infographics are employed in order to gauge skills in resumes. The aim of this study is to identify the existing infographics present in resume, locate the associated text pertaining to each infographic, and subsequently quantify each infographic with numerical values. For the purpose of detecting infographics, the You Only Look Once (YOLO) algorithm was utilized, while the Optical Character Recognition (OCR) was applied for detecting the associated text. The differentiation between the filled and empty sections of the infographic was accomplished through the implementation of image intensity histogram analysis, thresholding, and contouring.
Exploring Multiview Interactive Visualization for Chinese Historical Texts Using Knowledge Aggregation

Textual knowledge extraction and visual analysis technology bring new technical methodology to traditional qualitative research in the historical domain. However, there is still some difficulty impeding the semantic understanding and presentation for knowledge in historical texts. To address it, we propose a novel solution that integrates the semantic aggregation of different types of textual knowledge units in multiple technical pathways and hybrid strategies-based visual display for supporting smooth interactive functionalities with different groups of users. A visualization system is also developed, which can provide various digital tools to reveal the knowledge clues and patterns in both macro and micro level and support deep exploration of implicit knowledge around historical research. The user evaluation shows the effectiveness of our system and design solution. It is believed our preliminary research can promote knowledge organization and visualization of Chinese historical texts and a future extension to other domains.
Message from the General Chair JCDL 2023

Welcome to the land of enchantment, chiles, high elevations, and for 2023, digital libraries. I would like to personally express my pleasure to serve the ACM/IEEE-CS JCDL community as we join together to celebrate our research. While the waning COVID-19 pandemic allowed us the opportunity, particularly those around the world, to join together to remotely gather, we are pleased to offer an exciting program inperson in Santa Fe, New Mexico
Message from the Program Committee Chairs JCDL 2023

Welcome to the ACM/IEEE-CS Joint Conference on Digital Libraries! After a year overseas in Cologne, JCDL has returned for its 23rd iteration to the high elevations of Santa Fe, New Mexico, USA. As the oldest state capital, we invite the DL community to rethink digital records by exploring new perspectives, challenges, and opportunities for libraries, archives, museums, and galleries.
Redefining “No Evidence of a Breach” in Election Security

For legal purposes, we rightly understand the lack of evidence to mean a lack of existence. For example, many candidates in the 2022 elections baselessly claimed that the 2020 presidential election was stolen. But, absent evidence of systemic fraud, the law correctly determines that President Biden was duly elected. If the law entertained any outlandish assertion regardless of evidentiary support, accusers could peddle whatever claims they please, forcing the accused to disprove them. Similar to the legal understanding of “no evidence,” many appear to believe that no evidence of a security breach in our voting equipment indicates no breach. For example, in the run-up to the 2022 elections, Georgia’s Secretary of State Brad Raffensperger “spent months voicing skepticism that . . . a security breach ever occurred” in Coffee County’s voting machines, arguing that “[t]here’s no evidence of any of that” and therefore that “[i]t didn’t happen.” A lack of evidence is rightly equivalent to a lack of existence, for legal purposes. But, for security purposes, no evidence of a breach does not necessarily mean no breach because security breaches can occur without the target’s knowledge. Indeed, the more competent the infiltrators are, the more likely they are to commit breaches undetected. The Allies taught the world this lesson in World War II, when they infiltrated the encrypted communications of the Axis powers without being exposed. To this day, it remains an axiomatic rule of cyber security practice that one should never interpret the lack of evidence of a security breach to mean no breach. Shortly after Raffensperger claimed that a breach did not happen because there was no evidence, it was revealed that voting machines in Coffee County had been breached. This Article calls for a bifurcated understanding of “no evidence of a breach” in the context of elections. For election fraud claims, we should continue to take no evidence to mean no fraud. But for evaluating the security of our election infrastructure, officials and legal scholars must understand that a breach can still occur despite the lack of evidence of a breach. I argue that the widespread conflation of no evidence of a breach and no breach is a frequently overlooked obstacle to election security reform. If one interprets no evidence of a breach as no breach, both the public and the politicians who represent them can rationalize not spending money on updating voting equipment as long as there is no definitive evidence that it was breached. Persuading the public of the fact that security breaches can occur despite the lack of evidence, while also showing why no evidence must still be interpreted as no existence for legal purposes, is a critical challenge that scholars must meet in order to effect meaningful election security reform.
Data quality assurance in the research process using the example of tensile tests

Progressive digitization throughout the entire product data life cycle requires a more sensitive handling and understanding of data within engineering processes. Regarding engineering research data, the aim is to implement the FAIR data principles (Findable, Accessible, Interoperable, Reusable) to guarantee the post-usability of research data. To ensure the quality of data throughout the entire research process a methodical approach had been developed. Based on the quality categories Intrinsic, Representative, Contextual and Available, the related quality dimensions are considered differentiated along the research data life cycle and presented in a concept. As a use case, this concept is carried out on a tensile test with documentation of results in a research data management system.
Redesigning Research Guides

At the University of Memphis, a team of librarians and library staff formed the Research Guides Redesign Team (RGRT) to redesign, organize, and evaluate the University Libraries’ (UL) research guides. The purpose of the project was to ensure that the new design of the research guides homepage was intuitive to use. While it is impossible to ensure absolute usability for every user, this usability study attempts to eradicate the most common interface issues in community experiences at the University of Memphis. The RGRT conducted usability testing to evaluate the effectiveness of the new standardized format, grouped headings, and the appearance of the interface. The RGRT worked within the limitations of Springshare’s software to create the design and then chose five users to complete various task scenarios. Upon analysis of the users’ ability to complete the tasks, the RGRT discovered that overall, the design was effective, but they did make a few minor changes. This study describes the process and includes the original design, the new design, edits made after usability testing was conducted, and plans for future testing.
Seizure of digital footprints from the Internet and their use in evidence: criminal procedural aspects

Currently, the amount of information that Internet users post on it and exchange with each other is increasing. Under certain conditions, this information, can become forensically significant and can be used as evidence in the future. The issue of seizure and procedural recording of such information is not regulated by current legislation, which makes it difficult to use this information as evidence. The purpose of the study is to identify specific features of digital information, special aspects of the process of proof using digital information and digital footprints within the framework of the current criminal procedure legislation. The author considers the information obtained from social networks in the context of digital footprints and digital evidence in criminal procedure. The signs of digital (electronic) evidence have been systematized. The author carried out an analysis of the provisions of Art. 74 of the Criminal Procedure Code of the Russian Federation, as well as of modern scientific approaches to understanding the system and form of evidence in criminal procedure. Having studied law enforcement practice, the author concluded that the existing legal regulation of the use of digital (electronic) evidence in criminal procedure is not effective enough. The analysis of legislation and law enforcement practice regarding the use of digital footprints in evidence allowed formulating several proposals to improve the norms of criminal procedure legislation of the Russian Federation. In particular, the author proposed to enshrine the definition of digital document in the Criminal Procedure Code of the Russian Federation, expand the list of investigative actions, and specify a separate investigative action aimed at detecting digital footprints and recording digital information.
Portmanteaus of computer lexis

International Scientific Conference Philological sciences and translation studies: European potential : Conference Proceedings (September 6–7, 2023. Wloclawek, the Republic of Poland). Riga, Latvia : Baltija Publishing, 2023. 240 pages.
THE INVESTIGATION IS BEING CONDUCTED BY (NON-)PROFESSIONALS. EXAMPLES FOR CREATING ANXIETY AND FEAR IN A DETECTIVE SERIES

This paper briefly discusses the psychological and philosophical issue of anxiety and fear in a non-canonical piece of pop culture – detective series “Lucifer”. On the stated topic, this show attracts attention, firstly, because it contains the problematization of various spiritual experiences, and secondly, it raises deep questions related to the search for the meaning of existence and being in terms of rethinking biblical allusions and images. In addition, the series can be analyzed from the point of view of the “psychology of art” (Lev Vygotsky), both because of the feeling of catharsis caused and the “affects of expectation” (see Ernst Bloch), especially in the season 5. Therefore, in it is possible to study the manifestation forms of anxiety and fear. These direct and indirect signs of the expression of open and hidden human experiences are verbalized and visualized by cinema in various ways: words, gestures, actions, behavior of heroes, etc. The author of the paper refers to them not on the example of thrillers (anxiety) and horror films (fear), but a series consisting of many series, because this can reveal a longer anxiety state and show the difference between fear and anxiety at the levels of thematization and realization.
Aspects of professional culture development for future head of an educational organization

Introduction. The study of professional culture development for future head of an educational organization is relevant and associated with the need for an organization leader to act as a carrier of professional culture, who is willing and able to productively solve managerial professional tasks in accordance with the demands and challenges of the modern educational system. Theoretical analysis. The article views several aspects of the process of professional culture development of the future head of an educational organization from various positions, each of which focuses on its individual aspect and reveals its understanding. The problem under study has been modernized based on the analysis of studies devoted to professional culture and its formation, indicating that high level of its development in the leader acts as a guarantor of effectiveness of not only his/her own managerial activities, but also the activities and functioning of the entire educational organization. Within the framework of the study we searched for different aspects concerning understanding of the process of professional culture development in a future leader of an educational organization using the synergistic approach, interaction of general and professional cultures, presence of creativity in managerial activities, and formation of professional competence of an educational organization head. Conclusion. The development aspects described in the article are necessary for the head of an educational organization for effective formation of his/her professional culture.