Reviewerly/exHarmony huggingface dataset:
THE EFFECTIVENESS OF TONGUE TWISTERS STRATEGY TO INCRAESE THE STUDENTS’ SPEAKING ABILITY

Tongue twisters have been explored by some researchers to increase the students’ speaking ability. The researcher has an opportunity to research significant effectiveness difference between tongue twisters strategy and direct interaction strategy to increase students’ speaking accuracy (pronunciation) and fluency (content). A quasi-experimental design is employed with two classes of the eight graders of SMP Muhammadiyah 12 Perumnas Makassar selected purposively as the sample. The data is obtained through a pre-test and a post-test. The findings are analyzed using statistically using independent t-test procedure. Based on the post-test calculation the value of t-test is higher than the value of t-table, 2,04 &amp;lt; 3,03. According to the result, the alternative hypothesis is not rejected. It can be concluded that there is a significant effectiveness difference between students' ability to speak English who are taught by using tongue twisters strategy and those who are guided by using direct interaction strategy on post-test of speaking accuracy and fluency. Tongue twisters strategy is more effective in increasing the students’ speaking ability on speaking accuracy and fluency than direct interaction strategy. Based on students’ speaking products, it can be show that students understand the role of speaking. The students’ speech sound is more natural.
Educational component "Family reading" as a factor in the formation of literary and communicative competence of applicants for higher education

The article reveals the problem of acquainting applicants for higher education with the educational component of free choice «Family Reading», the purpose of which is to form an understanding of the process of family reading as part of humanities education; to give an idea of the main trends in the development of literature for children and youth at the present stage, its genre-style, thematic diversity; regularities of the theory and methods of literary education of the child as a component of the general development of the personality. The text of the article reflects the principles of organization, methods and model of family reading, stated in the educational component and indicates the thematic scope of the course. In particular, it is noted that it has a number of features related to the atmosphere and the supply of material in the process of reading in the family: 1. Family reading is based on the practice of «reading aloud», as opposed to «reading to yourself». In addition, there are other forms of acquaintance with the literary treasury: watching movies or animations based on works of art, staging, dramatization, etc. 2. Family reading involves joint (but not collective) action, where the mandatory component is the «voice of the child», felt at the stage of selection of the text, its reading and discussion, as well as at the stage of using the acquired information after reading. 3. Family reading, in contrast to other types of educational reading, simultaneously implements almost all the important functions (cognitive, educational, developmental, entertaining, communicative). Thus, the educational component «Family Reading» considers the possible prospects of stabilization of applicants for higher education interest in reading as a guarantee of the formation of further reading development. The competency approach, stated as the main formant of the component, is designed to become a solid foundation for professional development and further growth of the applicant for higher education, as the ability to interpret, analyze the text and methodically present it is the basis of professional success.
Analisa Metode MGR Untuk Mendeteksi Keaslian Citra Digital

Digital image processing is an important part that underlies various real applications, such as pattern recognition, remote sensing via satellite or aircraft, and machine vision. In pattern recognition, digital image processing plays a role in separating objects from the background automatically. Almost all applications of information technology use cryptography as a tool to ensure the security and confidentiality of data or information. Because of this, cryptography has become a rapidly growing science and in a short time many new algorithms have emerged which are considered superior to their predecessor algorithms. To see the authenticity of digital images we use the MGR algorithm. MGR hash function based on its design security. Protected against multicollision attacks, fixed point attacks, extension attack lengths and herd attacks and provides better efficiency (three times faster) than GOST-R. AES such as block ciphers have been used in compression design. The MGR function due to AES is one of the most efficient and cipher-secure blocks and has been evaluated for more than 12 years
A SERVER-SIDE RENDERING METHOD FOR HANDLING LARGE-VOLUME 3D MODELS OF ENVIRONMENTAL DESIGN IN WEB-BASED AUGMENTED REALITY

Large-volume 3DCG models used in environmental design are difficult to handle on mobile devices because they consume much computational resource and storage. In this study, a server-side rendering method is proposed to realize a mobile web-based augmented reality (Web AR) system for environmental design visualization by handling the rendering result of 3-dimensional models as video streaming. Through the experiments with a developed prototype system, the proposed method achieved a higher frame rate than conventional stand-alone Web AR for a large number of polygons. Both the frame rate and the latency were almost constant regardless of the number of polygons.
Comparative Study of Software Technologies for Learning Science in Colleges of Education- Ghana

Technology has now become integral part of our classrooms worldwide as one of the major means of delivering content to students. This study was to compare the use of some technology software for teaching and learning of science in the Colleges of Education in Ghana. It was conducted in six (6) Colleges of Education in the Central-Western zone. Questionnaire was used to collect data from the college students. The questionnaire consisted of seven (7) types of technology software which comprised of web-based software and non web-based software. Respondents responded according to their degree of acceptance of the use of each software for teaching and learning of science concepts. The findings were analysed using descriptive statistics. One hundred and twenty (120) teacher trainees were used for the study. The study showed that Social Media Platforms, E-mail, Google Classroom and WebQuest technology software were scarcely used for teaching and learning of science in the Colleges of Education in Ghana. It was however, indicated that Microsoft Excel, Microsoft Word and PowerPoint software were used often for teaching and learning of science.
Generative Planning for Temporally Coordinated Exploration in  Reinforcement Learning

Standard model-free reinforcement learning algorithms optimize a policy that generates the action to be taken in the current time step in order to maximize expected future return. While flexible, it faces difficulties arising from the inefficient exploration due to its single step nature. In this work, we present Generative Planning method (GPM), which can generate actions not only for the current step, but also for a number of future steps (thus termed as generative planning). This brings several benefits to GPM. Firstly, since GPM is trained by maximizing value, the plans generated from it can be regarded as intentional action sequences for reaching high value regions. GPM can therefore leverage its generated multi-step plans for temporally coordinated exploration towards high value regions, which is potentially more effective than a sequence of actions generated by perturbing each action at single step level, whose consistent movement decays exponentially with the number of exploration steps. Secondly, starting from a crude initial plan generator, GPM can refine it to be adaptive to the task, which, in return, benefits future explorations. This is potentially more effective than commonly used action-repeat strategy, which is non-adaptive in its form of plans. Additionally, since the multi-step plan can be interpreted as the intent of the agent from now to a span of time period into the future, it offers a more informative and intuitive signal for interpretation. Experiments are conducted on several benchmark environments and the results demonstrated its effectiveness compared with several baseline methods.
Correcting diacritics and typos with ByT5 transformer model

Due to the fast pace of life and online communications, the prevalence of English and the QWERTY keyboard, people tend to forgo using diacritics, make typographical errors (typos) when typing. Restoring diacritics and correcting spelling is important for proper language use and disambiguation of texts for both humans and downstream algorithms. However, both of these problems are typically addressed separately, i.e., state-of-the-art diacritics restoration methods do not tolerate other typos. In this work, we tackle both problems at once by employing newly-developed ByT5 byte-level transformer models. Our simultaneous diacritics restoration and typos correction approach demonstrates near state-of-the-art performance in 13 languages, reaching >96% of the alpha-word accuracy. We also perform diacritics restoration alone on 12 benchmark datasets with the additional one for the Lithuanian language. The experimental investigation proves that our approach is able to achieve comparable results (>98%) to previously reported despite being trained on fewer data. Our approach is also able to restore diacritics in words not seen during training with >76% accuracy. We also show the accuracies to further improve with longer training. All this shows a great real-world application potential of our suggested methods to more data, languages, and error classes.
Application of Artificial Neural Network for Forecasting Demand Bottled Drinking Water by Using Back propagation Algorithm

The erratic demand for bottled drinking water (BDW) products caused the sales target not to be achieved for several periods.One of the efforts that can be made by the management so that the amount of production is correct is by forecasting demand.This study aims to determine the best forecasting model using the Artificial Neural Network (ANN) method with the Backpropagation algorithm, supervised learning.The activation function used is the binary sigmoid function (logsig).Based on the result, the best architectural model is found in neurons 3-4-1 with an MSE value of 0.0002 and a MAPE value of 2.346%.
DEMONSTRATION EXAM AS AN INNOVATIVE FORM OF STUDENT PROGRESS MONITORING

The article considers the importance of introducing a demonstration exam in accordance with WorldSkills standards as well as the issues of organizing and conducting a demonstration exam in educational institutions of the Republic of Kazakhstan
Regularized Optimal Transport Based on an Adaptive Adjustment Method for Selecting the Scaling Parameters of Unscented Kalman Filters

In this paper, an adaptation method for adjusting the scaling parameters of an unscented Kalman filter (UKF) is proposed to improve the estimation performance of the filter in dynamic conditions. The proposed adaptation method is based on a sequential algorithm that selects the scaling parameter using the user-defined distribution of discrete sets to more effectively deal with the changing measurement distribution over time and avoid the additional process for training a filter model. The adaptation method employs regularized optimal transport (ROT), which compensates for the error of the predicted measurement with the current measurement values to select the proper scaling parameter. In addition, the Sinkhorn-Knopp algorithm is used to minimize the cost function of ROT due to its fast convergence rate, and the convergence of the proposed ROT-based adaptive adjustment method is also analyzed. According to the analysis results of Monte Carlo simulations, it is confirmed that the proposed algorithm shows better performance than the conventional algorithms in terms of the scaling parameter selection in the UKF.
Spaces for People: Technology, improvisation and social interaction in the music of Pauline Oliveros

The composer Pauline Oliveros emphasised that her music was a by-product of a larger humanistic project aimed at raising awareness and sensitivity through social interaction and community-building. In this article, I highlight the role of technology in facilitating social interaction in improvisatory contexts by considering three examples that span Oliveros’s career: the composition In Memoriam: Nikola Tesla, Cosmic Engineer ; her telematic performances; and the Adaptive Use Musical Instrument (AUMI) project. In each of these examples, technological mediation transforms musical and social interaction in unpredictable ways, presenting obstacles that require participants to work cooperatively to resolve them. This intensification of Oliveros’s larger project is considered through several complementary theoretical frameworks, including Don Ihde’s theory of technological mediation, Daniel Belgrad’s concept of deutero-learning in improvisation and Georgina Born’s orders of social mediation in music. By deploying technology in visible – rather than invisible – ways, and by inviting participants to adapt to and even embrace unexpected elements that might otherwise be regarded as limitations, Oliveros’s work reveals how technology can simultaneously be understood as an affordance for music-making and an extension of a deeply social and community-oriented endeavour.
Journal Articles That Get Auto-Added to CrimRxiv

Information on whether journals are diamond OA, gold OA, or hybrid OA, and, if the last of those, whether they have zero embargo, a partial embargo, or total embargo. The journals' OA versions of record are auto-added to CrimRxiv.
Convolutional Neural Network Approach for Mobile Banking Fraudulent Transaction to Detect Financial Frauds

In the real world, the identification of financial fraud in compliance with IoT criteria is highly effective since financial fraud causes financial damage. Several forms of financial fraud are likely, but unauthorized usage of mobile payment by credit card no. or certificate no.is the most common scenario. Detection of financial crime is a growing environment in which the victims will keep ahead. However, intelligent fraud detection facets remain scientifically unsupported. Deep learning (DL)arises from the idea of a multi-type representation of the human brain that incorporates basic characteristics at the low level or high-level abstractions.Financial fraud was a big issue as forgers discovered new methods of stealing currency. Therefore, adaptive methods of identification of fraud against forgers are required. Thanks to their versatile nature to detect emergent financial transaction fraud, deep learning approaches were enticing candidates. In this article, we suggest an in-depth learning approach for adapting financial fraud through the use of convolution neural networks (CNN). With the fraudulent transactions dataset, we tested our model experimentally. The results of the analysis show which our methods detect transactional fraud appropriately.
The Application of Woven Motifs in Ceramic Art Works for the Development of a Teapot Set

This article explores the development and creation of the artwork of a set of ceramic teapots, the design of this teapot takes or applies the idea of woven craft motifs that are used as decorations or decorations. The analytical approach used is qualitative, through observation, contemplative, empirical approach, literature study of data sources collected. The results showed that the development of this ceramic work of art, in the process of forming it using several techniques, namely turning, massaging, cukil, scraping, twisting, and plate, from the use of several forming techniques above, several techniques were combined into one teapot by combining one technique to another. The combination of these techniques is an expression of expression in exploring forms that consider the functional, ergonomic, aesthetic, and artistic sides.
PECULIARITIES OF PATRIOTIC EDUCATION BASED ON VISUAL LEARNING METHODS IN EDUCATIONAL ORGANIZATIONS OF DEONTOLOGICAL TYPE

The article examines the etymology of such concepts as “patriotism”, “learning methods”, “principle of visualization” in the works of domestic and foreign scientists. The empirical research, aimed at studying the features of patriotic education based on visual learning methods in educational organizations of deontological type, is described in detail. The comparative analysis of the results is carried out and conclusions are drawn. The article describes the development and the areas of application of “The Calendar of Memorable Dates in Russia in the 2020/2021 Academic Year” for organizing moral and psychological training for students at Ural Law Institute of the Ministry of Internal Affairs of Russia in the 2020/2021 academic year.
An Entropy-View Secure Multi-Party Computation Protocol Based on Semi-honest Model

Abstract Secure multi-party computation(SMPC) is an important research area in cryptography with many application scenarios, but there are still many problems to be solved. Aiming at security and fairness issues in SMPC, we consider that semi-honest participants are able to execute the protocol according to the specification, but there would be some additional malicious operations such as collusion and refuse to exchange information in the process of information interaction, which leads to deviations in the security and fairness of the protocol. To solve the above problems, we combine information entropy and mutual information to propose an n-round information exchange protocol, in which each participant broadcasts a relevant information value in each round without revealing additional information. The uncertainty of the correct result value is fuzzed by the interactive information in each round, and each participant cannot determine the correct result value until the end of the protocol, which effectively prevents malicious behavior and ensures the correct execution of the protocol. Security analysis and fairness analysis show that under the semi-honest model, our protocol guarantees the security and relative fairness of the output obtained by the participants after completing the protocol.
Phenomenology of the professional crisis of the teacher during the online learning

The study considers the phenomenology of the professional crisis of the teacher personality in the context of the transition to online learning. Based on the analysis of the results of the theoretical and empirical research involving 170 teachers, it was established that the features of the professional crisis of the teacher personality are the transformation of the value-semantic sphere of the personality and the actualization of reflexive and anticipation processes. The results of the empirical research allowed for the first time to reveal the features of the professional crisis of the teacher in the context of the transition. The experimental group had the life efficiency indicator on the level 47.92 out of 100 points, while the control group – 69.59 points, which is not a much higher indicator. The results can become an empirical basis for the development of programs of psychological and pedagogical support for teachers experiencing professional crisis situations when implementing online learning programs.&#x0D; &#x0D; Keywords: biographical reflection, content analysis, online learning, professional crisis, teacher personality
Epistemic and Mediational Suitability of Tasks Designed in a Mobile Learning Context

The aim of this research is to propose indicators of epistemic and mediational suitability to assess tasks designed in a mobile learning context, using theoretical and methodological elements of the onto-semiotic approach (OSA) and the SAMR model (substitution, augmentation, modification, and redefinition). With these indicators, 110 tasks designed by two Mexican teachers are evaluated, for the teaching of the natural number in primary education. Some results indicate that the situation-problems addressed the meanings of numerical sequence, operational, ordinal, and measure, and that 56% of the tasks were located at the substitution level. Some implications derived from the research are that the mathematical content can be complemented by including other representations of the natural number and that the design of tasks that are positioned at the modification and redefinition levels should be encouraged. The foregoing serves as a basis for the design and assessment of mobile content for the natural number concept.
PENERAPAN POWERPOINT INTERAKTIF DALAM MENGEMBANGKAN KOSAKATA BAHASA INGGRIS ANAK (PENELITIAN DESKRIPTIF TERHADAP ANAK USIA 5-6 TAHUN DI RA BANY RADHIYYA BANJARAN KABUPATEN BANDUNG TAHUN AJARAN 2021-2022)

This study aims to describe deeply about the implementation of powerpoint in developing English vocabulary which was conducted in early childhood education. One of the characteristics of early childhood is ‘hands on experience’ learner, so interactive powerpoint can adjust to this characteristic. This study uses Thematic analysis in which refers to the research questions that become basic themes to analyze. The data collection tools are observation (field note and interview guide), interview and documentation. The findings show that the implementation of powerpoint was conducted in accordance with daily implementation plan or RPP that applied in RA Bany Radhiyya. Moreover, the vocabulary given is being associated with thematic theme: 'my home' theme with sub submues: ‘Part of House' and ‘Kitchen Utensils". Supporting factors that are encountered from this study are children’s interest to know English vocabulary through the use of interactive powerpoint, good social interaction, and family’s background that support children's education. While inhibitors are in the lack of adequate learning and mother tongue. Keywords; PowerPoint, English Vocabulary, Early Childhood
Evaluating learning strategies in high school students

This study aims to address the assessment of learning strategies, as they are considered to be particularly important in the educational process. The principle of the theory that supports the substance of our work is that the educator and the educated are agents who become effective only in conditions of individual and bilateral co-balancing, in a common pedagogical field, determined by a number of variables specific to school space and time. The quality of the didactic act is measured by the efficiency of the training of students' personality competencies, context in which the combination of classical, traditional and modern strategies, according to the principle of complementarity, is a requirement and at the same time an essential condition of teaching and learning. Educational disciplines acquire educational strength through the action of teachers who use methodological and psychopedagogical knowledge operationalized in specific ways and techniques of action as a defining element of professional competence, methodical training makes it possible to transform general principles into teaching strategies, design realization and evaluation techniques.