Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE EKSPERIMEN UNTUK MENINGKATKAN KETUNTASAN BELAJAR PADA PEMBELAJARAN IPA DI KELAS V SD N 173601 ONAN BORBOR

The results of the study indicate that using the experimental method can improve students' learning mastery. In the first cycle the average observation of the teacher was 60 and increased in the second cycle to 86.25. While the results of observations of students in the first cycle had an average of 57.5 and increased in the second cycle by 85. Based on the research results obtained in the initial conditions or before being given action there were 34 students (87%) who had not finished studying and 5 people (13 % ) who finished studying with an average score of 55.51. In the first cycle there were 20 students (51%) who had not finished studying and 19 students (49%) who had finished studying with an average score of 69.35. In the second cycle there was an increase, namely: there were 36 students (92%) who finished studying and 3 students (8%) who had not finished studying with an average value of 80.25.
A Data Extraction Algorithm From Open Source Software Project Repositories for Building Duration Estimation Models: Case Study of GitHub

Software project estimation is important for allocating resources and planning a reasonable work schedule. Estimation models are typically built using data from completed projects. While organizations have their historical data repositories, it is difficult to obtain their collaboration due to privacy and competitive concerns. To overcome the issue of public access to private data repositories this study proposes an algorithm to extract sufficient data from the GitHub repository for building duration estimation models. More specifically, this study extracts and analyses historical data on WordPress projects to estimate OSS project duration using commits as an independent variable as well as an improved classification of contributors based on the number of active days for each contributor within a release period. The results indicate that duration estimation models using data from OSS repositories perform well and partially solves the problem of lack of data encountered in empirical research in software engineering.
CURRENT DIRECTIONS OF MODERNIZATION AND COMPUTERIZATION OF THE COURSE HIGHER MATHEMATICS IN THE LEADING TECHNICAL UNIVERSITIES OF UKRAINE

From the standpoint of professional criticism, interested in obtaining the best result, the current state of the educational course in higher mathematics at the technical universities of Ukraine is analyzed. A discrepancy between the classical (analytical) methods for solving problems presented in it and the computer (numerical or numerical-analytical) methods that are used in the current practice of engineering calculations is noted. To eliminate this problem, it is proposed to introduce into the training course, along with lectures and practical classes, the third component of training - the cycles of laboratory practicums in higher mathematics using personal computers. Laboratory practicums are designed to demonstrate to junior students studying higher mathematics the ability to solve real problems from applications to technology and physics using its methods. In addition, in the form of laboratory practicums, individual sections of the engineering course of higher mathematics are studied, which, due to lack of time and other, often subjective, reasons, have recently been taken out for optional learning (differential geometry of a plane and spatial curve, surfaces of the second and higher orders, practical harmonic analysis, multi criteria optimization, and a number of others). To ensure this modernization, it is proposed to divide the general course of higher mathematics into two streams (vector analysis and scalar analysis) and to increase the number of classroom lessons to 32 – 36 hours per week, that is, to the level of the world's leading technical universities. In addition, the mathematics course is coordinated with the computer science course, where, in a priority order, first-year students are taught to work in the MathCAD interactive computer environment. And in order for the reform to take place without attracting additional funds for salaries, it is proposed to increase the teaching load of teachers of higher mathematics and computer science by 30 % (which is compensated by a decrease in the load on scientific work and other activities).
Informational and Communication Technologies Used in the Doctors of Philosophy Preparation in the Conditions of Distance Education

The paper is dedicated to issues of distance education of applicants for scientific degrees — graduate students and doctoral students. In particular, the aim of the article is to determine the negative characteristics of distance education in higher education, while learning the information and communication technologies, including the postgraduate education, for formulating a comprehensive view of this format of education. Significant characteristics (peculiarities) of the distance education are outlined by author. They are: individualization of the educational process, indirect interaction of participants, and specialization of the environment. Essential advantages (objective need to optimize individual qualities and learning skills; more comfortable learning conditions than in the classroom; saving personal resources) and disadvantages (destruction of social relations; development of deep introverted qualities of the individual; gradual exclusion of the person from socialization; inability and / or unwillingness of individual tutors to adapt their professional skills to new conditions; inadequate level of technical support of the teaching staff, and in some places — students) of distance education are determined by the researcher on the basis of using of content-analysis of pieces for the content of features, mentioned above. The author's reasoning about the list of advantages and disadvantages of distance education is supported and expanded by the in-depth analysis of empirical sources, including scientific researches within the object of research. The advantages and disadvantages of distance postgraduate education according to the criterion of their nature are classified and three basic groups of advantages and disadvantages of the distance education are suggested. It is concluded that the reverse side of the "medal" in the form of distance education contains negative phenomena and processes of technical-technological, psychological and social-communicative nature. It is emphasized, that the consequences of psychological and social-communicative nature can be irreversible and lead to the complete destruction of an individual and the loss of social relations. It is indicated that the best option for further development of educational processes is the rational use of distance learning technologies as a supplement to traditional education.
Quantum Implementation and Resource Estimates for RECTANGLE and KNOT.

With the advancement of the quantum computing technologies, a large body of research work is dedicated to revisit the security claims for ciphers being used. An adversary with access to a quantum computer can employ certain new attacks which would not be possible in the current pre-quantum era. In particular, the Grover’s search algorithm is a generic attack against symmetric key cryptographic primitives, that can reduce the search complexity to square root. To apply the Grover’s search algorithm, one needs to implement the target cipher as a quantum circuit. Although relatively recent, this field of research has attracted serious attention from the research community, as several ciphers (like AES, GIFT, SPECK, SIMON, etc.) are being implemented as quantum circuits. In this work, we target the lightweight block cipher Rectangle and the Authenticated Encryption with Associated Data (AEAD) Knot which is based on Rectangle; and implement those in the ProjectQ library (an open-source quantum compatible library designed by researchers from ETH Zurich). AEADs are considerably more complex to implement than a typical block/stream cipher, and ours is among the first works to do this. The implementations reported here are simulated on classical computer (as long as it is feasible).
Sentence Structure and Word Relationship Modeling for Emphasis Selection

Emphasis Selection is a newly proposed task which focuses on choosing words for emphasis in short sentences. Traditional methods only consider the sequence information of a sentence while ignoring the rich sentence structure and word relationship information. In this paper, we propose a new framework that considers sentence structure via a sentence structure graph and word relationship via a word similarity graph. The sentence structure graph is derived from the parse tree of a sentence. The word similarity graph allows nodes to share information with their neighbors since we argue that in emphasis selection, similar words are more likely to be emphasized together. Graph neural networks are employed to learn the representation of each node of these two graphs. Experimental results demonstrate that our framework can achieve superior performance.
Fast and Space-Efficient Construction of AVL Grammars from the LZ77 Parsing

Grammar compression is, next to Lempel-Ziv (LZ77) and run-length Burrows-Wheeler transform (RLBWT), one of the most flexible approaches to representing and processing highly compressible strings. The main idea is to represent a text as a context-free grammar whose language is precisely the input string. This is called a straight-line grammar (SLG). An AVL grammar, proposed by Rytter [Theor. Comput. Sci., 2003] is a type of SLG that additionally satisfies the AVL-property: the heights of parse-trees for children of every nonterminal differ by at most one. In contrast to other SLG constructions, AVL grammars can be constructed from the LZ77 parsing in compressed time: $\mathcal{O}(z \log n)$ where $z$ is the size of the LZ77 parsing and $n$ is the length of the input text. Despite these advantages, AVL grammars are thought to be too large to be practical. We present a new technique for rapidly constructing a small AVL grammar from an LZ77 or LZ77-like parse. Our algorithm produces grammars that are always at least five times smaller than those produced by the original algorithm, and never more than double the size of grammars produced by the practical Re-Pair compressor [Larsson and Moffat, Proc. IEEE, 2000]. Our algorithm also achieves low peak RAM usage. By combining this algorithm with recent advances in approximating the LZ77 parsing, we show that our method has the potential to construct a run-length BWT from an LZ77 parse in about one third of the time and peak RAM required by other approaches. Overall, we show that AVL grammars are surprisingly practical, opening the door to much faster construction of key compressed data structures.
Educación emocional en el contexto de la pandemia de COVID-19

In pandemic times, it is important that people develop social-emotional learning skills in order to deal with stressful situations, and that these are approached with calmness and balanced emotional responses. The objective of this article is to reflect on the role of emotional education in pandemic conditions. Current trends advocate its insertion into teaching curricula, including introducing it as a new vision of the world, with a view to physical and mental well-being. Today, it represents a challenge for all of humanity, in order to strengthen the capacity to face adversity with more resilient positions. It can only be effective from an emotional balance and adequate mental health of the social actors involved.
ANALISIS PENGGUNAAN KATA KETERANGAN DALAM ARTIKEL PADA KOLOM OPINI SURAT KABAR HARIAN KOMPAS

The problem of this research is about the use of adverb in the opinion article of Kompas newspaper. The aim of this research is to describe the use of adverb in opinion articles of Kompas. The method of this research is a qualitative research. The data sources of this research is an opinion article of Kompas. The results of this research shows that the use of adverb is exist in the opinion article of Kompas. It is used productively by the writer with the purpose is for broadening the sentence and clarifying the writer intention. An adverb in opinion article of Kompas.
Novel rules for extracting the entities of entity relationship models

Extracting entities from natural language text to design conceptual models of the entity relationships is not trivial and novice designers and students can find it especially difficult. Researchers have suggested linguistic rules/guidelines for extracting entities from natural language text. Unfortunately, while these guidelines are often correct they can, also, be invalid. There is no rule that is true at all times. This paper suggests novel rules based on the machine learning classifiers, the RIPPER, the PART and the decision trees. Performance comparison was made between the linguistic and the machine learning rules. The results shows that there was a dramatic improvement when machine learning rules were used.
Evaluation of Hydro-Oceanographic Specialization Education Program in the Sea Naval Education-Oceanography Education Center

This study aimed to evaluate the Hydro-Oceanographic Officer Specialization in Education Program at the Indonesian
Learning Foreign Language: Between Globalization and Hegemony in Indonesia

Implementation of foreign language learning in Indonesia is an effort for the Indonesian people to be able to absorb and follow the development of science and technology in the world, as well as a way to get into the global society. Behind this goal, there is a concern about the infiltration of (Western) values that can erode the identity of foreign language learners as Indonesian. This concern arises because in learning foreign languages contained information about foreign culture (Western) and its cultural values. cultural values, if not critically viewed by foreign language teachers and learners, are very likely to change the cultural outlook of learners in Indonesia. Foreign language learning is even suspected of being a means of doing hegemony towards the people of Indonesia (East). In this article explained about the situation of foreign language learning in Indonesia, forms of Western hegemony against East through foreign language learning, Alternative forms of ethnopedagogic and intercultural-based foreign language learning.
An Assessment of the effectiveness of ICT Programme in Uttar Pradesh: Views of the ICT Teachers

The paper is designed to assess the performance of ICT from the viewpoint/ feedback of ICT teachers teaching in different schools in the rural and urban areas.ICT teachers are responsible for the teaching and maintenance of computer software and hardware under ICT in the schools. It was found that ICT plays an important role in school education and the ICT teachers are the key person playing an important role in this the effective implementation of this scheme. All sampled schools (Phase-phase-I & II) have one ICT teacher for handling entire ICT activities in schools It was observed that in general the ICT teachers are recruited on contractual basis for a certain period.But the ICT teachers are not getting proper remuneration which results in less motivation for their job.it was found that in around 66 percent of the sampled schools majority of the ICT teachers are not satisfied with their remuneration. Generally they are an exploited lot across the districts in terms of their remunerations as well as the work load.As per ICT teachers observation, this programme is very much popular and useful among the school students in Uttar Pradesh. But considering the students strength in schools, the proportion of available ICT computer and other infrastructural facilities are quite insufficient. In this paper the opinion of the ICT teachers in sampled schools has been solicited in this regard to understand the effictiveness of the ICT scheme launched by the government in two different phases.The paper is based on extensive primary field data on the basis of purposive sampling to find out the outcomes.
Multi-robot Multi-path Intelligent Planning Based on Universal Conflict Resolution and Free Crossing Emergence

Multi-robot cooperative path planning is one of the most significant study areas in intelligent reconnaissance, transportation, combat and other scenarios. One of the difficulties is how to take intelligent measures to solve complex path-conflict scenarios between robots. Aiming at the above problem, this paper establishes universal conflict resolution mode and multi-path traffic rules, so that each robot can judge the characteristics of conflict scene and avoid the potential conflict scene. Firstly, an algorithm of universal conflict resolution and free crossing emergence from outside to inside (UCR-FCE) is proposed to solve the conflict problem when the number of local areas is huge, it includes extended resolution algorithms named FB, +AVRCA and BO and a mechanism of avoiding Receptor Dodger (RD) from Noumenon Dodger (ND) to the free junction; secondly, we prove that UCR-FCE can solve all the conflict scenarios with sufficient path nodes and no path deadlock, without exception; finally, a lightweight multi-robot information interaction mechanism is built. Simulation and field test of the proposed multi-robot multi-path intelligent planning algorithm were carried out. The results show that the system can effectively refer to the traffic rules, intelligently adapt to ever-changing potential conflicts, with improving success rate of path planning and multi-robot real-time communication.
Deep learning based modulation classification

The ability to classify various types of signal modulations in radio transmissions is an important task for applications in defense, networking and communication areas. This process was traditionally performed manually by human analysis. Recent advances have shown that deep learning methods apply to this feasible task. But existing recognition networks are complex, with high computational requirements and low precision for some types of modulation and in environments not included. We have developed a robust high-frequency signal classifier with a hybrid approach that uses images derived from the signal constellation and spectrogram data in combination with an efficient neural folding network. Compared to the latest generation deep learning classifier, our system achieves better accuracy with lower computational requirements. We conduct an in-depth study on the performance of deep learning-based radio signal classification for radio communications signals.
Experimental Comparison of PC-Trees and PQ-Trees

PQ-trees and PC-trees are data structures that represent sets of linear and circular orders, respectively, subject to constraints that specific subsets of elements have to be consecutive. While equivalent to each other, PC-trees are conceptually much simpler than PQ-trees; updating a PC-tree so that a set of elements becomes consecutive requires only a single operation, whereas PQ-trees use an update procedure that is described in terms of nine transformation templates that have to be recursively matched and applied.Despite these theoretical advantages, to date no practical PC-tree implementation is available. This might be due to the original description by Hsu and McConnell [Hsu et al., 2003] in some places only sketching the details of the implementation. In this paper, we describe two alternative implementations of PC-trees. For the first one, we follow the approach by Hsu and McConnell, filling in the necessary details and also proposing improvements on the original algorithm. For the second one, we use a different technique for efficiently representing the tree using a Union-Find data structure. In an extensive experimental evaluation we compare our implementations to a variety of other implementations of PQ-trees that are available on the web as part of academic and other software libraries. Our results show that both PC-tree implementations beat their closest fully correct competitor, the PQ-tree implementation from the OGDF library [Markus Chimani et al., 2014; Leipert, 1997], by a factor of 2 to 4, showing that PC-trees are not only conceptually simpler but also fast in practice. Moreover, we find the Union-Find-based implementation, while having a slightly worse asymptotic runtime, to be twice as fast as the one based on the description by Hsu and McConnell.
Transport-enabled entangling gate for trapped ions

We implement a two-qubit entangling Molmer-Sorensen interaction by transporting two co-trapped $^{40}\mathrm{Ca}^{+}$ ions through a stationary, bichromatic optical beam within a surface-electrode Paul trap. We describe a procedure for achieving a constant Doppler shift during the transport which uses fine temporal adjustment of the moving confinement potential. The fixed interaction duration of the ions transported through the laser beam as well as the dynamically changing ac Stark shift require alterations to the calibration procedures used for a stationary gate. We use the interaction to produce Bell states with fidelities commensurate to those of stationary gates performed in the same system. This result establishes the feasibility of actively incorporating ion transport into quantum information entangling operations.
Writing Data Tables, Formik Forms, and Yup Validations

In the previous chapter, we learned how to write local states and send HTTP requests. We also installed ApexCharts to create our visual charts.
Numerical Solution of Nonlinear Equations in Maple

The main purpose of this paper is to obtain the real roots of an expression using the Numerical method, bisection method, Newton's method and secant method. Root analysis is calculated using specific, precise starting points and numerical methods and is represented by Maple. In this research, we used Maple software to analyze the roots of nonlinear equations by special methods, and by showing geometric diagrams, we examined the relevant examples. In this process, the Newton-Raphson method, the algorithm for root access, is fully illustrated by Maple. Also, the secant method and the bisection method were demonstrated by Maple by solving examples and drawing graphs related to each method.
Language learning strategies of ESL students in online distance learning environment / Nur Alyani Khairol Anuar & Muhammad Irfan Mokhtar

This study reports on the use of Language Learning Strategies by L2 learners in online distance learning environment. When learning, learners will either consciously or unconsciously use language learning strategy (LLS) in order to process new information in their language lesson. In 1990, Oxford comes out with Strategies Inventory of Language Learning (SILL). This inventory has six broad categories: Cognitive, Memory, Affective, Meta- cognitive, Compensatory, and Social strategies. Various researches then have been conducted with their focus on LLS in L2 learning. LLS has been found to help learners to achieve better language achievement. While technology keeps on moving forward, it also lays its effects on teaching and learning process. The advent of technology gives L2 learners the opportunity to learn the language in technology-mediated environment. Thus, this study examined the preference of L2 learners in LLS when learning English in online distance environment. 78 respondents were involved in this study and questionnaires were given as the research instrument. Result shows that in term of LLS preference, learners used more Compensation strategy when learning English online. There is also a significant difference between male and female learners in term of LLS use. Female used more LLS as compared to male. Female learners preferred to use Metacognitive strategy, while male used Compensation strategy the most. The findings of this study have pedagogical impacts on English teaching and learning process.