Reviewerly/exHarmony huggingface dataset:
Surface Structure Taxonomy on Journal Texts: The Case of Filipino ESL Learners

Errors in the subject-verb agreement are the most common problems among elementary learners in an English as Second Language (ESL) class. Thus, this study aimed to investigate the types of errors committed by the twelve (12) Grade 6 pupils in Hadiyyah International School, Marawi City, Philippines, and the most prevalent errors of the participants. The study employed a descriptive research design that explored the subject-verb agreement errors in the participants’ two-month written journal. Using Dulay, Burt, and Krashen’s Surface Strategy Taxonomy, these errors were categorized as Omission, Addition, Misordering, and Misformation. Findings show that 198 errors were found and that four types of errors were identified: Omission (12.5%), Addition (11.5%), Misordering (3%), and Misformation (73%). The study reveals that the most prevalent error committed by the participants is misformation. Moreover, the researcher discovered simpler sub-types of these errors. This study concludes that it is possible for the learners to commit multiple errors in a sentence, as reflected in the current study. These results suggest a call for language teachers to systematically diagnose their learners and revisit their teaching approach that corresponds to the learner’s needs. Effective methods in teaching grammar, especially at the elementary level, should be practised by language teachers to prevent fossilization and the difficulty of un-learning the learner’s prior wrong perception of the grammatical rules.
KEPRAKTISAN PENGEMBANGAN MEDIA PEMBELAJARAN SCRAPBOOK PADA MATERI LINGKARAN KELAS VIII SMPN 4 KOTA SOLOK

This research is development research (Design Research) using 3 stages of Plomp Models. The purpose of this research is limited only to seeing the practicality of developing Scrapbook media on the VIII grade circle material. The instruments used in this study were the teacher response questionnaire and the student response questionnaire. The valid scrapbook media was tested to see its practicality. The trial was conducted in 3 meetings. At the end of the trial, educators and students filled out a response questionnaire. The results of the analysis show that practicality by educators has an average value of 88.89% with very practical criteria and practicality by students has an average value of 87% with very practical criteria. The conclusion in this study is that Scrapbook media has been produced on the material for class VIII SMP Negeri 4 Solok City which is very practical.
Technopreneurship Mobile Application (TMA): A Support Mechanism for Flexible Learning Delivery System

Mobile phones are essential in our daily lives because of their benefits in communication, entertainment, and education. Students use their mobile phones in teaching-learning engagement, both synchronous and asynchronous. The study focused on developing and validating Technopreneurship Mobile Application (TMA) in its functionality, reliability, usability, efficiency, and User interface/user experience. The study engaged with developmental research using the mobile app development cycle, including requirement specification, development modeling, design and development, testing, and deployment. Online data gathering and analysis were used for mobile application validation, evaluation performance, and mobile deployment. A total of 95 information technology students evaluated the application. The results showed that the application is functional, reliable, usable, efficient, and the user interface is helpful. The overall results obtained a 4.20 with an excellent evaluation that shows that developing a mobile application can be a great tool in the flexible learning delivery for students due to its accessibility and usefulness.
Robust Forecasting of Sequences with Periodically Stationary Long Memory Multiplicative Seasonal Increments Observed with Noise and Cointegrated Sequences

The problem of optimal estimation of linear functionals constructed from unobserved values of stochastic sequence with periodically stationary increments based on observations of the sequence with a periodically stationary noise is considered. For sequences with known spectral densities, we obtain formulas for calculating values of the mean square errors and the spectral characteristics of the optimal estimates of the functionals. Formulas that determine the least favorable spectral densities and minimax (robust) spectral characteristics of the optimal linear estimates of functionals are proposed in the case where spectral densities of the sequence are not exactly known while some sets of admissible spectral densities are given.
Psychological factors in the formation of professionalism of principals of general secondary education institutions

The article deals with the structure of professionalism of principals of general secondary education institutions, which contains the cognitive component of professionalism of management activity (system of knowledge about the essence, structure of management activity of the principal); motivational and value component (principal's motivation to professional activity, positive attitude and desire to develop their professionalism in management, high level of readiness for management, interest in it, professional values, vocation to management activity,); operational and technological component (a set of skills, abilities, methods of action, techniques, technologies to ensure the development of professionalism).The psychological factors of formation of professionalism of principals of general secondary education institutions are described.The dependence of the formation of professionalism of principals on their gender, age and work experience is revealed.Male principals pay more attention to non-standard ways of solving problems, are guided in decision-making by logic rather than feelings, prefer intrinsic motivation, acutely experience periods of meaningless existence.Women principals use their intuition more often than men, they are more communicative, have deeper emotional experiences, more often smooth out conflict situations, prefer external motivation.With aging, the importance of such values as the social authority and recognition, the possibility of self-development, selfimprovement, the creative nature of management increases.The instrumental value of executive discipline, responsibility, intransigence to one's own shortcomings and the shortcomings of subordinates also increases, the values of self-control and the availability of free time decrease.Principals with 11 to 15 years of experience have the greatest hope for success, and those with more than 21 years of experience have the least hope.Limitations of principals of different genders, ages and length of service in management positions, which hinder the development of their professionalism, are also described.
Development of a Conceptual Model for Intelligent Software System Designing

This article provides information on the design of intelligent software systems. An intelligent software system refers to any software using artificial intelligence to analyze and interpret data or to communicate with systems and people. The article substantiates the relevance of the issue and highlights existing problems. The following factors are taken into consideration when assessing the problems of intelligent software system designing: easy data collection, low cost of developing intelligent systems, availability of experts and necessary resources (computers, program developers, software, etc.). The article also reports of related studies and identifies application areas. A conceptual model is developed for the design of intelligent software systems. The stages, components, directions, etc. indicated in the conceptual model for the design of intelligent software systems are studied and the characteristics of each are determined. Some examples of design types by the fields of activity are identified. The developed model can be used in the design of intelligent software systems related to any instrumental programming.
Impulse Noise Suppression in Color Images Using Median Filter and Deep Learning

Abstract: Refining the quality of a noisy image is essential for many image applications. Various median filter variants have been introduced to suppress various noises, but they have their own limitations when detecting noise and restoring noise-free images. Denoising convolutional neural networks (DnCNNs), primarily developed for Gaussian noise removal, are influential nonlinear mapping models in image processing. After alterations in training data, they can be used to suppress other noise with outstanding results. This article suggests a frequency median filter method combined with deep learning for color images polluted by Salt and Pepper (SnP) noise. The analysis presented in this paper has primarily used a frequency median filter to suppress impulse noise wherein the restored value for the center pixel is evaluated by the frequency median rather than the traditional median. After which, the pretrained denoising convolutional neural network is hired to suppress the remaining noise and attain the output image finally. With a visual comparative study, simulation results on the taken test images show that the proposed method surpasses de-noising methods in terms of PSNR, SSIM, NMSE, Entropy, IEF, NCC, PCC and Running Time.
English Teaching Innovation and Cooperation Platform Assisted by Mobile Computing

Aiming at the problems existing in English teaching, based on mobile computing technology, this paper establishes energy consumption optimization model, delay optimization model, and user mobility model and discusses the design and application of English innovation and cooperation platform in detail. Then, it analyzes the application of the three models in English teaching in primary schools, middle schools, and universities. The results show that the innovative cooperation platform of English teaching based on mobile computing can greatly improve the efficiency of English teaching, reduce the burden of teachers, and increase the English learning enthusiasm of students in different grades. In general, this paper provides some experimental support for the design and application of mobile computing in English teaching innovation platform.
Turning Mobile Learning into Opportunities for Teachers and Students

There is no doubt that mobile learning will form learning technology deserts in every country in the world. Looking back at the past long stretches of multifaceted learning, we can see how growing evidence and mobile experiences are guiding the blueprint for other leading learning technologies, bringing learning to individuals and communities—communities that were previously too remote or too expensive. . to equal or improve, advance and test the origins of learning itself. This was done in an unmistakably global environment, with the aim of progressively gaining notoriety and recognition worldwide. However, it was not entirely innocuous as a vehicle of clear intentions. This article examines the past decade and then envisions a future in which thinking in terms of learning technology becomes increasingly dangerous as technology, especially general-purpose technology, becomes an inescapable, ubiquitous, ubiquitous feature. and defining that is underestimated and not worth it. to focus on it. Technology and wearable technology have already entered the world in many ways, both incrementally and indiscriminately, but the world is rapidly evolving into one that would be incomprehensible without technology, particularly wearable technology. The increasing availability of low-cost remote and portable devices and associated infrastructure presents both opportunities and challenges for students, faculty, and foundations. With the survey "What is feasible in mobile learning?" This article attempts to contribute to the discussion. Also, ask yourself, “Why is it important to track these potential outcomes? As the deadline for developing overarching principles and realistic dreams for mobile learning approaches, a key issue is identified that goes beyond explicit statements and branded technologies to examine global patterns. future efforts and thoughts in the field of information technology.
Two-mode squeezed state generation using the Bohm potential

We show that two-mode squeezed vacuum-like states may be engineered in the Bohm–Madelung formalism by adequately choosing the phase of the wave function. The difference between our wave function and the one of the squeezed vacuum states is given precisely by the phase we selected. We would like to stress that the engineering of two-mode vacuum states is possible due to the existence of the Bohm potential, and it is relevant because of its potential use in the propagation of optical fields, where it may render a variety of applications in optics. The approach to generate non-classical states, namely, two-mode squeezed states of a quantum mechanical system is one of the first applications of the Madelung–Bohm formalism.
Designing Learning Media for The Effectiveness of Vocabulary Junior High School

English is an international language that is indispensable in addition to knowledge of English as well as a means of communication. Learning requires the media to convey it to students. The researcher uses the Research and Development (R&amp;D) method with the ADDIE development process. The purpose of this study was to determine the results of the development of instructional media in the form of PowerPoint hyperlinks as a tool that helps increase students' learning motivation and the effectiveness of learning media in grade 8th. The sample of students in this study were grade 8th students of MTs Bahrul Ulum Tambak Beras Jombang with 12 students’ responses. Data collection instruments used in this study were interviews and questionnaires. The feasibility of the product was tested for media validation and material validation, each of which has a value of 96% for media and 76% for the material. The results showed that students' vocabulary comprehension skills increased after learning with the PowerPoint application. Learning media hyperlinks that have been validated and revised are appropriate as a tool to increase students' learning motivation.
Secure Data Sharing in Cloud Computing Using Revocable Storage Identity-based Encryption Methodology: A Survey

Cloud computing is one of the best ways to store, retrieve and share data which is easy, convenient and also beneficial for both the organization and individuals. But there are many of disadvantages because of which users hesitate to share data to the cloud as they contain important and valuable information. Therefore it is necessary to apply encryption on your user’s shared data, for this Identity-based encryption is one of common and promising approach to secure shared data. However access control is not static. That is, when some user’s authorization is expired, there should be a mechanism that can remove him/her from the system. Consequently, the revoked user cannot access both the previously and subsequently shared data. To overcome this problem Revocable-storage identity-based encryption (RS-IBE) is introduced, which can provide the forward/backward security of cipher text with functionalities like user revocation and cipher text update that takes place simultaneously. The performance comparisons indicate that the proposed RS-IBE scheme has advantages in terms of functionality and efficiency, and thus is feasible for a practical and cost-effective data sharing system. Keywords - Cloud computing, data sharing, revocation, Identity-based encryption, cipher text update, decryption key
PENGEMBANGAN MATERI AJAR FPB BERBASIS PMRI DI SEKOLAH DASAR

This study aims to produce products for developing PMRI-based GCD teaching materials in elementary schools that are in accordance with valid and practical characteristics. In this research used the RnD method with Plomp model. The stages of development carried out are the Preliminary Research Phase, Prototyping Phase, and Assessment Phase. The teaching materials developed by the researchers were validated by 3 experts consisting of material experts, educational technology experts and linguists. For practicality, it can be seen from the practicality questionnaire of teachers and students given by during the small group trial. Data collection techniques carried out by interviews, observations, and questionnaires. The data obtained from the data collection is then processed by quantitative analysis techniques and descriptions. Based on the results of the validation of the teaching materials developed, the criteria are valid (feasible) with an average percentage of 93.75%. The practicality of teaching materials based on the teacher's practicality questionnaire is 90.62% with very practical criteria, and based on the students' practicality questionnaire is 81.04% with practical criteria. Based on the results it can be concluded that the PMRI-based GCD teaching materials in elementary schools have valid and practical criteria, which means that they can be used in learning.
ANALISIS KESULITAN SISWA KELAS V DALAM MENULIS TEKS NARASI TEMA 7 SUBTEMA 2 DI SDN MOJOAGUNG 01

The goal to be achieved by the researcher is to describe the difficulties of students in writing narrative texts for class V theme 7 sub-theme 2 for the 2020/2021 academic year at SDN Mojoagung 01. The research method used is descriptive qualitative research. The research subjects were students of class V SDN Mojoagung 01. Based on the results of research on student questionnaires, as many as 8 students had difficulty writing the contents of ideas that were in accordance with the topic, as many as 9 students had difficulties in the suitability of content with titles, as many as 15 students had difficulties in diction/word choice, as many as 17 students had difficulties in using spelling, and 14 students had difficulties with the neatness of writing. Based on the results, it was found that the level of students' ability to write narrative texts was 6 students who were not good enough, 16 students were good enough, and 2 students were good. Difficulties experienced by students in aspects of diction/word choice, spelling use, and writing neatness. Implementation for the world of education is to improve education in the future that is needed to know the difficulties of students in writing narrative texts.
Geeks and Newbies: Investigating the Criminal Expertise of Online Sex Offenders

While online sex offenders use a wide range of strategies to try to avoid police detection, attempts to avoid detection of child sexual exploitation materials (CSEM) and online sexual solicitation of children have received very little attention.This study aims to understand online sex offenders' behaviors by modeling the factors associated with their use of technological data protection and anonymity preservation strategies.The data is based on a sample of 199 men involved in crimes related to the use of child pornography or sexual solicitation of minors online.The analytical strategy based on the use of an artificial neural network (ANN), a machine-learning system, identified two trends.First, those who displayed problematic substance use and sexual thoughts and fantasies as well as behaviors reported to be preoccupying did not use specific strategies to avoid police detection.Second, two combinations of factors predict use of police anti-detection strategy, suggesting that the criminal expertise of online sex offenders is manifested in two different patterns: those building on existing knowledge, and those learning skills through previous judicial experience.
PERBANDINGAN MOTIVASI BELAJAR MAHASISWA YANG MENGIKUTI PEMBELAJARAN DARING DAN TATAP MUKA DI PENDIDIKAN BIOLOGI UNIVERSITAS COKROAMINOTO PALOPO.

The purpose of this study is to find out which is the higher learning motivation of students who participate in learning boldly and to find out the motivation of students to learn offline. The research method used in this research is the questionnaire method. The questionnaire contains questions about student motivation to take part in learning on campus with a hybrid system. Based on the analysis of the questionnaire data obtained, it can be said that the highest student motivation in the learning process is in an attractive condition. Students need direct interaction with friends and with lecturers in the classroom.
CATEGORY SHIFT USED IN NOUN PRHASE AND ITS QUALITY IN THE NOVEL DIVERGENT

The aims of this research were to find the type of category shift, and quality assessment of noun phrase translation in the novel Divergent. Based on theory Catford (1965). Also, theory Nababan (2012) for quality assessment. This research used a descriptive–qualitative method. To achieve the aims of this study, the researcher used some techniques to analyze the data such as reading and collecting data, underlining the type of category shift in the text of the novel, categorizing types of translation shift, assessing translation accuracy, assessing translation readability and acceptability. Based on the data analysis, it was found that 92% of the data were accurate because the category shift of noun phrase in the target language has equivalent meaning with the source language; 6% of the data were less accurate because the category shift of noun phrase had no equal meaning with the source language and the equivalence seemed less natural, and 2% of the data were not accurate. Meanwhile, 93% of the data were readable because the translation was very easy to understand; 5% of the data were less readable because the translation was not very easy to understand, and 2% of the data were unreadable because the translation was difficult to understand. Furthermore, 92% of the data were acceptable because the translation sounds natural; the words, phrases, clauses, and sentences of the source text, 6% of data were less acceptable, and 2% of data were not acceptable. The dominant data of category shift are the structure shift which got the percentage of 56%, followed by intra-system shift 32%, class shift 8%, and unit shift 4 %.
Algorithm for psycholinguistic analysis of social networks texts using the Big Five Personality Traits

The paper presents an approach to determining the psychological characteristics of a user of social networks through the analysis of text messages in social networks. The proposed approach includes the user's texts classification using machine learning. The results of the analysis of user surveys in accordance with the Big Five model, as well as a set of author's text data from social network pages, are used as training data. The questionnaire contains paired statements, and the respondent determines the degree of their own agreement with one or another statement on a scale from 0 to 4. Natural language text processing (NLP) methods were applied to the text resources used as input data for the classifier, as well as the RuWordNet linguistic ontology, in order to level out a number of features of social network texts, for example, the presence of grammatical errors and emoticons that complicate the process. semantic analysis. Two models were used as classifiers: the support vector machine and the random forest method. The area under the error curve (AUC ROC) metric was used to evaluate performance. The experiments used open text data of more than 1000 users of social networks.