Reviewerly/exHarmony huggingface dataset:
Improving Young Learners’ English Vocabulary Mastery by Using Flash Cards

Abstrack. This study dealt with teaching English using flashcards to improve young learners’ English Vocabulary. The objective s of the study is to find how the use of flash card in increas ing young learners’ English vocabulary mastery . In order to achieve the objective of this study, the researcher used classroom action research as the research design in doing the research. The populations of this study w ere the 29 students of fifthgraders at SD Negeri Wedi, Sidoarjo. There was only one cycle in this study.The cycle was conducted in three meetings. In this cycle, the students were drilledabout kinds of clothes and kinds ofoccupation. There were two types of the test in this action research. They were Test 1 and Test 2. The test was related to the kinds of clothes and kinds of occupation. In Test 1, the students had to answer 30 multiple choices qu e st i ons a boutkindsof c lo t hes a nd occupations . In Test 2, the students arrange the jumbled alphabets into the right name of clothes. The result of the study showed that the Test 2 scores were better than the Test 1 scores. It could be seen by comparing their means. The means of the Test 1 score was 80.6. While the Test 2 score was 88.9. It means that there is a significance difference in students’ scores after they were given treatments using flashcards.The increasing achievements show the increasing vocabulary mastery of the students. The significant improvement of the students after they were taught by the research using flash cards as medium indicated that the treatment was effective. So, it is recommended that the teacher can use flashcards as media in teaching young learners to increasetheir interest in learning English. Hopefully there would be further studies inteaching English using other technique. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:Table Normal;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:;mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin-top:0cm;mso-para-margin-right:0cm;mso-para-margin-bottom:8.0pt;mso-para-margin-left:0cm;line-height:107%;mso-pagination:widow-orphan;font-size:11.0pt;font-family:Calibri,sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Times New Roman;mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:Arial;mso-bidi-theme-font:minor-bidi;}
Extract Rare Itemsets from Large Database Using Automatic Support and Vertical Data Presentation - Rasver

The frequent itemset mining is an evolving and surging technology in data mining used to unearth potentially useful hidden patterns present in the database using the user defined support threshold values. When RIM – rare itemsets are extracted from the database using the user defined support threshold, the problem arises due to the following factors. If the minimum support threshold value is set to a high value, the rare itemsets will be ignored and if the minimum threshold value is set to a low value, some uninteresting itemsets will be found. To evade this problem, this research paper introduces automatic support threshold value generation based on the database using an algorithm named “RASVER” and finds the rare itemsets and interesting itemsets without any loss and the time consumption as well as the memory consumption is very low when compared with the existing algorithms.
AXIOLOGICAL APPROACH IN THE PROCESS OF ACTUALIZATION OF THE PERSONAL PRINCIPLE IN PEDAGOGICAL PRACTICE

The problem of actualizing the intellectual, creative abilities of modern youth has many aspects. Among them, an important place is occupied by the presence / absence of a value and ideological component in the content of teaching materials, as well as in educational and educational programs. According to the author, the application of the axiological approach allows to “awaken” the individuality of the student, since the formation of a system of values corresponding to the principle of conformity to nature is necessary for the formation of a morally mature, intellectually developed personality.
Authors’ Reply to: And Justice for All? There Is More to the Interoperability of Contact Tracing Apps Than Legal Barriers. Comment on 'COVID-19 Contact Tracing Apps:A Technologic Tower of Babel and the Gap for International Pandemic Control'

We appreciate Crutzen’s comments on our analysis of the technologic Tower of Babel, which analyzed the global functioning and interaction of COVID-19 contact tracing apps.In his critique, Crutzen argued that it is not all about the law, but also about ethics. We agree with this proposition. Ethics and the principles of digital governance are essential to structure the digital world , especially during (and after) a pandemic.
Education as a subject of philosophy

Discussed is upbringing as a socio-cultural characteristic of social experience, which makes it possible to form an idea of ​​upbringing as a necessity for social progress in philosophical thought. A complex of philosophical and pedagogical methods is used: analysis, synthesis, comparison, discourse analysis of educational programs, secondary analysis of the results of sociological research. It is determined that modern pedagogy is characterized by a crisis of the educational process, which has arisen with an urgent need for a philosophical understanding of the problem of education. The purpose of this work is to analyze the specifics of a philosophical approach to the phenomenon of education as a process of socio-philosophical research. In this regard, a need arose to study the essence of the phenomenon of education in the context of global information technology. According to the authors, the philosophy of upbringing is the most important factor in the interdisciplinary study of the problems of upbringing for the improvement of society. n arguing this issue, the authors are based on the pedagogical concepts of famous philosophers who determined the development of pedagogy of the last century. Thus, the authors propose to include in the curriculum the course “Philosophy of Education” that exists in the universities of the CIS. The authors of the articles identified the priorities of the effectiveness of higher and secondary specialized education in interdisciplinary research of the problem of education.
Preliminary results from a time domain model of a clarinet-like system

A time domain model of a clarinet-like system has been built using the Simscape multidomain modeling system. This model largely replicates physical features that have been included in previous models by others. The air column has constant inside diameter. The tube has thirteen tone holes. The first three holes are spaced to give approximate chromatic tone spacing. The remaining holes have the same spacing as the last chromatic pair, and all the holes are sized to give a constant tone hole lattice cuttoff frequency of 1500 Hz. The reed is modeled as a single degree of freedom oscillator that terminates the “closed” end of the tube. Blowing pressure is provided by a mouth cavity of fixed volume. This model allows calculation transient behavior that becomes steady state if the input pressure remains constant. We present results of startup transients, slow crescendo and decrescendo playing, and oscillation behavior in response to opening and closing the tone holes. The current model does not accurately match the design of any particular instrument, but it does demonstrate an ability to calculate the behavior of some interesting playing behaviors of an instrument.
Actitud, conocimiento y manejo de los recursos tic en entornos virtuales en contexto de COVID-19

Postmodern society is immersed in a global context of drastic and profound changes. Technological disruption has set a trend and this requires rethinking innovation, humanization and predictability. Distance education using virtual environments shows a very different scenario in which students were a year ago and it is necessary to offer more humanized responses to these new technological forms of human life.  A transformation of the work systems and new individual and social behaviors in the daily life is observed, where two different dimensions for the human beings are distinguished: situated and virtual contexts. The dynamics of transculturation and the dependence on social networks, virtual environments and videoconference platforms propose new paradigms for human development. In this scenario, Information and Communication Technologies (ICT) cannot be seen only as a pedagogical resource but as a catalyst agent in knowledge management and competence development. This work promotes reflection on the attitudes, knowledge and management that students of Chilean pedagogy have towards ICTs in their university learning experience prior to the COVID-19 context. The results show a positive attitude towards the use of these technological resources. However, this context reveals deficiencies in equipment, connectivity and training in the pedagogical use of ICTs to manage knowledge and learning, which requires urgent planning and reorientation by authorities and educators.
Research on the Integration Method of Intelligent Terminal Services Oriented to the Aged Cross-Border Platform

Abstract To meet the needs of the elderly for smart, healthy, and elderly care, the paper uses the Internet, the Internet of Things, cloud computing, and other technical means to build a cloud platform-based smart health and elderly care cross-border platform service system. Designed and developed a health all-in-one smart terminal suitable for a home environment to realize physiological parameter collection and vital sign monitoring. This system promotes the intelligent upgrade of the cross-border platform for the elderly, and improves the quality and efficiency of the health of elderly services.
A Novel Automated Guided Vehicle (AGV) Remote Path Planning Based on RLACA Algorithm in 5G Environment

Remote control and monitoring will become the future trend. High-quality automated guided vehicle (AGV) path planning through web pages or clients can reduce network data transmission capacity and server resource occupation. Many Remote path planning algorithms in AGV navigation still have blind search, path redundancy, and long calculation time. This paper proposed an RLACA algorithm based on 5G network environment through remote control of AGV. The distribution of pheromone in each iteration of the ant colony algorithm had an impact on the follow-up. RLACA algorithm changed the transfer rules and pheromone distribution of the ant colony algorithm to improve the efficiency of path search and then modify the path to reduce path redundancy. Considering that there may be unknown obstacles in the virtual environment, the path obtained by the improved ant colony algorithm is used as the training data of reinforcement learning to obtain the Q-table. During the movement, the action of each step is selected by the Q-table until the target point is reached. Through experimental simulation, it can be concluded that the enhanced ant colony algorithm can quickly obtain a reasonable and adequate path in a complex environment and effectively avoid unknown obstacles in the environment.
Significant Association Rule Mining with MMS and Efficient Correlation Framework

Correlation-based significant association rule mining is highly required for proper knowledge discovery. Selection of proper correlation measure is a critical task. A significant association rule may become insignificant if the correlation measure is changed. Traditional approaches only concentrate on mining correlated association rules from frequent itemsets and ignore rare itemsets. The fact promotes the generation of insignificant association rules with low correlation but high dissociation. High dissociation refers to weak associability between the itemsets forming association rules. To overcome the issues, this paper introduces an efficient correlation framework (ECF) for significant association rule mining. Subsequently, an efficient algorithm called SARM (Significant Association Rule Mining) is proposed based on the concept of multiple minimum supports (MMS) and efficient correlation framework (ECF). The proposed SARM follows downward closure property that reduces the itemset search space. Performance of the proposed approach is evaluated through necessary experiments with real-life datasets and the performance is quite satisfactory.
Stereo rectification of Scheimpflug telecentric lenses

Stereo vision plays an essential role in non-contact 3D measurement, which employs two cameras to achieve applications such as visual synthesis, terrain surveying, and deformation detection. The commonly used Scheimpflug principle is expressed as the object plane, the image plane, and the lens plane intersect in a line, based on which stereo cameras can be slantwise focused on the object space with an overlapping field of view and depth of field. Based on our previously proposed calibration method, a stereo-rectification of Scheimpflug telecentric lenses is proposed in this paper. The effectiveness and accuracy of the proposed methods are verified by experiments.
A New Approach for Fairness Increment of Consensus-Driven Group Recommender Systems Based on Choquet Integral

It has been witnessed in recent years for the rising of Group recommender systems (GRSs) in most e-commerce and tourism applications like Booking.com, Traveloka.com, Amazon, etc. One of the most concerned problems in GRSs is to guarantee the fairness between users in a group so-called the consensus-driven group recommender system. This paper proposes a new flexible alternative that embeds a fuzzy measure to aggregation operators of consensus process to improve fairness of group recommendation and deals with group member interaction. Choquet integral is used to build a fuzzy measure based on group member interactions and to seek a better fairness recommendation. The empirical results on the benchmark datasets show the incremental advances of the proposal for dealing with group member interactions and the issue of fairness in Consensus-driven GRS.
CONet: Channel Optimization for Convolutional Neural Networks

Neural Architecture Search (NAS) has shifted network design from using human intuition to leveraging search algorithms guided by evaluation metrics. We study channel size optimization in convolutional neural networks (CNN) and identify the role it plays in model accuracy and complexity. Current channel size selection methods are generally limited by discrete sample spaces while suffering from manual iteration and simple heuristics. To solve this, we introduce an efficient dynamic scaling algorithm -- CONet -- that automatically optimizes channel sizes across network layers for a given CNN. Two metrics -- ``\textit{Rank} and \textit{Rank Average Slope} -- are introduced to identify the information accumulated in training. The algorithm dynamically scales channel sizes up or down over a fixed searching phase. We conduct experiments on CIFAR10/100 and ImageNet datasets and show that CONet can find efficient and accurate architectures searched in ResNet, DARTS, and DARTS+ spaces that outperform their baseline models.
PSYCHOLOGICAL STUDY OF EMOTIONS AND EMOTIONS IN WORLD PSYCHOLOGY

The role of psychology in world science today and its development, the manifestation of psychological conditions in world psychology, the main causes of self-government, emotional and emotional states in world psychology today.
Prediction of Fuzzy Nonparametric Regression Function: A Comparative Study of a New Hybrid Method and Smoothing Methods

In this paper, the fuzzy regression model is considered with crisp inputs and symmetric triangular fuzzy output. This study aims to formulate the fuzzy inference system based on the Sugeno inference model for the fuzzy regression function prediction by the fuzzy least-squares problem-based on Diamond's distance. In this study, the fuzzy least-squares problem is used to optimize consequent parameters, and the results are derived based on the V-fold cross-validation, so that the validity and quality of the proposed method can be guaranteed. The proposed method is used to reduce the bias and the boundary effect of the estimated underlying regression function. Also, a comparative study of the fuzzy nonparametric regression function prediction is carried out between the proposed model and smoothing methods, such as k-nearest neighbor (k-NN), kernel smoothing (KS), and local linear smoothing (LLS). Different approaches are illustrated by some examples and the results are compared. Comparing the results indicates that, among the various prediction models, the proposed model is the best, decreasing the boundary effect significantly. Also, in comparison with different methods, in both one-dimensional and two-dimensional inputs, it may be considered the best candidate for the prediction.
Correlation of Radial Watershed Physical Parameters to the Unit Hydrograph Time Base

This study intends to investigate the radial watershed physical parameters that affect the unit hydrograph time base. The methodology consists of (1) determining the time base based on the unit hydrograph derived from data rainfall - the single peak of the flood, using the Collin method, (2) identifying the physical characteristics of the radial watershed, using Arc. GIS-based on topography map scale 1:50,000, and (3) investigating the relationship between the radial watershed physical parameters and the unit hydrograph time base, using the Pearson correlation method. The research locations are ten radial watersheds spread across South Sulawesi Province and several watersheds in Java Island. Ten radial watershed physical parameters have been tested. As a result, seven radial watershed physical parameters have a strong (R = 0.60 - < 0.80) to very strong (R ≥ 0.80) correlation, namely (1) topographic factors (T); (2) watershed area (A); (3) watershed perimeter (P); (4) the main river length (L); (5) factor of the main river length and the river length from outlet to nearest the center gravity of the watershed [L.Lc]; (6) river slope (S); (7) the main river length from outlet to nearest the center gravity of the watershed (Lc) and the remaining three parameters, namely upstream area of the watershed (RUA), the ratio between of the main river length and the river length from outlet to nearest the center gravity of the watershed [L/Lc] and drainage density (Dd) have a moderate to low correlation relationship (R < 0.60). Keywords: radial watershed, time base, unit hydrograph, correlation.
Design and experiment of deep fertilizing shovel for furrow and layering

【Objective】 In view of the problems such as unscientific fertilization method, high resistance in furrow opening and poor effect of fertilizer layered covering, a furrow and deep fertilization shovel was developed, and the automatic driving technology of satellite navigation tractor was used to realize the operation mode of layered deep fertilization for rows, so as to improve fertilizer utilization rate and promote crop growth and increase production.【Method】 The structure of furrow and layered deep fertilizing shovel was designed, and the mechanical condition of ditching shovel was analyzed theoretically.The effect of deep application of fertilizer was analyzed by EDEM simulation software and field verification test.The field comparative test of deep application of base fertilizer by row and row was carried out to compare the growth status and yield of maize under different fertilization modes.【Result】 Through the simulation and experimental analysis, the performance of furrow and layered fertilization shovel operation is stable, the depth stability of fertilizer layered deep application is better, the simulation value of fertilization depth is close to the experimental value, and the layered fertilization mode has a positive role in promoting the growth of maize.【Conclusion】 Field experiments showed that the effect of fertilizer stratification was consistent with the depth of fertilization.The average depth of shallow fertilization was 11.8 cm, and the average depth of deep fertilization was 19.5 cm.Compared with the traditional pattern of deep ploughing, the application of precise row and layer fertilization technology can significantly promote the growth of maize, with an average plant weight of 3% and a yield increase of 8.74%.
PROJECT-BASED EDUCATION IN PRIMARY SCHOOL – CURRENT ISSUES

The proposed article reviews and characterizes the different roles which are performed by the teacher as one of the participants in the pedagogical interaction in project-based learning (PBL ). A comparative analysis is made of the influence of the teacher on the ongoing processes in the pupil group, depending on his role in PBL as a trainer, facilitator or coach in the course of training. The study examines a few models of communication between the teacher and the pupil teams in primary school, who are trained through project activities, contributing to both the acquisition of knowledge and practical skills, as well as the formation of social skills and competences.
FRACTAL PEDAGOGY: THEORETICAL ASPECTS AND ESSENTIAL UNDERSTANDING

The article examines the theoretical aspects and essential understanding of fractal pedagogy as a fundamentally new integrative field of knowledge. The genesis of the concept of “fractal pedagogy” and the views of researchers on the use of fractal systems are considered. It has been determined that the fractal approach is successfully and fruitfully applied in various branches of science. The conceptualization of the ideas of fractal pedagogy contributes to the integration into one logical-semantic space of many structures that have as their goals the development of characteristics and personal qualities in the subjects of the educational process. On the basis of the studies studied, an analysis of the principles that reflect the laws of fractal pedagogy as an integral category is given.
Reversing General 2-Trailer Vehicles Using a 2D Steering Function Model and a Novel Mesh Search Algorithm.

Reversing general 2-trailers is often necessary, but challenging and time-consuming even for professional drivers. Existing approaches in literature attempt to automate such maneuvers based on ideas from control theory. In this work, we propose a fundamentally novel approach for finding steering functions to arrive at a given configuration of vehicle internal angles. Our method is based on a simple steering function model with only two degrees of freedom, and we assume that it models paths of optimally short length for every reachable configuration. To find such a solution, a novel search algorithm is presented as well. Inspired by bisection, it applies a similar idea in 2D parameter space using a mesh graph which is transformed into a topologically equivalent graph in configuration space. The solution is found by an iterative refinement process. The algorithm can be executed multiple times per second on a Raspberry Pi 4, and the resulting steering functions and paths are simple and short.