Reviewerly/exHarmony huggingface dataset:
Implementasi Gerakan Literasi Sekolah (GLS) pada Keterampilan Membaca Siswa Kelas III SDN 1 Jatigunung

This study aims to (1) describe the implementation of the school literacy movement at SDN 1 Jatigunung for the 2019/2020 academic year, (2) determine students' reading skills through the implementation of the school literacy movement at SDN 1 Jatigunung for the 2019/2020 academic year, ( 3) find out the obstacles and solutions in the implementation of the school literacy movement. This research applied qualitative descriptive method. The subjects of this study were 1 school principal, 1 teacher, 33 students, and 2 parents of SDN 1 Jatigunung students. Student and parent subjects were selected by purposive sampling. Data collection techniques include documentation and observation of GLS implementation, and interviews. The results obtained in this study are: 1) The implementation of the school literacy movement at SDN 1 Jatigunung was good. The teacher has implemented 3 stages, namely: habituation, development, and learning; 2) students' reading skills, especially in grade III 70%, were fluent in reading. Through the school literacy movement, teachers have invited their students to always get used to reading. And for students who still have difficulty in reading, the teacher makes slow reading service program; 3) An obstacle in the implementation of the school literacy movement is the lack of supply of book collections in the library so that schools are trying to use BOS to help increase the collection of library books.
Penggunaan Media Google Classroom dan Kendalanya pada Pembelajaran Daring di Sekolah Dasar

Media plays a role in supporting the learning process, one of which is by utilizing technology as a tool in delivering learning materials. Thus, this study aims to describe how the use of Google Classroom media during online learning, obstacles, and teacher efforts in overcoming the obstacles. The qualitative descriptive research method was chosen. Teachers and students of class V SD Negeri 1 Punung as research subjects. Observation, interview and documentation techniques were used to collect data, then triangulation and data analysis were carried out. The research results obtained, namely: Google Classroom media is used by teachers to deliver material in the form of videos and files. The assignment is carried out as a learning evaluation. The obstacle is from the side of teachers and students, namely the readiness of teachers and students in carrying out online learning in order to maximize and adapt in using the features available in Google Classroom. The teacher's effort to overcome these obstacles is by sending assignment files via WhatsApp. Teachers are advised to use other media combinations that make the class more varied and interesting.
The Influence of Social-Emotional Intelligence on Attitude Towards Mathematics Instruction

The purpose of this quantitative non-experimental descriptive-correlational study was to determine the significant influence of social-emotional intelligence to attitude towards Mathematics instruction both in individual and aggregate capacity. Researcher-made questionnaires on these two variables which were validated by the experts and were subjected to pilot testing for reliability test, and after, were conducted among Grade 12 students in a certain public school in Davao del Norte considering stratified random sample of 300 students. Data analysis tools used were weighted mean, pearson-r, and regression analysis to test the hypotheses. The results showed that three indicators of social-emotional intelligence, to enumerate, self-management and motivation, social awareness and prosocial behavior, and decision-making, are all in low level while self-awareness in moderate level. Moreover, all the indicators of attitude towards Mathematics instruction which are confidence in Mathematics, importance of Mathematics, and engagement in Mathematics are all in low level. Further, it was found out that there was no significant relationship between social-emotional intelligence and attitude towards Mathematics instruction. With regression analysis, there was no domain in social-emotional intelligence that significantly influence attitude towards Mathematics instruction. Thus, it is recommended that social-emotional intelligence and attitude towards Mathematics instruction must be improved.
THE EFFECT OF PERSONALIZED BACKGROUND MUSIC ON THE STUDENTS' NEUROCOGNITIVE IN READING COMPREHENSION

This study aimed to improving students' reading comprehension skills by measuring and knowing the achievement of the students neurocognitive in reading comprehension through personalized background music. This research utilized a pre-experimental research method with a quantitative approach which involved all of the second grade students at SMPN 2 Aralle as the sample of this research. This research instrument is a reading text containing 10 number of essay test. The research result shows an improvement on the students’ neurocognitive in reading comprehension after doing the treatment with personalized background music in learning process. It proved the post-test mean score was more significant than the pre-test (72.22%&gt;53.89%). The result of the research was effective in improving students reading comprehension.
Machine Translation and Cultural Literacy

The development and availability of technologies today led to a lot of changes specifically in special computer programs for translation. It is impossible and counterproductive to completely ban machine translation, but it is possible to teach students a critical approach to translation and show how neural networks can enable the development of human competencies. Despite the usefulness of computer technology in solving human problems, artificial intelligence does not replace human intelligence, including emotional intelligence. In addition, the constant appeal to the device at the early stages of training slows down the skill development and creates a feeling of helplessness. One of the topical issues is mastering a special cultural code and the cultural literacy necessary to decipher it. As part of second language classes with students, it is necessary to work on the ability to read meanings and see a wide context, enriching the picture of students' understanding of cultural meanings encoded in the language, deepening the sense of language and honing translation skills.
The Concept of Big Data and Solutions of Cloud Computing

The terms "big data" and "cloud computing" are often used interchangeably since many public cloud services analyze large amounts of data. Every day, a massive amount of data is produced from abundant of derivation, and this data needs to be evaluated, categorized, and stored with the assistance of cloud computing. The quick progress that has taken place in a variety of IT fields is to blame for this massive increase in the amount of data that is being produced. Conventional data processing methods are unable to handle this data due to its extremely large amount, the rapidity with which it changes, and the multitude of formats in which it is stored. Cloud computing makes available on-demand computing resources and services, making it possible to handle and analyze the vast amounts of data in a manner that is both effective and simplified. This research will discuss how on the general concept of big data and how Cloud computing provides solutions to big data by processing analyzing this huge data. We will start by Introduction of Big data, big data Impact on Today’s world, big data architecture, cloud computing, Categories &amp; offerings of Cloud computing then further discuss the solutions offered by cloud computing to big data and limitations of big data on the cloud.
Support

Support is who customers reach out to when they have problems. Customers rarely interact with developers, executives, accounting, or other teams in a company—and so they end up with this perception of the organization that is often based mostly on their interactions with our support team. And yet, the support team often ends up feeling like the pack mules of the adventuring party rather than the tanks that allow for forging into new territory. This is in part because we think of software developers as wizards and sellers get rewarded with large commissions as we expand. It’s also in part because in many organizations support is an entry point into the company and there’s a perception that we can always hire new people to support the product.
KEY ADVANTAGES AND PROSPECTS OF DIGITAL EDUCATION IN MODERN CONDITIONS

The article is a general overview of modern technological trends in education in the context of digitalization. The goals and objectives, advantages and trends in the development of digital education are considered. The article discusses innovations that have already been introduced and are being introduced into the education system on the eve of Industry 5.0. The main goal is to determine the socio-cultural impact of rapid digitalization in the field of education.
Relevancy of Summons and Warrants in Criminal Justice System

A condition precedent to a trial is securing the attendance of the accused, witnesses or other relevant persons before the court and also the production of the documents necessary for the investigation, inquiry or trial. The general rule in criminal trial is that the court should not proceed ex parte against the accused person. It is also one of the foremost requirements of fair trial principle that the trial must proceed in the presence of the accused. The presence of accused during trial is not a mere formality, but it gives an opportunity to the accused to understand the prosecution case, witnesses and evidence against him. This gives him a fair chance to prepare his defense. While taking measures for ensuring presence of the accused during trial, his personal liberty should not be lost sight of. The detention of the accused prior to trial will also cause unnecessary obstruction in the preparation of his defense. Therefore, if his presence can be reasonably ensured, he should not be deprived of his liberty.
Scientific research work of teachers in higher education institutions of the USSR during the years of the Khrushñhov “Thaw” (on the example of Vinnytsky and Kamianets-Podilskyi pedagogical institutes)

The purpose of the article is to analyze the main areas of research work of tea chers of Vinnytsia and Kamianets-Podilskyi Pedagogical Institutes during the years of Khrushchov’s “thaw” on the basis of archival sources and periodical press materials. Th e methodological basis of the research is the principles of historicism, systematicity and comprehensiveness, problem- chronological and diachronic methods. Th e scientifi c novelty of the article is determined by the comprehensive analysis of the subject of scientifi c research works of the teachers at the above- mentioned pedagogical institutes, their preparation of dissertation studies, scientifi c works, and participation in conferences. Conclusions. Research work was an important activity area of the Vinnytsia and Kamianets-Podilskyi Pedagogical Institutes. Th e primary responsibility for its implementation rested with the teaching corporation, which in its research paid the main atten- tion to pedagogical issues aimed at improving educational and methodological work in higher education institutions and schools. An important area of the pedagogical universities’ activity was the preparation of doctoral and candidate dissertations by teachers. In order to activate the process, the institution’s management used diff erent ways (targeted and one-year postgraduate studies, creative vacations, reduction of the academic load, etc.). However, a number of scientists were unable to defend their works, primarily due to the lack of a mechanism for coordinating scientifi c research. Teachers prepared monographic studies, textbooks, and manuals, articles, some of which appeared in prestigious scientifi c journals. However, the total number of works of higher education teachers was insignifi cant (an average of 45 works were issued per institute each year). Most of them were published in collections of scientifi c works of pedagogical insti- tutes (“Scientifi c notes”). Report scientifi c conferences (sessions) of teachers were held annually.
Client Selection and Resource Allocation for Federated Learning in Digital-Twin-Enabled Industrial Internet of Things

The technological advancements in digital twins (DTs) and next-generation networks boost the development of the Industrial Internet of Things (IIoT). However, the increasing concern for data privacy hinders the further development of IIoT. By manipulating its own dataset and training machine learning models locally, federated learning (FL) has been regarded as a promising technology to establish DT models for IIoT. Nevertheless, the vast amount of model parameters, limited computation and communication resources, and the dynamic industrial environments pose great challenges for FL. In this paper, we present a novel FL framework integrating with DTs in the resource-constrained and dynamic IIoT environment. The clustering algorithm is exploited to design an efficient client selection approach. Furthermore, we propose an efficient model aggregation approach to improve the training efficiency. A resource allocation problem is then formulated and solved based on deep reinforcement learning. Numerical results show that the proposed client selection and resource allocation approach reduces the time cost compared with the baseline schemes.
ACAGNN: Source Code Representation Based on Fine-Grained Multi-view Program Features

Existing program comprehension models represent a single code feature and coarse code granularity. They tend to consider the shal- low features of source code (e.g., method names, characters, etc.) and ignore the structured features of source code such as Abstract Syntax Tree (AST), Control Flow Graph (CFG), and Application Programming Interface Dependency Graph (ADG), resulting in an incomplete representation of the source code. Although there are approaches to model ASTs, ASTs are efficient in representing code structure information. They have shortcomings in capturing the calling relationships of methods in the code for the entire class library, which does not allow the model to represent the global program accurately. To address these issues, we propose a multi-view source code representation model called ACAGNN, which uses a designed matching mechanism to learn multi-view code structure representation at the node-level and apply it to downstream code classification tasks.
PERSONALIZED USER FEATURE SIMILARITY SUPPORTED COLLABORATIVE FILTERING AND WEB USAGE MINING FOR PAGE RECOMMENDATION

The rapid growth of the web has run to a considerable increase in information dissemination. Freshly, Research on hybrid personalized recommendation systems mainly addresses two problems: prediction and completion of sparse data, and the user s personalized recommendation. To address the issue of high data sparsity and low recommendation accuracy in the traditional service recommendation models, this study presents a hybrid personalized collaborative filtering model for page recommendation based on collaborative filtering by introducing user preferences. The example verified that the hybrid personalized recommendation system based model can effectively reduce the data sparsity and increase the accuracy of the prediction.In this work, the efficacy of collaborative filtering and web usage for recommender system is investigated and proposed. The experimental results demonstrate that the proposed WUM improves the performance of the recommendations.
Implementation and Analysis of Double Linked List Sorting

This paper works on sorting the given set of elements effectively in both Sort ascending and Sort descending order. There are numerous methods algorithms for sorting a given group of random integers wherein each of these algorithms take unique time to execute the sorting operation. Basic idea of time complexity was highly considered during the design of this algorithm and we make use of doubly linked list in achieving this.
Study of Clustering Methods in Data Mining

A study will be made on the various clustering methods. Method of grouping set of physical or abstract objects into classes of similar objects is called as clustering. Splitting a data set into groups such that the similarity within a group is larger than among groups are done by clustering algorithm. This paper discusses about few types of clustering methods- Partitioning methods, Hierarchical methods, Density-based methods, Grid-based method, Model based methods, Constraint based methods.
A Model for the Assessment of Management Competencies of Masters in Management

The article presents the authors’ model for the assessment of management competencies (MC) of masters in management, based on expert evaluation of the MC level by 28 criteria, broken into three groups of management functions: effectiveness of management decisions, organization and monitoring of work, and motivation and development of personnel. Six MC levels are set depending on the intensity of manifestation of each group of management functions: strong, medium, and weak. A binary matrix is constructed for each level by the method of paired comparisons. The distances between the measured MC level of a master in management and the benchmark matrices are proposed to be calculated as the Hamming metric, because it allows to employ Boolean values and accounts for the sequence of the measurements. &#x0D; The model application is demonstrated by field experiments with master students of the specialty “Management” in the second academic year. To confirm the adequacy of the model and results of its testing, the consistency of expert opinions is estimated by the concordance factor; the statistical significance of the latter is confirmed by use of Pearson statistics; the input data for an assumed student with a high level of MC formation are simulated, with demonstrating through calculations that the minimal distance will be the one between the matrix of this student’s data and the benchmark matrix for the high MC level. &#x0D; The calculations were made using MathCad software. The consistency of expert opinions was evaluated by use of Statistica software package. &#x0D; The proposed model can be applied to assess any kind of competencies, for students of various specialties. It will require only changed assessment criteria.
Stabilization and Dissipative Information Transfer of a Superconducting Kerr-Cat Qubit

Today, the competition to build a quantum computer continues, and the number of qubits in hardware is increasing rapidly. However, the quantum noise that comes with this process reduces the performance of algorithmic applications, so alternative ways in quantum computer architecture and implementation of algorithms are discussed on the one hand. One of these alternative ways is the hybridization of the circuit-based quantum computing model with the dissipative-based computing model. Here, the goal is to apply the part of the algorithm that provides the quantum advantage with the quantum circuit model, and the remaining part with the dissipative model, which is less affected by noise. This scheme is of importance to quantum machine learning algorithms that involve highly repetitive processes and are thus susceptible to noise. In this study, we examine dissipative information transfer to a qubit model called Cat-Qubit. This model is especially important for the dissipative-based version of the binary quantum classification, which is the basic processing unit of quantum machine learning algorithms. On the other hand, Cat-Qubit architecture, which has the potential to easily implement activation-like functions in artificial neural networks due to its rich physics, also offers an alternative hardware opportunity for quantum artificial neural networks. Numerical calculations exhibit successful transfer of quantum information from reservoir qubits by a repeated-interactions-based dissipative scheme.
Mechanistic Analysis of the Organic Chemistry of Flavonoids in Square Bamboo Leaves Based on Cloud Computing Data Processing

In order to be able to better process the relevant experimental data in the organic chemistry study of Flavonoid of Fangzhu leaf, the article applies cloud computing to it, and improves the load factor by applying IWRR load balancing algorithm, selecting CPU processing power, network bandwidth and memory capacity as load factors. The extraction and antioxidant activity of each other’s bamboo leaf flavonoids were studied by ultrasound-assisted ethanol extraction, the best extraction process parameters were found by response surface optimization experiments, and the effects were compared by four extraction methods. The results showed that compared with other extraction methods, the extraction rate of ultrasound-assisted ethanol extraction was the largest, with an average extraction rate of 4.07%, and the antioxidant capacity of the obtained flavonoids was the strongest. 1:25 g/mL material-to-liquid ratio, 80% ethanol concentration, 80 W ultrasonic power, 100 min ultrasonic time and 55.0 °C ultrasonic temperature were the best flavonoid extraction process parameters. And compared with the WRR algorithm and WLC algorithm, the IWRR algorithm has significantly shorter response time, higher throughput and more actual concurrency, i.e., the IWRR algorithm can significantly improve the system loading efficiency. The method used in the article is helpful for the extraction of flavonoids from square bamboo leaves and the processing of related experimental data.
Analysis and Outlook of Blockchain Technology Application in China Internet Finance

In July 2020 the People's Bank of China officially issued the Notice on Promoting the Standardized Application of Blockchain Technology, which is a redefinition of blockchain + Internet finance.As China is a policy-oriented country, with the policy tilt, the concept of integrating Internet finance with blockchain has become a hot topic in these years.Many challenges and opportunities arise in the process of blockchain gradually penetrating into Internet finance.In order to promote the mixture of blockchain and Internet finance and to elaborate the current situation of the integration of Internet finance and blockchain in China, this paper introduces the theories related to blockchain and Internet finance.A SWOT analysis is made This paper also proposes some optimization suggestions, such as the strategies of chain-bank parallelism, Financial data fusion deposition, intelligent risk control, and expanding the layout of financial settlement field.Meanwhile, this paper hopes to provide some useful inspirations and references for this new hybrid model.
HŌʻIHI NATIVE Act Grant Program for Native Hawaiian Organizations (DOI)

Federal Grants & ContractsVolume 47, Issue 12 p. 4-5 Grants Alerts HŌʻIHI NATIVE Act Grant Program for Native Hawaiian Organizations (DOI) First published: 14 May 2023 https://doi.org/10.1002/fgc.33033Read 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 No abstract is available for this article. Volume47, Issue1218 May 2023Pages 4-5 RelatedInformation