Reviewerly/exHarmony huggingface dataset:
Collective training on individual programs: worldview, concept and practices

The author proposes to consider the relationship of social and individual in the form of a triangle with vertices: «loneliness among others,» «all as one» («system»), «complex cooperation of personalities». Individual and truly collective are in a relationship of unity and harmony, and do not confront each other. There is a danger of choosing from two evils: the pole of absolute autonomy or the pole of personal-social unification. Meaningful socialization has two alternatives: «system» and «collective». The need to build educational communities on a collectivist basis is due to political, socio-pedagogical and psychological reasons. The worldviews of pedagogical activity in the system of collective education are revealed, in particular, the value principle «Man is the main goal and the main means of a fruitful educational environment», the activity principle «Everyone is the goal, everyone is the means», the principle of joint existence «Cooperation is the leading type of relationship». The individual educational program is interpreted as the student's ideas about his upcoming educational activities, formed by him in collaboration with other students and teachers. An individual program differs from a «single» program, compiled by a student individually or paired with a tutor, and then implemented autonomously or according tothe principle of a supermarket. In the individual program, educational, club and production blocks are allocated. Conceptual provisions on the system of collective education are disclosed: specific principles of training organization; basic processes (educational, club, production, reflexive-planning); structural units – temporary cooperation of students and teachers, permanent detachments of students, a council of commanders, teacher cooperation, a general gathering of the team; special morphology of teachers – subject, «duty» teacher, didacto-technician, assistant. Four levels of organization of collective education are distinguished: samples, alternating training, constant training in individual segments of an educational institution and collective training throughout the institution. Practical options are called, in particular, a subject-methodological vacation school, multi-day immersion, a «day» without classes and lessons, a different-age group on one subject, a different-age group in the afternoon, a different-age team of a full day.
Speech and language competence as a basis for functional classification of the world languages

International scientific and practical conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings, May 28–29, 2021. Wloclawek: «Baltija Publishing». 151 pages.
mvlearn: Multiview Machine Learning in Python

As data are generated more and more from multiple disparate sources, multiview data sets, where each sample has features in distinct views, have ballooned in recent years. However, no comprehensive package exists that enables non-specialists to use these methods easily. mvlearn is a Python library which implements the leading multiview machine learning methods. Its simple API closely follows that of scikit-learn for increased ease-of-use. The package can be installed from Python Package Index (PyPI) and the conda package manager and is released under the MIT open-source license. The documentation, detailed examples, and all releases are available at this https URL.
To Decrease the Issue of False Alarm Rate by Providing Authentication &amp; Thus Improving the Efficiency of Intrusion Detection System by Comparing the Result of Filtered Clusterer Algorithm Make-Density Based Clustering Algorithm without Attribute Count

The Intrusion Detection System sends alerts when it detects doubtful activities while monitoring the network traffic and other known threats. In today’s time in the field of Cyber security Intrusion Detection is considered a brilliant topic that could be objective. But it might not remain objectionable for a longer period. For understanding Intrusion Detection, the meaning of Intrusion must be clear at first. According to the oxford’s learners dictionary “Intrusion is the act of entering a place that is private or where you may not be wanted”. For this article, here it defines intrusion as any un-possessed system or network festivity on one (or more) computer(s) or network(s). Here is the example of a faithful user trying to access the system taking more than the usual trial counts to complete his access to the particular account or trying to connect to an unauthorized remote port of a server. The ex-employee who was being fired lately can provoke intrusion or any authentic worker can also provoke intrusion or any other person from the outside world could perform it. In this clause, the average data is found as the attack which is considered as the case of false positive. In this paper, the main focus is on the illustration and a solution offered for the same problem. Here we are using the KDD CUP 1999 data set. According to the outcome, the anomaly class is the one that has a higher number of counts than this class. Even if it is the true user trying to get access but the outcome is an anomaly due to the high number of counts in the class. This paper introduces a solution for the detection of a true person and eradicates the false positive.
Parents' Socioeconomic Status on Student Achievement

Abstract The socioeconomic status of parents is a person's ability to meet all daily needs and school needs for children so that the children's school fulfillment can be fulfilled. The purpose of this study was to determine the effect of parents' socioeconomic status on the learning achievement of senior grade students at Manufui State Senior High School, Biboki Selatan District, North Central Timor Regency. This research is quantitative. The sample used in this study was the total sampling technique and the population taken in this study were all of the tenth-grade students at Manufui State Senior High School, South Biboki District, North Central Timor Regency with a total of 101 students. The data collection instruments were documentation of student achievement and a questionnaire on the socioeconomic status of parents. Hypothesis testing uses a simple linear regression test. The results showed that there was an influence between the socioeconomic status of parents on student achievement with a significant value of si (p) of 0.005 &lt;0.05, with an R Square value of 12.6 %, while the rest was influenced by other factors.&#x0D; &#x0D;
Educational Motivation Development by Means of Digital Information and Communication Technologies

The article determines the main aspects of educational motivation development by means of digital information and communication technologies. The methodological basis is self-determination theory. It is noted that self-determination theory plays a main role in motivation forming. The levels of formation of educational motivation were determined by means of test questionnaire “Research of volitional self-regulation”. Based on the data obtained, it was concluded that motivation for learning is a rather difficult and ambiguous process of changing the person’s attitude, both to a particular subject of study and an entire educational process.
Causes and Consequences of Reforming in Electricity Production and Consumption Pattern on Promoting Sustainable Development in Iran: An Economic Analysis

In line with the 2015 Paris Agreement, the present study examines the efficiency of Iran's electricity industry compared to world standards.In 2018, Iran is ranked second in the world in terms of direct subsidies to the electricity industry, while subsidies for fossil fuels as the main feedstock for power plants are also higher.The results of the study indicate that despite the privatization of the electric industry since 2005, centralized economic management and the provision of extensive direct and indirect subsidies have led to the expansion of inefficiencies in the production and consumption of electricity.Lack of cost-based pricing is a major factor in the production of inefficient units and the determination of electricity prices at very low levels (as a result of subsidies) is the main reason for the inefficient use of electricity in Iran.The undeniable role of fossil fuels in energy production has stabilized Iran's second-largest power plant sector in CO 2 emissions in the Middle East, and as a consequence of no noticeable changes in the energy production process, the carbon intensity index and carbon intensity for electricity consumption, have fluctuated slightly.However, the energy intensity and energy intensity for electricity consumption, unlike the developed countries, have shown an upward trend, indicating a decline in energy and electrical energy efficiency in the Iranian economy.The index of fundamental reforms in electricity production, exactly the reverse of the successes in Iceland, Switzerland, Norway, Sweden and Luxembourg, is less than 8%, which is against sustainable development goals.It is crucial to take advantage of countries' successful experiences in electricity price reform and to address the four key components proposed.
USE OF INNOVATIVE FORMS OF TRAINING IN TEACHING RUSSIAN AS A FOREIGN LANGUAGE IN KAZAKHSTAN

The article considers innovative forms of studying and teaching Russian as a foreign language, methods of using new technologies in the practice of teaching non-native language, advantages and disadvantages of new multimedia educational systems. Since teaching a foreign language is, first of all, a communicative activity of students, the teacher needs to intensify the activity of each student in the process of mastering new lexical forms and structures, create living situations for their creative activity. To date, there are many non-standard forms of teacher work that increase the attention and interest of students in both foreign language and culture, history and spiritual heritage of the language studied. This article presents several types of innovative working methods when studying texts, vocabulary and performing practical tasks in a foreign audience.
Quality Extended Use Case Point (QUCP): An Improved Cost Estimation Method﻿

The quality of a product is one of the major interests of the manufacturing process in all industries. The software industry imposes to construct a project with several phases to ensure producing high-quality software. A software development company estimates time, effort and cost of the project during planning phase. It is important to have accurate estimations to reduce the risks of project failure. Several cost estimation methods are practiced in the software development companies such as Function Point (FP), Use Case Points (UCP), Constructive Cost Model I and II and Story Points (SP). UCP cost estimation method is taken in this research to improve the accuracy of its estimation. UCP estimation depends on the use case diagram of the proposed system. A use case diagram describes the main functional requirements of the proposed system. UCP partially considers non-functional requirements through the technical and environmental factors. There is a lacking in the UCP method to consider the importance of quality attributes in the estimating process. This paper proposes an extended version of the existing UCP method named Quality Extended Use Case Point (QUCP) method in which quality attributes are included to improve the accuracy of cost estimation. A questionnaire is used to validate the proposed QUCP method. It is found after data analysis that seventy five percentages of the participants are agreed that the proposed method will not only help to improve the accuracy of cost estimation but it will also enable a software development company to deliver high-quality products.
Business Process Improvement at Rosokku

Rosokku is a technology-based startup that collects and processes waste (paper-based). Rosokku takes paper-based waste based on customer requests. And for this pick-up, there has been an agreement with the customer about the day of the pick-up beforehand. The convenience of this process (people throw away their paper waste and at the same time they get money) has started to rise in demand from the community, especially among college students. Up to this day, Rosokku has used media such as WhatsApp and Instagram to engage with its clients so far. As the number of clients has risen, in deciding the pick-up schedule, rosokku has begun to become overwhelmed. There is a lot of data that is not well documented. The team began to have difficulty tracking their financial transactions as well. Therefore, this research aims to solve these problems by reviewing existing business processes and developing new business processes to improve current business processes (conduct gap analysis). The results of this research are new business processes that will be implemented later on to the application (functional requirement).
To Create Emoji from Facial Expression using Python

A developing assemblage of exploration investigates emoticons, which are visual images in computer mediated communication (CMC). In a long time since the original set of emoticons was delivered, research on it has been on the expansion, yet in a variety of directions. We inspected the extant group of exploration on emoticons and noticed the turn of events, utilization, capacity, and use of emoticons. The increasing use of emojis, digital images which can represent a word or feeling during a text or email, and thus the undeniable fact that they're going to be strung together to make a sentence with real and full meaning raises the question of whether or not they are creating a replacement language amongst technologically savvy youth, or devaluing existing language. there's however an extra depth to emoji usage as language, suggesting that they're actually returning language to an earlier stage of human communication. Parallels between emojis and hieroglyphics and cuneiform are often seen which indicates the universality of communication forms, instead of written alphabetized language. There additionally are signs that emoticons could likewise be social or gender explicit with signs that women utilize a greater number of emoticons than men to exact their sentiments which age is a smaller amount of an indicator of usage than technological awareness and capability. It appears that emojis are filling the necessity for adding non-verbal cues in data communication about the intent and emotion behind a message. Furthermore, emojis are devices for demonstrating tone, intent and feelings which may normally be conveyed by non-verbal cues in personal communications but which cannot be achieved in digital messages. It's also evident from prior works and analyses of usage that there are universal meanings to Emojis. This means that as a language form, emojis could also be ready to contribute to increased cross-cultural communication clarity. Further research is however recognized as being necessary to completely understand the role that emojis can play as a clear language for all generations, not just those termed millennials or technologically savvy youths. With advancements in computer vision and deep learning, it's now possible to detect human emotions from images. During this deep learning project, we'll classify human facial expressions using Convolution Neural Network to filter and map corresponding emojis or avatars.
The Effects of Social Support and Communication with Parents on Eating Attitude of Nursing College Students

The purpose of this study is to identify the effects of social support and communication with parents on eating attitude of nursing college students.Data were collected from April 23 to September 15, 2018, self-questionnaires from nursing college students.The collected data were analyzed using ttest, one way ANOVA, Pearson's correlation coefficient, and multiple linear regression analysis.In this study, it was found that the more depressed the mood state (β =.35, p<.001) of nursing college students' eating attitude and the negative communication with the father (β=-.30,p<.001), the higher the abnormal eating attitude.The variables accounted for 20.1% of abnormal eating attitude.Based on the results of this study, a screening test for depression is necessary in order to detect nursing college students with early abnormal eating attitudes and postitive communication with the father will improve the abnormal eating attitude.
Decision Tree dalam Menganalisis Data Pengunjung Wisata Danau Poso untuk Pengambilan Keputusan

This study uses a classification system in managing its data. In classification there are several methods provided, one of which is the decision tree method with the C4.5 algorithm this method means a decision tree where the structure is the same as a flowchart where each node signifies an attribute test, each branch presents the test results and the leaf node represents the class or class distribution. The data used is the data of Lake Poso Tourism visitors from 2009 to 2020, then the method used in this study is divided into several stages, namely the data being studied, analyzing the data, transforming data and designing a decision tree with the C4.5 algorithm. The results achieved from this study are that the number of visitors more than 28,984 has a description of "Much" which is dominated by local tourists, while the value with the name "Less" is in foreign tourists. This is one of the important points in determining the right strategy for developing tourism in Lake Poso.
PERAN PERPUSTAKAAN TERHADAP PENINGKATAN LITERASI INFORMASI MAHASISWA PROGRAM STUDI KEPERAWATAN PEKALONGAN POLTEKKES KEMENKES SEMARANG DI MASA PANDEMI COVID-19

Background and Research Objectives - In Indonesia, information literacy coincides with the phenomenon of illiteracy and low reading interest. The library as an educational institution plays an important role in increasing information literacy in the world of education. Likewise, libraries in Higher Education are very important in supporting the Tri Dharma of Higher Education. This study aims to determine the role of the Pekalongan Nursing Study Program Library in increasing information literacy, as well as to determine the benefits of information literacy for students during the Covid-19 pandemic.Methodology - This research is descriptive quantitative in nature. A total of 70 respondentswere recruited by means of accidental sampling to measure the role of the library. The questionnaire was made referring to library standards and was developed based on the Likert scale. After the data is collected, it is processed and presented in tables and graphs. Furthermore, the data are descriptively categorized into interval scales, namely: 1) very good (3.28-4.03), 2) good (2.52-3.27), 3)less good (1.76-2, 51), 4) not good (1.00-1.75).Research Results - The results of the research that have been achieved with respondents, namely students of the Poltekkes of the Ministry of Health in Semarang, level 2 and level 3 of the Pekalongan Nursing Study Program, which have been carried out since June 2020, show that the role of libraries in student information literacy during the Covid-19 pandemic in Pekalongan Nursing Study Program, Poltekkes Ministry of Health Semarang with "enough" results as many as 61 respondents (87.1%).Conclusions and Suggestions - The characteristics of respondents in the research on the role oflibraries on student information literacy were dominated by female sex with a total of 61 respondents (87.1%). The role of libraries in student information literacy during the Covid-19 pandemic resulted in 61 respondents (87.1%) in the "adequate" category. It is necessary to develop further research on the role of libraries in information literacy by increasing the number of respondents in addition to students as well as teaching staff and educational staff. Besides that, also by deepening the research questionnaire that was distributed to respondents. Keywords: Information Literacy, Role and Utilization of Libraries
Pemodelan Hubungan Kepadatan Penduduk dan Indeks KualitasUdara (IKU) di Indonesia Menggunakan Regresi Kuantil Smoothing Splines

The level of pollution in Indonesia is in the top 10 worst in the world. Judging from the Air Quality Index (IKU), there are 9 provinces that have KPI values ​​below the expected target. This paper aims to perform IKU modelling using the population density variable as a predictor variable. Modelling using linear regression in the parametric method cannot be used because the model residuals are not normally distributed, so a nonparametric smoothing splines approach is carried out. However, the presence of outliers in the smoothing splines residual model causes the residuals of the model to be too large so that it affects the prediction accuracy, so the smoothing splines quantile regression is used in the IKU modelling. Apart from using the median (quantile τ = 0.5), the quantiles of 0.2 were also used; 0.4; 0.6; and 0.8 to generate models at various quantiles. The results of the analysis using the R package quantreg Software prove that the smoothing splines (median) quantile regression model is more robust against the presence of outliers seen from the lower RMSE value than the smoothing splines regression model (mean). In addition, it is concluded that there are 5 provinces that are below the quantile 0.2, which means that the IKU level is very low or there is very high pollution based on the level of population density. Likewise, there are 3 provinces with KPI values ​​above the quantile of 0.8, which means they have very high IKU levels or areas with low levels of pollution.
eLighting up the future

Abstract What will be the cutting-edge photonics research in the coming decade? Prof. Chen and Segev share their perspective by highlighting quantum, topological, and AI photonics on eLight .
IN THE STRUCTURE OF MOTIVATION OF UNIVERSITY STUDENTS, THE LEARNING OF MOTIVATION TO ACHIEVE SUCCESS AND MOTIVATION OF FEAR OF FAILURE

The article analyzes motivation as one of the fundamental problems in psychology. Here, an important place in pedagogical research is occupied by the study of behavior, motivation, especially educational motives. Effective social and pedagogical interaction with a student can not be carried out without taking into account the peculiarities of his motivation. For objectively similar actions of students (for example, the desire to study well), there are various reasons (the desire to become a good specialist, the fear of losing a scholarship, the desire for respect in the group, etc.). Educational motivation is systemic in nature and represents a hierarchy of motives, where one or another group of motives prevails. The phenomenon of transformation of motivational processes, manifested in the process of transition from quantity to quality, in the field of education. Multiple loads of various disciplines of professional specialization lead to the formation of a stereotype in a particular state, reflecting psychological adaptation in the process of multiple educational activities.
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data Under Communication Constraints

In this paper, learning of tree-structured Gaussian graphical models from distributed data is addressed. In our model, samples are stored in a set of distributed machines where each machine has access to only a subset of features. A central machine is then responsible for learning the structure based on received messages from the other nodes. We present a set of communication-efficient strategies, which are theoretically proved to convey sufficient information for reliable learning of the structure. In particular, our analyses show that even if each machine sends only the signs of its local data samples to the central node, the tree structure can still be recovered with high accuracy. Our simulation results on both synthetic and real-world datasets show that our strategies achieve a desired accuracy in inferring the underlying structure while spending a small budget on communication.