Reviewerly/exHarmony huggingface dataset:
SOVIET CHILDREN’S LITERARY AND ART MAGAZINES: ON THE ISSUE OF SPIRITUAL AND MORAL PATRIOTIC DEVELOPMENT OF YOUNG READERS

The article analyzes children’s literary and art magazines published in Soviet times («Murzilka», «Funny Pictures», «Bonfire»), in which much attention was paid to the spiritual, moral, aesthetic, patriotic education of young readers.
Reviews and Prospects of Foreign Researches on Second Language Sentence Processing

Foreign studies; Second language sentence processing; Reviews; Prospects
An Application of Analytic Wavelet Transform and Convolutional Neural Network for Radar Intrapulse Modulation Recognition

This article analyses the possibility of using the Analytic Wavelet Transform (AWT) and the Convolutional Neural Network (CNN) for the purpose of recognizing the intrapulse modulation of radar signals. Firstly, the possibilities of using AWT by the algorithms of automatic signal recognition are discussed. Then, the research focuses on the influence of the parameters of the generalized Morse wavelet on the classification accuracy. The paper’s novelty is also related to the use of the generalized Morse wavelet (GMW) as a superfamily of analytical wavelets with a Convolutional Neural Network (CNN) as classifier applied for intrapulse recognition purposes. GWT is used to obtain time–frequency images (TFI), and SqueezeNet was chosen as the CNN classifier. The article takes into account selected types of intrapulse modulation, namely linear frequency modulation (LFM) and the following types of phase-coded waveform (PCW): Frank, Barker, P1, P2, and Px. The authors also consider the possibility of using other time–frequency transformations such as Short-Time Fourier Transform(STFT) or Wigner–Ville Distribution (WVD). Finally, authors present the results of the simulation tests carried out in the Matlab environment, taking into account the signal-to-noise ratio (SNR) in the range from −6 to 0 dB.
PENGARUH INDEPENDENSI, PENGALAMAN KERJA DAN PROFESIONALISME BADAN PENGAWAS TERHADAP EFEKTIVITAS SISTEM PENGENDALIAN INTERNAL PADA LPD KECAMATAN GIANYAR

The aim of this research is to get empirical evidence about the effect of independence, work experience and professionalism of the internal controllers on the effectiveness of the internal control system LPD in Gianyar district. The sample in this study was 16 LPDs in Gianyar with 48 respondents. The sampling method uses the census method, so that the number of samples is equal to the population, which is 48 regulatory people. The research data was collected using a questionnaire. Data were analyzed with Descriptive Statistical Analysis, Validity Test, Classic Assumption Test Reliability Test, F Test, T Test, and Multiple Linear Regression Analysis. The results of this study indicated that the independence variable (X1) had no effect on the effectiveness of the internal control system, the work experience variable (X2) had a positive and significant effect on the effectiveness of the internal control system, and the professionalism variable (X3) had no effect on the effectiveness of the internal control system.
Brachistochrone Curve Representation via Transition Curve

The brachistochrone curve is an optimal curve that allows the fastest descent path of an object to slide frictionlessly under the influence of a uniform gravitational field.In this paper, the Brachistochrone curve will be reconstructed using two different basis functions, namely Bézier curve and trigonometric Bézier curve with shape parameters.The Brachistochrone curve between two points will be approximated via a C-shape transition curve.The travel time and curvature will be evaluated and compared for each curve.This research revealed that the trigonometric Bézier curve provides the closest approximation of Brachistochrone curve in terms of travel time estimation, and shape parameters in trigonometric Bézier curve provide better shape adjustability than Bézier curve.
Cyber Security Awareness for Education Institutions

Cybersecurity is a critical issue for higher education institutions, as they store and manage a vast amount of sensitive data, including student records, research findings, and financial information.Higher education institutions are also increasingly reliant on technology for teaching, learning, and administration, which means that they are vulnerable to cyber threats such as hacking, phishing, and ransomware attacks.One of the key challenges in protecting higher education institutions from cyber threats is the fact that they often have complex and decentralized networks.This can make it difficult to implement and enforce consistent security measures across the entire organization.Additionally, higher education institutions often have many stakeholders, including students, faculty, staff, and external partners, which requires efforts to coordinate and manage information security.
The application of English smart Classroom model under the background of big data

As an important embodiment of the integrated development of classroom teaching and modern technology, smart classroom is one of the current research topics of education informatization. According to the accumulated experience of college English smart classroom teaching in recent years, taking English classroom teaching theory as basic guidance and integrating advanced technology theories such as big data, cloud computing and mobile Internet to build and promote dynamic smart classroom before, during and after class can better meet the needs of English education innovation and development and cultivate all-round English talents. On the basis of understanding the current situation of the research and application of smart English classroom under the background of big data, this paper designs the structure according to the smart teaching model of college English, and defines the application effect of the smart English classroom model, so as to accelerate the pace of innovation and development of college English education in the new era.
Status of Dance-related Curriculums for University Acting Courses and their Implications

This study analyzed the present status of dance-related curriculums for acting courses offered by Korean universities and colleges with intent to identify the characteristics of those curriculums and provide implications thereof. Specifically, focused on the dance-related curriculums for 108 courses provided by 92 universities and colleges listed in the ‘2023 Entry to Theatre and Film Studies Guide(Jong-Yeul Lee, 2022),’ this study analyzed the number of courses offered, the number of units offered, the semesters in which such units were offered, the titles of such units, and the credit points assigned to such units. Based on the analysis, first, 86 acting courses provided dance-related curriculums (79.6%), and a majority of such courses spanned 4 years. Second, mostly dance-related units were offered in 4 semesters, and all types of the educational institutions selected here offered dance-related units nearly every semester. In total, 4-year universities offered 120 units, while 2~3-year colleges offered 42 units. Third, mostly, the titles of dance-related units involved body, dance, choreography and movement. Body- and dance-related titles of units outnumbered other types of titles at 4-year universities and 2~3-year colleges, respectively. As for the credit points assigned to dance-related units, 2 credit points showed the highest distribution. In conclusion, dance-related units accounted for high percentages in the curriculums for tertiary acting courses and their titles varied across semesters. These findings indicate dance-related units are used as a way of helping acting majors understand the movement of human body, and imply that scholarly and practical efforts need to be made to facilitate the systematic development of dance-related curriculums for acting courses by exploring the concept of physical training for actors and delivering the educational value of dance.
Conclusion

In the first part of this book, you discovered how containers work and how to run an Oracle database in Docker. You learned methods for persisting vital database content—the datafiles and configuration—outside the confines of the container. You’re also fluent in container networking concepts and can connect client applications running on a host, like SQL Developer, to databases in containers. You can also leverage container networks to communicate among databases running containers.
Aliases and Functions

Aliases and functions simplify and accelerate command-line tasks. By adding them to your shell login profile, they're loaded into your environment every time you log in. The following are some I've adopted over the years to make working with Docker faster and easier.
Occlusion Handler Density Networks for 3D Multimodal Joint Location of Hand Pose Hypothesis

Predicting the pose parameters during the hand pose estimation (HPE) process is an ill-posed challenge. This is due to severe self-occluded joints of the hand. The existing approaches for predicting pose parameters of the hand, utilize a single-value mapping of an input image to generate final pose output. This way makes it difficult to handle occlusion especially when it comes from the multimodal pose hypothesis. This paper introduces an effective method of handling multimodal joint occlusion using the negative log-likelihood of a multimodal mixture-of-Gaussians through a hybrid hierarchical mixture density network (HHMDN). The proposed approach generates multiple feasible hypotheses of 3D poses with visibility, unimodal and multimodal distribution units to locate joint visibility. The visible features are extracted and fed into the Convolutional Neural Networks (CNN) layer of the HHMDN for feature learning. Finally, the effectiveness of the proposed method is proved on ICVL, NYU, and BigHand public hand pose datasets. The imperative results show that the proposed method in this paper is effective as it achieves a visibility error of 30.3mm, which is less error compared to many state-of-the-art approaches that use different distributions of visible and occluded joints.
Reference service user’ satisfaction at the Animal Husbandry Faculty Library, Universitas Padjadjaran

Reference services satisfaction assessment in libraries are one of the factors that determine the satisfaction of library users. Therefore, periodic improvement and development of reference services is required. This study was aimed to determine the extent of user satisfaction with reference services that have been implemented in the Library of the Faculty of Animal Husbandry, Universitas Padjadjaran. This study employed a quantitative descriptive approach based on survey to 132 respondents representing each academic year. The survey data were analyzed descriptively and presented in graphs. The questions in the survey cover four topics, namely the ease of borrowing and returning procedures, staff performance, reference information access, and library facilities. The results showed that respondents answered satisfied with a consistent level across the topics measured above. Even so, improvements are needed, especially in the aspect of library facilities, which are marked by responses with low scores. Service improvement in these four aspects can generally be focused on changing the paradigm from "library-centered" to "user-centered" by accommodating the expectations and desires of most users. In addition, after conducting training on access to reference collections, respondents answered that the training was considered very useful and was expected to be carried out periodically. In conclusion, users are satisfied with the reference service at the Faculty of Animal Husbandry Library, Universitas Padjadjaran. In addition, the training program on access to library collections has been successfully implemented and felt very useful by respondents and can be categorized as a service improvement activity.
Natural language generation from Universal Dependencies using data augmentation and pre-trained language models

Natural language generation (NLG) has focused on data-to-text tasks with different structured inputs in recent years. The generated text should contain given information, be grammatically correct, and meet other criteria. We propose in this research an approach that combines solid pre-trained language models with input data augmentation. The studied data in this work are Universal Dependencies (UDs) which is developed as a framework for consistent annotation of grammar (parts of speech, morphological features and syntactic dependencies) for cross-lingual learning. We study the English UD structures, which are modified into two groups. In the first group, the modification phase is to remove the order information of each word and lemmatise the tokens. In the second group, the modification phase is to remove the functional words and surface-oriented morphological details. With both groups of modified structures, we apply the same approach to explore how pre-trained sequence-to-sequence models text-to-text transfer transformer (T5) and BART perform on the training data. We augment the training data by creating several permutations for each input structure. The result shows that our approach can generate good quality English text with the exciting idea of studying strategies to represent UD inputs.
Stability thresholds of attractors of the Hopfield network

Purpose of the work is the detailed study of the attractors of the Hopfield network and their basins of attraction depending on the parameters of the system, the size of the network and the number of stored images. To characterize the basins of attraction we used the method of the so-called stability threshold, i.e., the minimum distance from an attractor to the boundary of its basin of attraction. For useful attractors, this value corresponds to the minimum distortion of the stored image, after which the system is unable to recognize it. In the result of the study it is shown that the dependence of the average stability threshold of useful attractors on the number of stored images can be nonmonotonic, due to which the stability of the network can improve when new images are memorized. An analysis of the stability thresholds allowed to estimate the maximum number of images that the network can store without fatal errors in their recognition. In this case, the stability threshold of useful attractors turns out to be close to the minimum possible value, that is, to unity. To conclude, calculation of the stability thresholds provides important information about the attraction basins of the network attractors.
The Effect of The Think Pair Share (TPS) Learning Model and Learning Motivation of PPKn Class VII SMPS Jerisa Mandiri

The aim of this study was to determine whether there was an influence of the TPS learning model and learning motivation on PPKn learning outcomes for class VII SMPS Jerisa Mandiri.This study uses a quasi-experimental research method.The research sample was class VIIA with 24 students in the experimental class and class VIIB with 22 students in the control class.Data collection techniques are learning motivation questionnaires and learning achievement tests.The results of this study: (1) there is an influence on student learning outcomes taught by the TPS learning model.( 2) there is a significant influence between student learning outcomes with high learning motivation.(3) there is an interaction between the TPS learning model and students' learning motivation in improving students' Civics learning outcomes.
PENGARUH MEDIA KAMUS DIGITAL TERHADAP HASIL BELAJAR BAHASA INDONESIA SISWA KELAS IV SD

The purpose of this study was to find out whether there was a significant difference between the learning outcomes of fourth grade Indonesian elementary school students who used digital teaching materials (digital dictionary) and those who used traditional teaching materials. The method used is an experimental strategy using a post-test only control group design. This research tool uses a test and non-test methodology. To test the data, descriptive and inferential statistics were used. The results showed that the t count exceeds the t table by 6.168 based on the results of the t test analysis. This shows that there is a significant difference between the learning outcomes of Indonesians who use digital teaching materials (such as digital dictionaries) and Indonesians who use traditional teaching materials.
Graduate Students’ Attitudes to the Development of Digital Opportunities at the Level of Individuals and Educational Organisations

The digital transformation of education requires the development of both individual digital capabilities, in particular, researchers, and the digital capabilities of higher education institutions.The article presents the design and results of a study of Ph.D. students' attitudes from Borys Grinchenko Kyiv University (Ukraine), University of Silesia (Poland), and Extremadura University (Spain) to digital opportunities at the individual level and the level of educational organisations.Following the self-assessment of postgraduate students, which was based on the relevant models and descriptors of the Jisc digital capabilities structure, the main factors influencing the development of the researcher's digital capabilities were determined.The major factor was the degree of influence of the organisational digital maturity of the universities where young researchers are trained.It was determined that graduate students, regardless of affiliation, the factors which have the greatest influence on the
The Impact of AI Chatbot On Customer Willingness to Pay: An Empirical Investigation in The Hospitality Industry

AI Chatbot is increasingly well-defined subject of research in different contexts, but the implementation of AI Chatbot in the service sector is still in the early stages of development. As the impact of AI Chatbot on customer behaviors in this field is unclear, this study proposes a framework examining the impact of AI Chatbot on customer actual behavior. This study uses customer data to test the impact of three chatbot dimensions (Anonymity, urgent response, and convenience) on interaction and customer willingness to pay for hotel services (WTP). Correlation analysis and structural equation modeling (SEM) were employed to examine the causal relationships. The results show that three AI Chatbot dimensions have a significantly positive impact on interaction quality. Urgent response is found to be the highest influence on both interaction and WTP. Meanwhile, anonymity and convenience were revealed to have indirect effects on WTP through interaction. This paper also contributes several implications for firms in hospitality industry in Vietnam.
Raster objects

At the end of this chapter, you will be able to: Understand what a raster object is; Load and use raster objects; Combine raster objects with shapefiles; Manipulate and cut out raster objects; Use the raster objects in such a way as to demand less computational time for the execution of tasks; View raster objects in R language.
Exploring Photographic Writing about Korean Mothers’ Educational Strategies

Photography has been continuously attempted as a research tool in social science research. Photo-based qualitative research continues to this day while branching out into various methods such as the visual methodology (Rose, 2016), photovoice (Wang, 1999), and photo essay (Quinn et al., 2006). The purpose of this study is to present a case of reconstructing the research results presented in the existing text as photo-based qualitative research. The subject of the study is 'A Qualitative Case Study on the Educational Practice of Mothers for Their Children's Academic Success: Korean Bear Moms,' a study by Kyung-ri Kim, Young Chun Kim, and Jae-seong Jo (2022). The four significant subjects presented as the study's main results were converted into visual data, including photos, to reconstruct the existing results differently.&#x0D; The research methodology was participatory observation and in-depth interviews using photographs. The research participants were parents who actively supported their children's academic achievement. Data were analyzed using a comprehensive data analysis procedure among about 100 photos taken in 2022. One or two photos most suitable for the four areas of the research topic were presented. First, the participants turned their homes into places suitable for their children’s study. Second, parents become learning experts to teach their children effective learning methods. Third, parents make an intensive financial investment in children’s shadow education. Fourth, mothers use the coffee gathering to collect useful information for their children’s academic success. This study exemplifies how photography transcends the limits of text, delivering intuitive and implicit messages, including the symbolic expression of the inner feelings of the participants, which might not have been revealed in the written text.
Earthquake Early Warning in Central America: The Societal Perspective

Central America is prone to a variety of natural disasters, out of all earthquakes have registered the highest death tolls. The vulnerability of the building stock and the steady population growth are responsible for the elevated seismic risk in the region. Earthquake Early Warning (EEW) aims to provide warning in advance of imminent shaking, allowing recipients to take action and improve their chances of surviving damaging shaking. The Swiss Seismological Service (SED) has been collaborating with national seismic agencies to develop national EEW systems across Central America which can potentially benefit nearly 47 million inhabitants. We conducted a survey to explore the public attitude towards EEW, preferences for EEW system attributes, and learn what protective actions are being taken. We collected a representative sample from Nicaragua (N=513), Costa Rica (N=1350), Guatemala (N=559), and El Salvador (N=491). We find that in previous earthquakes, respondents already take recommended protective actions rather than freezing - this is in contrast to other international studies - the good behaviour can be expected to increase when EEW is available. In all four countries, participants showed more tolerance to false alerts, consider EEW necessary, and are likely to react even with short lead times. The desirable alert threshold ranged between MMI III to IV. Our survey is unique in providing insight in the social dimension of EEW systems in a low-income region with high earthquake risk. Further, findings from this survey allow us to tailor the technical settings of EEW systems to the public need.