Reviewerly/exHarmony huggingface dataset:
Ptakopět data: the dataset for experiments on outbound translation

The dataset used for the Ptakopět experiment on outbound machine translation. It consists of screenshots of web forms with user queries entered. The queries are available also in a text form. The dataset comprises two language versions: English and Czech. Whereas the English version has been fully post-processed (screenshots cropped, queries within the screenshots highlighted, dataset split based on its quality etc.), the Czech version is raw as it was collected by the annotators.
Artificial Intelligence and the Future of Dispute Resolution: The Age of AI-DR

This chapter addresses the rise of artificial intelligence (AI) and its implications for the field of dispute resolution. In recent decades, digital technology has re-shaped alternative dispute resolution into online dispute resolution (ODR). In the last few years, ODR has spread to courts, further blurring boundaries between formal and informal dispute resolution, as well as between online and offline avenues of redress. More recently, AI has begun to infiltrate dispute resolution, mostly in the realm of AI-based prediction. With the maturing of ODR and the spread of AI, we can expect the overlap between the two to further evolve in both private and public dispute resolution, giving rise to a new form of dispute resolution, AI-DR. AI is increasingly being employed in a variety of legal and ADR settings and its role can be expected to grow further in the near future. The questions that remain open are the design choices that will be made with respect to AI and the means that will be employed to maximize its contribution and curb the challenges associated with AI-based decisions, recommendations, and predictions. Dispute resolution processes need not only to be efficient but to be fair, trustworthy, and accountable and must be perceived as such if they are to sustain their legitimacy and fulfill their societal role. In the sections that follow, we describe the relevance and current use of AI in dispute resolution, while drawing on particular examples to illustrate the promise and limitations of such use, which can be expected to expand dramatically in the next decade.
Organizational and regulatory framework for creating a healthy and creative environment in management activities based on the supervision skills of managers in the context of modernization of education

This article covers information about the features of the development of professional creativity of managers in a healthy environment of managerial activity. The article also examines the organizational and regulatory foundations for creating a healthy and creative environment in management activities based on the managerial skills of managers in the context of modernization of education, examines the criteria, factors of professional creativity of the manager and his optimal development, indicators of the level of development of professional creativity in accordance with the requirements of the modern education system.
A Literature Review on Agriculture

This paper focuses primarily on the design and application of a new topology in the view of agriculture in modern world. This system presents a web base application to provide assistance and door service to farmers. The goal of the system is to develop and incorporate a system that takes order from remote farmers in terms of soil sample, fertilizer, seeds, crops and provide them door service. The system also has an inbuilt payment gateway to provide hassle-free online payment option
Necessary conditions for the training of future teachers for the spiritual and moral education of school children

The article identifies the socio-pedagogical conditions for improving the training of future teachers for the spiritual and moral education of schoolchildren. The current problems in the field of spiritual and moral education are studied in government documents and research, the necessary conditions for changes in the process of moral education of future teachers, preparation for spiritual life and current trends in world development. learned. It is scientifically proven that the purpose, content and forms of training offuture teachers should be improved for the spiritual and moral education of schoolchildren.
Development of an Ontology-Based Visual Approach for Property Data Analytics

Real estate is a complex market that consists of many layers of social, financial, and economic data, including but not limited to price, rental, location, mortgage, demographic and housing supply data. The sheer number of real estate properties around the world means that property transactions produce an extraordinary amount of data that is increasing exponentially. Most of the data are presented through thousands of rows on a spreadsheet or described in long paragraphs that are difficult to understand. The emergent data visualization techniques are intended to allow data to be processed and analytics to be displayed visually to enable an understanding of complex information and the identification of new patterns from the data. However, not all visualization techniques can achieve such a thing. Most techniques are able to display only visual low-dimensional data. This paper introduces an ontology visualisation methodology to explore the ontologies of property data behaviour for multidimensional data. The visualisation combines real estate data statistical analysis with several high dimensional data visualisation techniques, including parallel coordinates and stacked area charts. By using six residential suburbs in Sydney as a demonstration, we find that the developed data visualisation methodology can be applied effectively and efficiently to analyse complex real estate market behaviour patterns.
Integrated UnderOversampling Responsive based Fetal Health Prediction using Cardiotocographic Data

With the current enhancement of advancement towards pharmaceutical, particular ultrasound strategies are open to discover the fetal thriving. It is analyzed with assorted clinical parameters with 2-D imaging and other test. In any case, success want of fetal heart still remains an open issue due to unconstrained works out of the hatchling, the minor heart assess and lacking of information in fetal echocardiography. The machine learning techniques can discover out the classes of fetal heart rate which can be utilized for prior assessing. With this background, we have utilized Cardiotocographic Fetal heart rate dataset removed from UCI Machine Learning Store for predicting the fetal heart rate health classes.  The Prediction of fetal health rate are achieved in six ways. Firstly, the data set is preprocessed with Feature Scaling and missing values. Secondly, exploratory data investigation is done and the dispersion of target feature is visualized. Thirdly, the raw data set is fitted to all the classifiers and the performance is analysed before and after feature scaling. Fourth, the raw data set is subjected to undersampling methods like NeighbourhoodCleaningRule, OneSidedSelection, RandomUnderSampler, TomekLinks, SmoteENN and SmoteTomek. Fifth, the undersampled dataset by above mentioned methods are fitted to all the classifiers and the performance is analyzed before and after feature scaling. Sixth, performance analysis is done using metrics like Precision, Recall, F-score, Accuracy and running time. The execution is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that the Random Forest classifier tends to retain 98% before and after feature scaling for the undersampling with NeighbourhoodCleaningRule, SmoteENN and SmoteTomek methods comparing to other methods.
An Intensive Exploration of Students’ Problem-Solving Abilities Using a Problem-Solving Learning Model

This research aims to test the problem-solving abilities of students who were taught in different ways, through problemsolving learning and group discussion models.The research design used a quasi-experimental design with a Nonequivalent Control Group Design (NCGD).The research subjects were students of class XI at MA Badrul Arifin Situbondo, who were determined by purposive sampling and obtained two research classes.The experimental group learned with a problem-solving learning model, while the control group learned using a group discussion model.The results showed that those who studied with the problem-solving model had better problem-solving ability than those with the group discussion model.
CALCAREOUS NANNOFOSSILS BIOSTRATIGRAPHY OF JADDALA FORMATION IN WELL (AJEEL-10), CENTRAL IRAQ

A detailed systematic study of calcareous nannofossils was carried out for the Jaddala Formation in (Aj-10) well, Central Iraq. Seventy one species belong to twenty four genera of calcareous nannofossils were identified including sixty two of them were previously named and nine species were identified for the first time and they would not be given names until more information is obtained in the future to support this identification. It is a recorded of five biostratigraphic zone, which suggested the age of the Jaddala Formation to be of early to late Eocene. The recorded biozone includes the following: Reticulofenestra dictyoda (Deflandre in Deflandre &amp; Fert, 1954) Stradner &amp; Edwards, 1968 Partial Range Biozone (CNE 5); Discoaster sublodoensis Bramlette and Sullivan, 1961 Interval biozone (CNE 6-7); Nannotetrina cristata (Martini, 1958) Perch-Nielsen, 1971 Interval biozone (CNE 8); Nannotetrina alata (Martini in Martini &amp; Stradner, 1960) Haq and Lohmann, 1976 Interval biozone (CNE 9); Chiasmolithus gigas Bramlette &amp; Sullivan, 1961Range Biozone (CNE 10-11).
Hubungan Tingkat Pengetahuan Ibu Tentang Remaja Dengan Prestasi Akademik Mahasiswa Diploma III Keperawatan Jakarta

The biggest demand experienced by adolescents is related to his success in the academic field. The success of adolescents in overcoming difficulties related to demands from inside and outside is greatly influenced by adolescent personal maturity. Adolescents who live in families that are able to meet biological, psychological, and social needs will grow and develop healthily, can actualize the potential they have and can learn in solving problems and the tasks they face, including tasks related to academics. The design in this research is descriptive analytic design with cross sectional research approach. The sampling method used in this study was to use purposive sampling, a sample of  98 person mothers. This study uses a chi-square test with an alpha value <0.05. The results found that the P Value value of 0.47 is greater than 0.05 so that the results of this study have no relationship between the level of mother's knowledge of adolescents on academic achievement. Recommendations for further research on the factors of adolescent success in academic achievement.
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Wavelet transform based enhancement of medical images

Now-a-days Radiographic image enhancement is a vital necessity. This paper proposed an algorithm which improves visual quality of X-Ray and MRI image. Dual Tree Complex Wavelet Transform (DTCWT) is used for decomposition of Image. Since edge information is present in High Sub-band Image, so it requires further processing for quality improvement. Quantitative analysis is done by computing Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index Measure (SSIM) and NIQE index
Satisfiability and Algorithms for Non-uniform Random k-SAT

Solving Satisfiability is at the core of a wide range of applications from Knowledge Representation to Logic Programming to Software and Hardware Verification. One of the models of Satisfiability, the Random Satisfiability problem, has received much attention in the literature both, as a useful benchmark for SAT solvers, and as an exciting mathematical object. In this paper we tackle a somewhat nonstandard type of Random Satisfiability, the one where instances are not chosen uniformly from a certain class of instances, but rather from a certain nontrivial distribution. More precisely, we use so-called Configuration Model, in which we start with a distribution of degrees (the number of occurrences) of a variable, sample the degree of each variable and then generate a random instance with the prescribed degrees. It has been proposed previously that by properly selecting the starting distribution (to be, say, power law or lognorm) one can approximate at least some aspect of `industrial' instances of SAT. Here we suggest an algorithm that solves such problems for a wide range of degree distributions and obtain a necessary and a sufficient condition for the satisfiability of such formulas.
Child directed speech: impact of variations in speaking-rate on word learning

This study investigated how caregivers modulate theirspeaking rate according to children’s lexical knowledge andthe context of the interaction, and how such adjustmentsaffect children’s word learning. We studied a seminaturalistic corpus where caregivers talked about differenttoys with their 3-4 years old children. The toys were knownor unknown to the child, and present or absent from theenvironment. We found that caregivers talked aboutunknown toys with a slower speaking rate than known ones.When toys were absent, caregivers also tended to slow downfor the toy’s name, although they produced the wholeutterance faster. Crucially, the results of a subsequentrecognition task for children showed that caregivers’ greateradjustment in speaking rate between known and unknownwords predicted better immediate learning. Our findingssuggest that caregivers modify their speaking rate in ahelpful manner when the situation is more demanding,which assists children in word learning.
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크로스 해프닝: 규칙과 환경이 교차하는 지점에서 일어나는 조직화된 우연 - 1960년대 해프닝과 드론 이벤트를 중심으로

This paper examines the reality of a happening. It is often overlooked that a happening is a type of art which aims to minimize the risks involved in chance and indeterminacy, with attention focused on the aspect of avant-garde art, or of the production of an accidental situation or the induction of immediate acts. However, it is confirmed that a happening in art was intended to organize the opportunities that could arise from unpredictable events that could occur between rules and objects, that is, from encounters with the intrinsic rules of actor and the external environment through avant-garde artists in the 1960s. In particular, the score explains a happening as a chance and improvisation, strictly speaking, a ‘planned coincidence’ and an ‘intended improvisation’ that can only occur if certain rules are given, while they show the diversity of behaviors stemming from the directing and movement not highlighted at the time of the event. This paper confirms similar intersections and encounters in new media art by comparing cases of the use of drones as an unmanned airplane and presents discursive conclusions pertaining to the ‘organized coincidence that takes place at the intersection of rules and the environment.’
Computational Self-Efficacy and Information Skills in Postgraduate Students in Administration at the Times of Covid-19

The objective of the research was to analyze the levels of computational self-efficacy and information skills in postgraduate students in administration at the time of COVID-19 with the aim of determining their relationship in academic performance. The type of study was a quantitative investigation with a correlational scope. The students were the graduate students in administration. The instruments used were two specific questionnaires with a Likert scale of five points each. The main results indicate that, during confinement, students had a frequency of using the laptop for three or more hours with a fixed connection. The level of their computational self-efficacy had an average of 4.55, which is interpreted as a high level where women were valued to a greater extent; while the level of information skills was 4.00 on average, which implies that, almost always, the participants carry out actions aimed at fulfilling the need for information they need to continue their distance educational process during the confinement, regularly using search, use and organization strategies, as well as the evaluation of information sources.
영어교육에 있어 트랜스미디어 스토리텔링 활용을 위한 제언

This study aims to give a suggestion on the application of transmedia storytelling in English education. The increasing success of transmedia storytelling projects worldwide drew the attention of scholars and specialists in language teaching, especially English teaching. Since learners who are accustomed to using digital media, including internet, are often referred as digital natives, transmedia storytelling can be an effective teaching tool for those learners. However, before applying transmedia storytelling to English education, there are some things that need to be considered and developed. First, developing a transmedia storytelling content archive is necessary for teachers to use as teaching materials as well as for learners to use for their self-studies. Second, learning management and evaluation methods should be devised in English education for applying transmedia storytelling. Lastly, we should develop learning activities that can be used in English education classes using transmedia storytelling. Studies that have examined the effects of applying transmedia storytelling to English education should be carried out as soon as possible.
Predict the Crime Rate Against Women Using Machine Learning Classification Techniques

Women are the much-respected person in ancient India, but today Indian women are facing a lot of problems while violence against women is also increasing day by day. From 2011 to 2014, the highest level of crimes against females were recorded in the police department. This is a big problem for our nation. Finally, the government of India has shown an interest in managing this difficulty. Data science is a scientific method extracted from artificial intelligence. This is the combination of machine learning, different types of tools, algorithms, and statistical methods. The combination of data science, as well as machine learning and statastical methods, will process crime data efficiently with good results. In this chapter, we estimate the performance of various machine learning (ML) classification algorithms such as logistic regression, K-nearest neighbor, support vector classifiers, and Gaussian naïve Bayes algorithms implemented on the Crime against Women dataset. Finally, we conclude the results based on the most reliable outcome from converting the imbalanced data to balanced data by using Python.
The Use of Correlation Analysis in the Research of Higher Education in Russian Federation

The research explores the socio-economic factors of higher education on the basis of correlation analysis.The purpose of this analysis is to identify the connection between various factors according to the results of observations of their indicators, along with identifying the measure of their reciprocal impacts.The indicators of higher education in the current research are the number of higher education and scientific institutions, the number of faculty members under the under the undergraduate, specialty, master's programs, graduation of bachelors, specialists, masters.As indicators of socio-economic factors of higher education, the number of unemployed people, per capita income, gross domestic product, advanced production technologies, the volume of innovative goods, work, services.By the research results the authors conclude, that, firstly, the number of students depends on inside university factors (the quality of education, the organization of education process etc.); secondly, higher education does not directly influence scientific activity of organizations and implementation of its development results into practice.Besides mentioned there was the following hypothesis.In particular, it seems, that ruling Russian elite, faced the decrease of gross domestic product and its negative consequences, affected the budget revenues, began to systematically reduce the expenditures of public agencies (including its expenditures on higher education) regardless to economic conjuncture.Meanwhile, the current situation accompanies by the desire of the ruling elite to significantly enhance the national scientific potential.This hypothesis needs to be verified, which the authors will check in further studies.
Recipes for Common R Tasks

Load the following packages to execute the code in subsequent sections: library(tidyverse) library(readr) library(datasets)
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Things could get a lot easier in your place of work by simply choosing to use a wireless keyboard and mouse. I had just cleared up some desk space in ...
Impact Of Mobile Computing On Rural Community For Health Care

Paper explains about n use of computing middleware in context of health-care. Mobile technologies are increasingly growing in developing countries like India and other also. Nowadays is becoming an important Computer and Information Technology tool which is not only in used city areas but also used in remote and rural areas. The rapid advancement in the technologies, easily of use and the falling costs of devices, make the an appropriate and adaptable tool to bridge the digital divide. Many of these new mobile citizens live in poorer and more rural areas with scarce infrastructure and facilities, high illiteracy levels, low PC and internet penetration. The availability of low-cost phones and the already broad coverage of Global System for Mobile networks in India is a huge opportunity to provide services that would trigger development and improve people’s lives. This paper explores the present status of health care systems and its shortfalls in Primary Health Care Management in rural area, and as a potential solution to fill it with the application of Mobile Web technologies for Primary Health care management.
ORGANIZATIONAL AND PEDAGOGICAL CONDITIONS FOR DEVELOPMENT OF RESEARCH COMPETENCY OF FUTURE PHYSICS TEACHERS AT LABORATORY LESSONS

The article covers the organizational and pedagogical conditions for the development of research competence of students in laboratory classes. It provides the methodology of the educational research and the requirements for the presentation of the obtained results, as well as the organization of the activities of the teacher and students in laboratory classes. Also it contains the stages of the educational research at the empirical level, where the objectives of the development of research competence are the orientation of the educational activity to understand and recognize the professional significance of research competence, as well as attracting students to the research activities of the department, aimed at consciously mastering the basic knowledge and skills in the field of scientific research. The characteristic of students' research competence is given, as the competencies are formed performing laboratory work.
Wolfgram Subject Guides: Scholarly Communication: Scholarly Publishing

Scholarly communication is the system through which research and other scholarly writings are created, evaluated for quality, disseminated to the scholarly community, and preserved for future use (ACRL, 1996-2021).