Reviewerly/exHarmony huggingface dataset:
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification

To cope with high annotation costs, training a classifier only from weakly supervised data has attracted a great deal of attention these days. Among various approaches, strengthening supervision from completely unsupervised classification is a promising direction, which typically employs class priors as the only supervision and trains a binary classifier from unlabeled (U) datasets. While existing risk-consistent methods are theoretically grounded with high flexibility, they can learn only from two U sets. In this paper, we propose a new approach for binary classification from $m$ U-sets for $m\ge2$. Our key idea is to consider an auxiliary classification task called surrogate set classification (SSC), which is aimed at predicting from which U set each observed data is drawn. SSC can be solved by a standard (multi-class) classification method, and we use the SSC solution to obtain the final binary classifier through a certain linear-fractional transformation. We built our method in a flexible and efficient end-to-end deep learning framework and prove it to be classifier-consistent. Through experiments, we demonstrate the superiority of our proposed method over state-of-the-art methods.
L2 영어 학습자의 결과구문 생성의 용법기반 분석(Usage-based Analysis) : 한국인 예비대학생 작문 코퍼스 분석을 중심으로

This study explores whether the usage patterns of English resultative constructions in argumentative essays written by Korean EFL learners follow the usage-based perspectives. The present study used two corpus-based analysis to investigate the usage patterns of four types of English resultatives among different proficiency levels as well as the range and frequency of verbs that learners used in the target constructions. Multiple Chi-square analyses showed that the usage of both transitive and intransitive resultative constructions gradually increases as learner's proficiency increases. Also, it is indicated that EFL learners were more likely to produce the resultatives denoting change of property with increasing proficiency. In addition, results showed that as learners’ proficiency was higher, they employed less frequent and more varied types of verbs in the target construction. The overall results obtained from the current study suggest that L2 development of English resultative constructions reflects a usage-based developmental tendency similar to that of L1 children.
Online Learning: A View from Higher Education

The increased number of students, technological development, new learning theories and personal needs have led to the introduction of online learning and vis-à-vis learning from home. Online learning has recently been very popular (especially considering the COVID-19 situation and lockdown) and learning from home for everyone as they stayed out from the university and did home learning to keep them educationally updated. Almost every university in Britain and around the world has adopted online teaching using various technological tools to keep their pupils updated and ahead on the crowd. Most of the higher educational institutions also considered delivering their regular programmes online. While assessing the importance of home learning with the parents, it was evidenced that parents agreed on flexible learning (often refereed to online leaning and home learning) because they think online learning has made education effective, it has been considered as a motivation factor in terms of self-efficacy. However, from the personal experience of teaching and learning it was truly evidenced that there are lot differences between the traditional and online learning. In traditional learning the teachers have the full control on class management and to the learning environment. In traditional learning, the teacher’s ability, personality, quality, adaptation, learning situation, and the creation of course materials affect the learning-teaching performance, which is quite different in online/e-learning situations. In this article, we are trying to address the approaches of learning in the higher education sector, including the concept of online learning and highlight some common obstacles
English Paper For SYBSc and SYBSc Computer Science

About Author: Mrs.Pratima ChavanHead,Department of EnglishDr.D.Y.Patil Arts,Commerce & Science College,Pimpri,Pune-18
Use of Web Based Information Resources by the Faculty Members of Engineering Colleges in Mysuru Region: A Study

The present study examines the purpose of use web resources, use of various types of web based information resources, frequently and benefits of use of web information resources, use of search engines for accessing eresources, preferred method to read electronic resources, search option preferred for accessing web based information resources, extent of use of field based search methods, extent of use of advanced search facilities and factors influencing the use of search engines among the faculty members of Engineering Colleges in Mysore Region.The study indicates that the most of the faculty members of engineering colleges are aware of various types of e-resources and search strategies for searching the relevant information from the web.The article concludes with appropriate suggestions to improve use of web based information resources by the faculty members.
Mutator VR at Kinninji Buddhist Temple

MutatorVR was on display at Kinninji Buddhist Temple, Kyoto in March 2019 as part of the Art Innovation conference.William Latham talked at the conference about the history of his pioneering Mutator art, which was used to develop the immersive VR experience through DC Labs. Consisting of Mutation Space and Vortex, and based on evolutionary artwork of William Latham and Stephen Todd from the late 1980s, they immerse the viewer in a multitude of alien worlds with evolving forms resembling sea anemones, ancient ammonites and multi-horned organisms with which they can interact. Bred and crossbred in software from multiple parents, the bizarre forms are created by a process of artistic evolution driven by human aesthetics. The aim is to give viewers a surreal and immersive experience in which they shape the world around them.MutatorVR continues to evolve, with discussions ongoing with the AI experts in DC Labs around the use of machine learning algorithms to assist with the large-scale multidimensional parameter spaces common to procedural content generation. The outcome is to make it easier to set up and control the growth of the evolutionary forms and new ideas, to create a shared interactive VR space where two people collaborate to create the experience.
A Study on the Individual Factors Affecting the Performance of the Subjects in the Man-Machine Foreign Language Oral Test

Preference for oral test mode, test anxiety, self cognition of foreign language ability and foreign language acquisition background are several important factors affecting the performance of the subjects in an oral test.In this study, ten undergraduates and six teachers were recruited as subjects and examiners respectively to organize a simulated oral English test based on man-machine mode.The statistics and analysis of the experimental data show the following findings.Firstly, there is a slight significant difference between the preference degrees of advanced and intermediate English learners on man-machine mode, and the preference of the former is higher than that of the latter.Secondly, the subjects generally feel nervous and anxious in the test.Moderate anxiety actively promote the performance of candidates in the test.Thirdly, Subjects' self-assessment was significantly lower than examiners' scoring on them.It is speculated that the man-machine oral test reduces the subjects' recognition of their English ability, which is a negative impact on their foreign language acquisition process.Fourthly, the more hours the subjects spend learning and using English daily, the better they perform in the test.Repeated reinforcement of foreign language knowledge accelerates the process of acquisition.
Conformal Prediction with <b>Orange</b>

Conformal predictors estimate the reliability of outcomes made by supervised machine learning models. Instead of a point value, conformal prediction defines an outcome region that meets a user-specified reliability threshold. Provided that the data are independently and identically distributed, the user can control the level of the prediction errors and adjust it following the requirements of a given application. The quality of conformal predictions often depends on the choice of nonconformity estimate for a given machine learning method. To promote the selection of a successful approach, we have developed Orange3-Conformal, a Python library that provides a range of conformal prediction methods for classification and regression. The library also implements several nonconformity scores. It has a modular design and can be extended to add new conformal prediction methods and nonconformities.
POSSIBILITIES OF INTERNET TECHNOLOGIES IN THE PROCESS OF FORMATION OF PROFESSIONAL SKILLS OF FUTURE PRIMARY SCHOOL TEACHERS

The article deals with the problem of training teachers with a high level of professional culture, fluent in modern educational technologies. The authors substantiate the thesis that the implementation of educational disciplines through Internet technologies and resources should contribute to improving the efficiency of training of future primary school teachers. The development of Internet technologies in the classroom at the University will further apply them in their teaching activities. The authors carried out a theoretical analysis of the concepts of "competence", "technology", "internet technologies", "information literacy". The authors reveal the possibilities of using Internet technologies and resources in the process of formation of professional skills of future primary school teachers. The article presents the results of a survey of students on the effectiveness of the use of Internet technologies, on the basis of which the authors draw conclusions about the pedagogical conditions of the use of Internet technologies in the educational process of higher education.
HUBUNGAN PERHATIAN ORANG TUA DAN MOTIVASI BELAJAR TERHADAP HASIL BELAJAR MATEMATIKA SISWA

This study aims to determine the influence of parental attention and learning motivation on mathematics learning outcomes of seventh-grade students of SMP Negeri 1 Pematangsiantar. Parental attention and learning motivation data obtained from an instrument in the form of a closed questionnaire distributed online via google form with good quality because it is valid and reliable. Meanwhile, students' mathematics learning outcomes were obtained from the school's documentation of grades. The test results show that there is a direct effect of parental attention on learning motivation with a t-count of 2.1309 and a significance level of 0.08325; there is a direct effect of parental attention on student mathematics learning outcomes with a t-count of 2.42875 and a significance level of 0.13768; there is an indirect effect of learning motivation on student mathematics learning outcomes with a t-count of 2.58298 and a significance level of 0.14988; there is an indirect effect of parental attention and learning motivation on mathematics learning outcomes. As for the contribution given by parents' attention and learning motivation to mathematics learning outcomes was 28.75% and the total effect was 42.327%. Therefore, the higher parental attention and student motivation, the higher the learning outcomes.
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement

In representation learning, there has been recent interest in developing algorithms to disentangle the ground-truth generative factors behind a dataset, and metrics to quantify how fully this occurs. However, these algorithms and metrics often assume that both representations and ground-truth factors are flat, continuous, and factorized, whereas many real-world generative processes involve rich hierarchical structure, mixtures of discrete and continuous variables with dependence between them, and even varying intrinsic dimensionality. In this work, we develop benchmarks, algorithms, and metrics for learning such hierarchical representations.
Report of the Ad-hoc Review of the Commission for the Management and Application of Geoscience Information, CGI, October 2019

European Federation of Geologists) and Helen M c Kenzie (Sellafield Limited) to review the Commission for the Management and Application of Geoscience Information (CGI) with the main goals of:i. Analysing performance since the establishment of the Commission in 2004;ii. Assessing the alignment of the work of CGI with the objectives and aims of IUGS;iii.Identifying ways to increase the impact and significance of the Commission, including concrete objectives, for the near future.2. We convened in London at the Geological Society on 14/15 October 2019.
COGNITIVE TURN IN SOCIETY AND SOCIAL SCIENCES AND HUMANITIES

The review analyzes a new cognitive trend in the social sciences and humanities. It is argued that digital communication technologies, which have formed a global information society with an unprecedented level of social self-organization, have created a public demand for a broad democratization of knowledge. It is shown that in response to this demand, social and human sciences are forced to adjust their theoretical, methodological and methodical tools accordingly.
Mathematical Expression Plotter using C#/C++

Our project will accept a user’s mathematical expression and plot a graph based on solution of the expression. We took this project because it has better practical use of data structures and GUI. We will be developing an user friendly GUI which will attract the user and make it efficient to use. In depth knowledge of C is also one of the reasons we opted for this project. C is a low level language and it will help us to understand the machine level impact of each command and each function that we will be developing in this project.Firstly we will be developing a C parser which will break down the user’s expression into smaller parts. Secondly an user friendly GUI which will allow the User to enter a particular query. Further will be different function and a graph will be plotter based on its solution
Consensus Algorithms for Highly Efficient, Decentralized, and Secure Blockchains

This paper about blockchain technology introduces its theory, implementation, and applications while focusing on the types of consensus algorithms. The methodology is linguistic and consists of a comparative analysis of the most popular algorithms. This paper is part of a broader effort to make these concepts more accessible and help develop an environment where students can grow and be part of this technological revolution. Students with a background in algorithmic programming are uniquely suited to tackle highly impactful questions about the algorithms underpinning blockchains. After reading this paper, students should be able to build their own implementation of a blockchain and start doing research into this technology.
The Relationship Between the Role of Parents and Children's Learning Motivation During the Covid 19 Pandemic at SD IT Cahaya Hati Pauh Kambar Padang Pariaman Regency

This research was motivated by the low learning motivation of children at SD IT Cahaya Hati Pauh Kambar, which is thought to have something to do with the role of parents in educating children. The purpose of this study was to reveal a description of the role of parents in educating children, learning motivation of children at SD IT Cahaya Hati Pauh Kambar, and to determine the relationship between the role of parents and children's learning motivation during the Covid 19 pandemic at SD IT Cahaya Hati Pauh Kambar. This type of research is a descriptive correlational study with a quantitative approach. The population of this study were all students in grade III, amounting to 100 people consisting of 4 (four) local at SD IT Cahaya Hati Pauh Kambar and a sample of 40%, namely 40 people with a sampling technique that is cluster random sampling. The data collection technique used was a questionnaire and the tools used were questionnaires. The data analysis technique uses the percentage formula and the product moment. The results of this study indicate that: 1) the role of parents in educating children is low; 2) the learning motivation of children at SD IT Cahaya Hati Pauh Kambar is low; 3) there is a significant relationship between the role of parents in educating their children and their motivation to learn at SD IT Cahaya Hati Pauh Kambar. The suggestion of this research is that it is hoped that the parents of SD IT Cahaya Hati Pauh Kambar children will further enhance their role as educators, encouragement, facilitators, and mentors while accompanying children while studying at home.
헝가리어 부정사구 InfP의 통사구조：PRO와 pro

This paper aims to analyze the syntactic structure of infinitive construction and the word-order of sentences with infinitives in Hungarian within the frame of the X'' theory by Alberti Gabor and Medve Anna(2005). Hungarian infinitive has a non-finite verbform, V-ni, which can be inflected in certain constructions by the conjugation of the personal suffix of its agent. Thus according to its morphological form, the Hungarian infinitive construction has covert arguments PRO, PROarb, and pro. The infinitive phrase has its own argument-structure, and functions as a specifier of VP, which forms a semantic unity with its verb. The word-order of infinitive sentences shows grammatical characters in Hungarian, such as the dis-continuity of the infinitive construction from the compound verb-form, and the scope of argument-move by the non-lexical categories, such as topic, focus in inflected infinitive-sentences.
The Relationship between Body Mass Index and Mental Image of the Body with Mental Health in Adolescent Girls

The Relationship between Body Mass Index and Mental Image of the Body with Mental Health in Teenage Girls
Foundation News: SEG student programs — Empowering future geoscientists

The leaders of tomorrow are being educated today. We are in an age when all students need high levels of literacy and proficiency as well as a range of soft skills for a successful future. SEG is committed to providing its student members with authentic, unique, and innovative learning experiences that will foster the development of these essential skills as they grow into their geophysical careers. The following information reflects the impact that SEG student programs had in 2020 throughout our global geophysical community.
Proposal of Automatic Dust Catcher Robot of Clothing

People remove dust and animal hair on clothes by themselves every day. It consumes a lot of effort and time. Therefore, we propose a system that automatically removes dust from clothes hanging on hangers with a brush. This system uses two brushes. At first, two brushes press the top part of both sides of clothes hanging on the hanger. Next, move the brush from top to bottom to remove dust. In addition, by moving the brush sideways and repeating the action of removing dust, dust can be removed from the entire clothing. This system can save labor every day.
Digital Learning Library Reconstruction for Early Childhood Education

The reconstruction of the digital learning space for ealy childhood education an important role in learning the Indonesian. One of them in childhood literacy learning. Aside from being a source of learning for the learning community, childhood literacy is also the basis for childhood competing in the revolutionary 4.0 era, ranging from infrastructure development, expansion and learning performance which will become an asset of Indonesia. Simultaneous collaboration efforts with multi-effect players are needed to improve the public literacy index. One of the efforts is through the Reconstruction of digital library learning for early childhood education. The analysis technique in this research is the content analysis.
Secureye - ATM Trajectory Based Anomaly Detection System

An ATM is an important measure of our day-to-day activities and people using ATM keep on increasing. Conversely, utmost ATM Machines are inclined to a security risk, security breach, although every ATM is fitted out with CCTV installation. To improve ATM security and to shelter ATM centers from untoward incidents, a new form of security framework needs to be acknowledged. Incorporating image processing in video surveillance systems is a stimulating task that has been tried for the past more than a few decades. Most of the existing systems are prone to provide security for ATMs due to their different environmental conditions like illumination and camera view or crime devices.This article reviews the previous research using image processing applications that can be used in the ATM-CCTV surveillance system. Here we are introducing a system that can provide more security compared to the existing systems.
Artificial Intelligence based CHATBOT for PMIST websites

A chatbot is used as an agent to communicate with an individual. This may be text-based, or an communicated dialog (within the occasion of voice-based request).Talk bots are fundamentally utilized for data obtaining. It can run on the neighborhood PCs and cell phones, however more often than not it is gotten through the web. Our main aim of this task is to break down client's questions and comprehend client's messages, to give a response to the query of the client exceptionally compellingly, to save the hour of the client since she/he doesn't need to actually go to the institution for request. This framework will assist the understudy with being refreshed about the school exercises. The framework will answer utilizing a compelling GUI which infers that as though a genuine individual is conversing with the client. PMISTBOT is an astute framework created utilizing man-made brainpower (AI) and regular language handling (NLP) calculations. It has a compelling UI and it helps to answer the questions identified with assessment cell, confirmation, scholastics, client's participation and grade point normal, arrangement cell and other different exercises.
MODERN APPROACHES IN BACKEND DEVELOPMENT ON THE EXAMPLE OF THE ONLINE STORE

The article discusses modern approaches and technologies in the development of server applications using the example of an online store. Methods for solving the main tasks encountered in developing the server part of the client-server application using the rest architectural style are presented. The internal structure and logic of the Spring framework and the Liquibase, Hibernate ORM, Lombock libraries are briefly presented.
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation

Applying Deep Reinforcement Learning (DRL) to Human-Robot Cooperation (HRC) in dynamic control problems is promising yet challenging as the robot needs to learn the dynamics of the controlled system and dynamics of the human partner. In existing research, the robot powered by DRL adopts coupled observation of the environment and the human partner to learn both dynamics simultaneously. However, such a learning strategy is limited in terms of learning efficiency and team performance. This work proposes a novel task decomposition method with a hierarchical reward mechanism that enables the robot to learn the hierarchical dynamic control task separately from learning the human partner’s behavior. The method is validated with a hierarchical control task in a simulated environment with human subject experiments. Our method also provides insight into the design of the learning strategy for HRC. The results show that the robot should learn the task first to achieve higher team performance and learn the human first to achieve higher learning efficiency.
LibGuides: Construction: Home

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