Reviewerly/exHarmony huggingface dataset:
Nganasan language materials in space and time

The paper provides an overview of Nganasan fieldwork data and archive resources. This description focuses primarily on the textual and sound materials, but other aspects that contribute to the documentation of Nganasan are also touched on, whereas textbooks and dictionaries are not considered here. We give a detailed survey of the available published and unpublished material as well. We do not discuss in detail fieldwork materials only available in Russian, e.g. such as Dolgikh’s rich folklore collection. The paper is organized as follows. Section 2 gives some information on Nganasan and related languages. Section 3 addresses the early field notes, i.e. the resources before Castrén’s trip and his materials. Section 4 exemplifies the fieldwork activities of the 20th century. After that, in Section 5 we turn to the digitally available materials. The description is then rounded off in Section 6 with the description of the planned Nganasan database. The basic idea of the database is to collect and archive material from fieldwork.
THE SIGNIFICANCE OF DEVELOPING SPEECH COMPETENCE IN TEACHING LAW STUDENTS

The paper examines the importance of forming speech competence of law students in teaching English as a foreign language. Indeed, the formation of speech competence in the lessons of the English language is a continuous process, it involves the use of various methods and techniques that contribute to the development of the ability to speak correctly, fluently and dynamically both in dialogue and in the form of a monologue; have a good understanding of audible and read speech, including the ability to produce and understand speech in any style, that is, to use the accumulated language material for the purpose of communication. Speech competence is an integral part of foreign language communicative competence and involves the development of skills in four types of speech activity: productive (speaking and writing) and receptive (reading and listening). Considering this, in the article the author defines “competence” and “speech competence” by employing the opinions of various scholars. The methods used are descriptive, conceptual, statistical-compotent and comparative.
REALIZATION OF COPYRIGHT AND RELATED RIGHTS ON THE BASIS OF «EXTENDED COLLECTIVE MANAGEMENT»

The topic highlights the need and importance of a completely different type of collective management in new, high-tech fields, which applies not only to authors - members of the author’s society but also to all other authors, including unknown authors. It is this system of copyright and related rights that is sometimes referred to as “extended collective management”. Within the framework of the subject, it was studied in detail how right holders enter into agreements with persons using works (objects of copyright and related rights) on their own behalf on the basis of powers granted by collective management organizations, as well as collection, distribution and payment of royalties to right holders. Attention is paid to some urgent problems related to the improvement of this institution, international standards for copyright protection and comparative legal analysis of national legislation, as well as the opinions of scientists from Uzbekistan and other different countries. Suggestions and recommendations were put forward of scientific and practical importance for national copyright law. Also, based on the results of the analysis of the scientific views of scholars on intellectual property law, the definition of methods of implementation of copyright and related rights on the basis of “extended collective management” and its effectiveness, the effectiveness of these rights and “agency-type collective management” The special rules and principles of intellectual property law have been studied on a scientific basis.
A Real Time Mask Wearing Detection Based on Lightweight CenterNet in Complex Scenes

CenterNet is a one-stage target detector based on key points with high detection accuracy. However, its backbone is Hourglass network with a large number of parameters, the recognition speed is slow and cannot be recognized in real time. In this paper, we proposes a lightweight Hourglass network based on CenterNet model for mask wearing detection. Firstly, we adopts the depth wise separable convolution network in the reverse residual block of the Hourglass network. In the upsampling and downsampling block, different stride set and two branches are used to reduce the number of model parameters and improve the detection speed. Secondly, we redefine the focal loss function which can correlate the loss values of two Hourglass networks and complement each other to improve the accuracy of difficult targets in complex environments. Finally, in order to improve the test robustness of the method, we constructed a data set of masks under different challenge scenarios. The experimental results show that the average accuracy of our method is 0.922 and the parameters are reduced to 1/25 of CenterNet, and the detection speed is increased by nearly 3 times. Our method can achieve real-time mask wearing detection in videos with better robustness, which provides practicality for deploying the network model to mobile terminals.
Rancangan dan Implementasi Aplikasi Kepramukaan “Strong Scout” Berbasis Android

Scouting is one of the extracurricular activities that exist from elementary school, junior high school, high school, vocational high school, to college level. Scouts themselves are extras who have an active role in educating character, having a nationalist, leader, social and community spirit. There is some scouting material that is quite a lot for scout members to learn. Therefore, the Android-based “Strong Scout” scouting application is expected to increase interest and members of the scout extracurricular activities themselves in learning. This application is designed using the waterfall method. System design using erd, dfd and activity diagrams. The system uses a sqlite DBMS and is based on Android. This research resulted in an application that can be run according to the menu and its function, starting from the material, practice questions and the process. This android-based scouting application can make it easier for members in scouting activities and can increase the interest of students to take scout extracurricular activities.
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes

The early detection of anomalous events in time series data is essential in many domains of application. In this paper we deal with critical health events, which represent a significant cause of mortality in intensive care units of hospitals. The timely prediction of these events is crucial for mitigating their consequences and improving healthcare. One of the most common approaches to tackle early anomaly detection problems is standard classification methods. In this paper we propose a novel method that uses a layered learning architecture to address these tasks. One key contribution of our work is the idea of pre-conditional events, which denote arbitrary but computable relaxed versions of the event of interest. We leverage this idea to break the original problem into two hierarchical layers, which we hypothesize are easier to solve. The results suggest that the proposed approach leads to a better performance relative to state of the art approaches for critical health episode prediction.
Application of Quantum Computing in Power Systems

Due to continuous expansion, the current interconnected power system is the largest and most complex man-made dynamic system on the planet [...]
FEATURES OF PROFESSIONAL DEVELOPMENT OF TEACHING STAFF OF CIVIL PROTECTION AND LIFE SAFETY EDUCATIONAL AND METHODOLOGICAL CENTERS

The aim of the article is to study the specifics of teaching staff professional development of civil protection and life safety educational and methodological centers. Research methods used by the author: content analysis of legislative documents on the organization of postgraduate education; regulatory documents on professional development of civil protection specialists; analysis and summarization of documents posted on websites of Educational and Methodological Centers of Civil Protection and Life Safety in order to determine their structure and content of the activity and to highlight the features of the professional development of the teaching staff; comparative analysis of specialty standards 011 Educational, pedagogical sciences and the specialty 263 Civil protection for the second (master's degree) of higher education to identify the common and distinctive competencies of specialists. It has been found out that the problem of the teaching staff professional development of educational and methodological centers of civil protection and life safety demands a complex solution. Their professional development in the sphere of civil protection is carried out according to functional training programs once in five years on the basis of higher educational establishments and postgraduate education. At the same time, in advanced training on the specialty 011 Educational, pedagogical sciences they have the opportunity to freely choose institutions, forms and subject of professional development. However, selected topics of various forms of professional development rarely reflect the content of their specialty 263 Civil Protection and its transformation in accordance with the post-industrial development of the country and its modern economic and socio-political situation.
A Behavior-based Scheme to Block Privacy Leakage on Smartphone Sensors When You Exercise

Smartphone sensors are widely used in the development of fitness, running, workout, or health applications (apps).However, smartphone sensors may increase the risk of privacy leakage when they bring convenience to users.Traditional access control mechanisms, such as Android Permission, cannot prevent authorized malicious apps from abusing sensor resources.In this paper, a novel behavior-based sensor access control scheme is presented.This scheme can further regulate the behavior of an app after it is authorized, so that it can only access sensor resources with secure behavior patterns (SBPs), and sensor-based privacy leakage may thereby be blocked.On the basis of user interface (UI) operation tracking and tagging, this scheme implements the dynamic perception of app sensor access behaviors.With a temporal logic known as temporal logic of causal knowledge (TLCK), we developed a method to construct the secure sensor access behavior pattern.Every sensor may be given a SBP.By comparing the dynamic sensor access behavior of an app with SBP, we can determine if the sensor access is secure.Moreover, by supervising the call stack of the app's sensor access application programming interface (API), we may timely block a sensor access when it is not secure.In this report, we also describe the implementation of a prototype defense system to analyze the effectiveness and efficiency of the scheme.The experimental results show that this scheme can effectively block the abnormal sensor access of an app with a performance overhead of about 10%.
The Development of E-Comic Learning Media for Elementary School Mathematics Learning

This research aims to produce a mathematics learning media in e-comics for one year of learning in grade 2 elementary school. This research refers to the 4-D Development Model consisting of 4 steps, namely: (1) define, (2) design, (3) develop, and (4) disseminate. The validation test results from 2 material experts showed an average percentage of 94% and 97%, while the validation test of 2 media experts showed an average percentage of 97% and 92%. Based on these data, the E-Comic Learning Media is decent to use.
Pembelajaran Keaksaraan Awal Anak Usia 5–6 Tahun Melalui Pengembangan Media PAK TUA (Papan Kartu Membaca Awal)

The purpose of this study was to determine the development of PAK TUA Media(Preliminary Reading Card Board) for early literacy learning for children aged 5-6years. This research refers to the type of development research. The developmentprocedure used refers to Borg and Gall's research and development procedures. Inthis study, simplification was carried out into 4 (four) stages (potential and problems,data collection, product design and product validation). The research instrument usedis an assessment questionnaire that will be filled out by material experts and mediaexperts. The data analysis uses the Aiken formula to determine the feasibility andattractiveness of the developed product in the form of PAK TUA Media. This studyconcludes that PAK TUA media is suitable for use as a medium for early literacylearning for children aged 5-6 years
Speech Corpora Divergence Based Unsupervised Data Selection for ASR

Selecting application scenarios matching data is important for the automatic speech recognition (ASR) training, but it is difficult to measure the matching degree of the training corpus. This study proposes a unsupervised target-aware data selection method based on speech corpora divergence (SCD), which can measure the similarity between two speech corpora. We first use the self-supervised Hubert model to discretize the speech corpora into label sequence and calculate the N-gram probability distribution. Then we calculate the Kullback-Leibler divergence between the N-grams as the SCD. Finally, we can choose the subset which has minimum SCD to the target corpus for annotation and training. Compared to previous data selection method, the SCD data selection method can focus on more acoustic details and guarantee the diversity of the selected set. We evaluate our method on different accents from Common Voice. Experiments show that the proposed SCD data selection can realize 14.8% relative improvements to the random selection, comparable or even superior to the result of supervised selection.
QUALITY CONTROL TOOLS VISUALIZATION IN THE PDCA CYCLE BY MEANS OF INFORMATION AND COMMUNICATION TECHNOLOGIES

The relevance of developing software tools based on traditional quality control methods for analyzing and visualizing the statistical information during the implementation of the PDCA cycle was shown. Guidelines for the use of statistical quality control tools contained in ISO international standards was presented. The quality control tools were analyzed in terms of the obtained statistical results features and the needs for their visual interpretation. The advantages and disadvantages of Сomputer algebra system (CAS) Maple, Matlab, MathCad, Mathematica are given in terms of the availability of random data processing and qualitative statistical results visualization. Based on the analysis of statistical data obtained by quality control tools, it has been proved that it is possible to most effectively solve the task using CAS Maple and the LaTeX publishing system combination. At every stage of the PDCA cycle the software modules for seven basic quality tools were realized using the CAS Maple and the LaTeX publishing system. The computational experiment results were presented. The parameters for the computational experiment results visualization of the using the LaTeX publishing system for their presentation as a single document in the cross-platform PDF format have been determined. A complex model for processing and visualizing statistical information in the PDCA cycle using the CAS Maple and LaTeX system has been developed. The model takes into account the peculiarities of input statistical information and visual interpretation of each basic quality tool. The model allows getting a single file in PDF format at the output. This PDF file contains a complex analysis of the technological process quality in a form that is simple for visual perception. Using the comparative analysis method, an expert map was compiled, that analyzed the advantages and disadvantages of each quality control tool. General recommendations were given on the use of the developed modules during the realization of the PDCA cycle in practice in the process of quality control in production and in the educational process of the engineering students.
HTTPA/2: A Trusted End-to-End Protocol for Web Services

With the advent of cloud computing and the Internet, the commercialized website becomes capable of providing more web services, such as software as a service (SaaS) or function as a service (FaaS), for great user experiences. Undoubtedly, web services have been thriving in popularity that will continue growing to serve modern human life. As expected, there came the ineluctable need for preserving privacy, enhancing security, and building trust. However, HTTPS alone cannot provide a remote attestation for building trust with web services, which remains lacking in trust. At the same time, cloud computing is actively adopting the use of TEEs and will demand a web-based protocol for remote attestation with ease of use. Here, we propose HTTPA/2 as an upgraded version of HTTP-Attestable (HTTPA) by augmenting existing HTTP to enable end-to-end trusted communication between endpoints at layer 7 (L7). HTTPA/2 allows for L7 message protection without relying on TLS. In practice, HTTPA/2 is designed to be compatible with the in-network processing of the modern cloud infrastructure, including L7 gateway, L7 load balancer, caching, etc. We envision that HTTPA/2 will further enable trustworthy web services and trustworthy AI applications in the future, accelerating the transformation of the web-based digital world to be more trustworthy.
Inquisitive Modal Logic: A Preview

Abstract Throughout this book, we have emphasized different ways in which questions are relevant in logic. We saw that questions can be seen as names for types of information, and that by generalizing logic to questions we can capture logical relations holding between information types. We also saw that in the inquisitive setting, a more general account of certain logical operators emerges, which boils down to the classical one in the special case of statements, but which also covers the role of these operators in questions. Furthermore, we saw that questions may be used in inferences as placeholders for arbitrary information of a certain type, and that by reasoning with questions we can build formal proofs of the existence of certain logical dependencies (and of certain logical relations of answerhood and presupposition).
Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding

Self-supervised speech representation learning (SSL) has shown to be effective in various downstream tasks, but SSL models are usually large and slow. Model compression techniques such as pruning aim to reduce the model size and computation without degradation in accuracy. Prior studies focus on the pruning of Transformers; however, speech models not only utilize a stack of Transformer blocks, but also combine a frontend network based on multiple convolutional layers for low-level feature representation learning. This frontend has a small size but a heavy computational cost. In this work, we propose three task-specific structured pruning methods to deal with such heterogeneous networks. Experiments on LibriSpeech and SLURP show that the proposed method is more accurate than the original wav2vec2-base with 10% to 30% less computation, and is able to reduce the computation by 40% to 50% without any degradation.
Balanced Training for Sparse GANs

Over the past few years, there has been growing interest in developing larger and deeper neural networks, including deep generative models like generative adversarial networks (GANs). However, GANs typically come with high computational complexity, leading researchers to explore methods for reducing the training and inference costs. One such approach gaining popularity in supervised learning is dynamic sparse training (DST), which maintains good performance while enjoying excellent training efficiency. Despite its potential benefits, applying DST to GANs presents challenges due to the adversarial nature of the training process. In this paper, we propose a novel metric called the balance ratio (BR) to study the balance between the sparse generator and discriminator. We also introduce a new method called balanced dynamic sparse training (ADAPT), which seeks to control the BR during GAN training to achieve a good trade-off between performance and computational cost. Our proposed method shows promising results on multiple datasets, demonstrating its effectiveness.
Global Context-Aware Person Image Generation

We propose a data-driven approach for context-aware person image generation. Specifically, we attempt to generate a person image such that the synthesized instance can blend into a complex scene. In our method, the position, scale, and appearance of the generated person are semantically conditioned on the existing persons in the scene. The proposed technique is divided into three sequential steps. At first, we employ a Pix2PixHD model to infer a coarse semantic mask that represents the new person's spatial location, scale, and potential pose. Next, we use a data-centric approach to select the closest representation from a precomputed cluster of fine semantic masks. Finally, we adopt a multi-scale, attention-guided architecture to transfer the appearance attributes from an exemplar image. The proposed strategy enables us to synthesize semantically coherent realistic persons that can blend into an existing scene without altering the global context. We conclude our findings with relevant qualitative and quantitative evaluations.
CRIMINAL ACTION DATA INFORMATION SYSTEM AT THE POLICE OFFICE

The Indonesian National Police (POLRI) is a law enforcement security apparatus always ready to serve all people who need help and protection from all crimes. The Abung Semuli sector, located on Jalan Semuli Raya, Abung Semuli District, North Lampung Regency, Indonesia, serves people who need assistance. Criminal data processing in the Abung Semuli sector has not yet used computer technology as a tool. It is still recorded in the crime data book in processing criminal and civil data. Still stored in a form that makes it difficult to find data and make reports on criminal data. The proposed criminal data information system functions to report the list of members, list of articles, and reports of criminal acts. In the process of searching for data and reports, it can produce accurate information
DEVELOPMENT OF A NEW STUDENT ADMISSION SERVICE INFORMATION SYSTEM

Dharma Wacana is the first tertiary institution in computer science in the Metro Indonesia area. The registration system is done by coming directly to the campus and has not used the website media. In development, research is carried out using the Waterfall model by building a system. Besides that, data collection is carried out using the method of observation and literature study. The implementation of the Waterfall model is explained using mapping diagrams, context diagrams, DFD, database table structures, relations between tables, and input-output design. This website-based information system aims to improve services to the public in the form of information and new student registration that can access online. And it is hoped that it will enhance Campus management to take advantage of this online registration data as a basis for Promotion