Reviewerly/exHarmony huggingface dataset:
Exponential Separations in Symmetric Neural Networks

In this work we demonstrate a novel separation between symmetric neural network architectures. Specifically, we consider the Relational Network~\parencite{santoro2017simple} architecture as a natural generalization of the DeepSets~\parencite{zaheer2017deep} architecture, and study their representational gap. Under the restriction to analytic activation functions, we construct a symmetric function acting on sets of size $N$ with elements in dimension $D$, which can be efficiently approximated by the former architecture, but provably requires width exponential in $N$ and $D$ for the latter.
The Active Direct Torque Control of an Induction Motor based on an Artificial Neural Network

In this paper, a method is developed to control the induction motor IM using direct torque control (DTC), by means of artificial neural networks (ANN), in order to reach the optimum performance .And then using the MRAS technique, the desired and efficient control of the rotor speed could be estimated and achieved. The design uses the individual training technique with the fixed weight and the controlled models to avoid the difficult DTC calculation. A specific comparison analysis was conducted between both the control for direct torque neural networks (DTNNC) and conventional direct torque control (CDTC) applied to select voltage vector switching. The chassis was designed by Matlab / Simul for DTC.
It's DONE: Direct ONE-shot learning with Hebbian weight imprinting

Learning a new concept from one example is a superior function of human brain and it is drawing attention in the field of machine learning as one-shot learning task. In this paper, we propose the simplest method for this task with a nonparametric weight imprinting, named Direct ONE-shot learning (DONE). DONE adds new classes to a pretrained deep neural network (DNN) classifier with neither training optimization nor pretrained-DNN modification. DONE is inspired by Hebbian theory and directly uses the neural activity input of the final dense layer obtained from a data that belongs to the new additional class as the connectivity weight (synaptic strength) with a newly-provided-output neuron for the new class, by transforming all statistical properties of the neural activity into those of synaptic strength. DONE requires just one inference for learning a new concept and its procedure is simple, deterministic, not requiring parameter tuning and hyperparameters. The performance of DONE depends entirely on the pretrained DNN model used as a backbone model, and we confirmed that DONE with a well-trained backbone model performs a practical-level accuracy. DONE has some advantages including a DNN's practical use that is difficult to spend high cost for a training, an evaluation of existing DNN models, and the understanding of the brain. DONE might be telling us one-shot learning is an easy task that can be achieved by a simple principle not only for humans but also for current well-trained DNN models.
Learning Instance-Specific Data Augmentations

Existing data augmentation methods typically assume independence between transformations and inputs: they use the same transformation distribution for all input instances. We explain why this can be problematic and propose InstaAug, a method for automatically learning input-specific augmentations from data. This is achieved by introducing an augmentation module that maps an input to a distribution over transformations. This is simultaneously trained alongside the base model in a fully end-to-end manner using only the training data. We empirically demonstrate that InstaAug learns meaningful augmentations for a wide range of transformation classes, which in turn provides better performance on supervised and self-supervised tasks compared with augmentations that assume input--transformation independence.
FEATURES OF TEACHING COMPUTER MODELING IN INFORMATICS LESSONS

Modern education is characterized by increased attention to the concept of model and methodology of modeling. She uses them in many fields of knowledge, but the study of computer science helps students to gather their knowledge of models into a common system and consciously apply them in their educational and practical activities. As the current task of learning is to update the content and obtain a new quality of result, the role of teaching computer modeling is becoming particularly important and has a priority ability to ensure the effectiveness of education in all its elements. The purpose of the article: is to identify the methodological features of teaching computer modeling in computer science lessons. Research methods: theoretical − analysis and generalization of scientific and methodological sources to substantiate the relevance, determining the place of the topic "Modeling" in the school course of computer science; generalizations to identify methodological features of teaching modeling in computer science lessons. An analysis of the high school computer science curriculum in the context of the topic revealed that the study of modeling in general and computer modeling, in particular, is included in the school computer science curriculum. An analysis of current computer science textbooks for high school students has shown that the topics of "Modeling" and "Computer Modeling" are presented quite concisely. There are three types of tasks in the teaching of computer modeling: to obtain the necessary information and formulate conclusions according to the given model of the object; develop a model of a real object based on data about it; perform the simulation process on a computer.
Association Rules Analysis between Design Change Factors on Construction Phase of Apartment Projects

The issues of design change that inevitably arises in construction projects are major problem that has plagued the construction industry for a long time. In particular, design change in apartment project, one of the most delivered buildings in South Korea, is a major risk that transfers the burden not only to the owner but also to the construction companies and users. The risk of design change in apartment project does not occur alone, but has a pattern of simultaneous or serial occurrence due to various causes. If the construction manager does not understand the underlying cause of the design change, the cost, schedule, and quality of the project will have very unreasonable consequences for all participants. Therefore, this study aims to analyze the relationship between design changes and the flow of simultaneous occurrence of a new multi-family housing project by applying the associated rule analysis method, one of the data mining techniques.
Role of E-governance in Higher Education in Jammu and Kashmir

Education is one of the most important factors in achieving any country's development objectives. Education has grown dramatically in Jammu and Kashmir in recent years as a result of the use of e-government in this sector. Initiatives in information and communication technology aid in the provision of world-class education. The use of e-governance in the education sector has spawned a slew of new ideas. Among the social sectors, Higher Education is one of the most important sectors for development-government facilities for colleges and universities are implemented and maintained by the Department of Higher Education. E-Government is regarded as critical to improved governance. Institutions around the world are launching E-governance initiatives in order to provide their constituents with more transparent, efficient, and cost-effective services. Kashmir's higher education has conceptualised e-governance projects and service initiatives in the educational system as time has passed. This paper provides an overview of the e-governance services, initiatives, and benefits reaped by establishing these services for stakeholders in Jammu and Kashmir's higher education.
Digest of Quantum Stream Cipher based on Holevo-Yuen Theory

So far, quantum key distribution (QKD) has been the main subject in the field of quantum cryptography, but that is not quantum cryptographic communication, it is only the ability to send keys for cryptographic purposes. To complete cryptographic communication, a technique for encrypting data is necessary, and the conventional cryptographic technique of mathematical symmetric key cipher or One Time Pad (OTP) is adopted in the discussion so far. However, OTP is not the ultimate cipher for data encryption, because it does not satisfy security conditions in the modern cryptology. Around 2000, a new quantum stream cipher was proposed as a technique to challenge the possibility of overcoming drawbacks of OTP in practical use. Recently, we have published some review papers on it in Entropy (Open access journal), and others. This paper introduces an overview and a back ground of our paper that is entitled Quantum stream cipher based on Holevo-Yuen theory.
A study on the perceptions and needs of adolescents' medication and meditation education according to meditation experience

The purpose of this study is to investigate perceptions and needs for meditation education among adolescents according to the meditation experience. For this purpose, a survey was conducted targeting 221 adolescents. The results derived from this study are as follows. First, there were significant differences in lying down meditation, walking meditation, story meditation, and awareness of the purpose of meditation education in the perception of adolescents' meditation types according to meditation experience. In the perception of the necessity of meditation education by adolescents according to meditation experience, there was a significant difference in perception of the necessity of meditation education, and there was a significant difference in 'to improve my academic achievement'. Second, according to the meditation experience, it was found that there was a significant difference in the demand for operation time, activity time, and activity cycle of adolescents' meditation education program. This study is meaningful in that it provided basic data for the construction of a meditation program for youth in the future by examining the perception and demand for meditation education according to the meditation experiences of adolescents.
Implementation of Intelligent Traffic Control System using Python Programming

Traffic is one of the major issues in the most populated and big cities in our country [2]. The demand for Intelligent Traffic Control Systems is increasing along with time in this modern era. Problems related to transportation and traffic systems such as traffic congestion, road accidents, air pollution, sound pollution, etc. are observed in most large cities because means of transportation are increasing with the increase in population in a fast way [3]. The proper use of the intelligent traffic control system can solve issues related to traffic and transportation in urban cities. This paper mainly discusses about an Intelligent Traffic Control System which works on python programming software, therefore, establishing a python coding for decreasing the manual labor to manage and direct the traffic routes, vehicle types, length, etc. The system we proposed uses a python algorithm that can easily work in real-time and helps in determining traffic light whilst scheduling the time phase that results in increasing traffic regularity and efficiency by predicting a perfect route, controlling traffic jams, reducing average waiting time, improving traffic flow, etc.
Analysis of university infrastructure and recognition of reward and punishment system on College Students’ garbage classification behavior – a case study of Wuhan University of Technology

Abstract Only a few college students can realize the garbage classification under the background that the garbage classification policy has already been issued. In order to explore the factors that influence garbage classification behavior, this paper puts forward five hypotheses based on Behavioral Science Theory, and explores the influence of internal and external factors on garbage classification behavior of Wuhan University of Technology Students. It provides a reference for improving college students’ consciousness of energy conservation and environmental protection and implementing college garbage classification.
The Role of Digital Education in Narrowing the Gender Digital Divide in Vietnam

This paper introduces some perspectives on digital education in Vietnam and also highlights the important role of local people participating in the fourth industrial revolution. The digital revolution has emerged, expanded rapidly, and is making enormous changes in government, the economy, and social life globally and also in Vietnam. An independent survey of 1,229 students in eight universities was undertaken in April and May of the 2021 in five different regions/areas of Vietnam. This research study introduces several core elements of students’ awareness with regards to digital education in relation to face-to-face education in Vietnam during the current period. This paper addresses the current models of online education that have been applied before and during the pandemic. It focuses on analyzing the advantages and disadvantages of digital education in relation to face-to-face education among regions, particularly between urban and rural areas. Combining quantitative and qualitative research methods, the study also considers gender differences in digital education and the research results show that there is no big digital gender divide in access, use, and motivation between female and male students. Recommendations for policy makers and educators are made to further improve a systematic and strong digital education for higher education institutions in Vietnam. Received 24th August 2021; Revised 2nd January 2022; Accepted 20th March 2021
The Effect of College Students' Participation in Leisure Activities on Their Stress Levels and Life Satisfaction During the COVID-19 Pandemic

Purpose: It is only to be expected that college students would experience various stressful situations during theCOVID-19 pandemic. The purpose of this study was to determine the effects of indoor leisure activities provided to col lege students on their stress levels and life satisfaction in the context of the COVID-19 pandemic. Methods: This studywas designed as a randomized controlled trial study. The subjects were university students aged 18 years or older, with25 in the experimental group and 30 in the control group. The experimental intervention was a 4-week indoor leisureactivity program. The research instruments used were the perceived stress scale and the Affetometer II questionnaire. Theexperimental treatment period was from April to May 2020. The data analysis methods used were frequency, percentage,mean, standard deviation, Pearson chi-square test or Fisher s exact test, and the Independent t-test. Results: The ex perimental group that participated in the indoor leisure activities had a reduced post-stress level compared to thepre-experiment group. However, there was no difference observed in the life satisfaction scores. Conclusion: In the con text of the COVID-19 pandemic, it is necessary to develop and implement various leisure activity programs to reduce thestress experienced by college students. In the future, along with a study to develop a leisure activity program to reducestress among college students, we suggest conducting a further study to evaluate its effects for a 4 weeks or more.
PEMBERDAYAAN MASYARAKAT DESA PLUMUTAN KABUPATEN SEMARANG MENENTUKAN POSISI DAN KEDALAMAN SUMBER AIR BAWAH PERMUKAAN DENGAN TEKNOLOGI TEPAT GUNA DOWSING DAN GEOLISTRIK

This activity was motivated by the fact that Semarang district was declared by the National Disaster Management Agency (BPBN) as a drought-prone area. Plumutan Village became one of the villages in the Bancak sub-district, Semarang district in 2019 .. The methods used are lectures, discussions, and training. For training on the use of appropriate technology, Dowsing and Geoelectricity is carried out in practice in a predetermined location. The results of the activity showed that the participant's experience increased by being given the practice of making and using dowsing to obtain initial information on the position of areas that have groundwater potential, and experience in using geolistic tools assisted by the service team in several locations that had been determined by the Dowsing tool. The results of geoelectric measurements are then processed using the IP2Win device to obtain a cross-sectional map of the soil layer which shows that at point 1 the depth of the aquifer is 87.4 m and point 2 is at a depth of 83.6 m.
METHODS OF FORMATIVE EVALUATION OF STUDENTS ACHIEVEMENTS IN CHEMISTRY

The relevance of the study is due to the need of school practice in the introduction of a new approach to the assessment of student achievement - formative assessment. Assessment of students 'academic achievements in chemistry has its own characteristics, which requires a variety of techniques for formative assessment of students' academic achievements. The purpose of the study is theoretically substantiate the methodology of formative assessment of students' academic achievements in chemistry in general secondary education. The following methods were used in the research: theoretical (analysis of normative documents, psychological, didactic and methodological literature to study the problem of formative assessment of students 'achievements in chemistry in the theory and practice of chemistry; analysis of techniques of formative assessment of students' achievements in chemistry and digital instruments their implementation); empirical (generalization and systematization of pedagogical experience of teachers of secondary schools, surveys, observations, interviews, questionnaires). The article presents a method of formative assessment of students' achievement in chemistry, which is based on a complex combination of teaching methods with tools of formative assessment and involves the relationship of the following organizational components of its implementation: motivational, substantive, reflective. The didactic bases of definition of tools of formative estimation - the purposes of employment, the purposes of educational activity, individual features and educational needs of studentsare outlined. Techniques of formative assessment of students' academic achievements in chemistry according to the method of their use (visual, schematic-graphic, combined), forms of formative assessment that reflect their place in the educational process (reflection of emotional state, reflection on activity, reflection on content of activity), techniques of formative assessment , which are based on the focus on developing students' skills of self-evaluation and mutual evaluation. Methods for determining the educational needs of students, determining the goals of activities are identified. Digital tools have been identified that contribute to the development of methodological support for the formative assessment of students' academic achievements in chemistry. The proposed methodology allows for holistic and systematic feedback during classroom, blended or distance learning.
Synchronous Dislocation Scheduling Quantum Algorithm Optimization in Virtual Private Cloud Computing Environment

This article studies the optimization of the synchronization and misalignment scheduling quantum algorithm in the enterprise private cloud computing environment. It is necessary to effectively reduce the operating cost of the data center while meeting user satisfaction. For this reason, this article draws on the queuing theory and stochastic model in operations research., To reduce the number of active physical machines while achieving user satisfaction as the goal. By introducing user expenditure indicators, the hybrid group intelligent optimization algorithm can greatly reduce user expenditures while taking into account higher efficiency. A large number of experiments have been conducted on the CloudSim cloud computing simulation experiment platform for the task scheduling and resource scheduling algorithms proposed above.
Exploring American Teachers' Experiences and Perceptions of Teaching Virtual Classes During the Era of the Covid-19 Pandemic

This qualitative study examined American teachers' experiences and perceptions of teaching virtual classes during the Covid-19 pandemic period. Data was collected through individual phone interviews with 2 kindergarten teachers and 2 second grade teachers at VN Elementary School in the M school district which is located in the Midwest of the United States. The M district had a radical increase in COVID cases during March of 2020 so that all of the schools in the area were closed down. The school district had all the schools go with virtual learning through the end of the school year. According to the results, the shift to the virtual learning was made in an efficient way. The school district sent Chromebooks to all the students and teachers redesigned the curriculum which would be more suitable for the virtual learning environment. This neat process was possible because the students already used Chromebooks in their classrooms and teachers already practiced their own autonomy in choosing curriculum topics and methods. Based on these findings, the researcher made some suggestions for online education in South Korea.
A Case Study of Non-face-to Face Multicultural Education Class Using Restorative Circle: Focusing on the Issue of Conflict in the Construction of a Mosque in D City

This paper intends to analyze what positive changes appear in the acceptance of restorative justice viewpoints and attitudes as a flexible multicultural perspective by learners who dealt with the issue of conflict over the construction of a mosque in city D in a non-face-to-face multicultural liberal arts education class using restorative circles. The results of the learners’ restorative circle activities are as follows. 1) In the initial activities that dealt with the issue of conflict in the construction of mosques, learners were unfamiliar with recognizing and expressing the emotions that social issues cause to them, and they took for granted the already internalized legitimate feelings and opinions. 2) After two months of the initial restorative circle activities, learners improved their ability to explain their feelings and understandings with key words or concepts in a very rich and in-depth way. 3) Learners wanted to expand what they realized in learning into the field of life and showed motivation to practice in the future. 4) In a non-face-to-face, unfamiliar learning environment, nonviolent (empathy) communications and restorative circle activities contributed to learners experiencing comfort and satisfaction through self-care and mutual care and enjoying a self-directed world.&#x0D;
Natural Language Processing For analysing and Extracting Insights

In this paper we will discuss about Natural Language Processing for Extracting information or insights. Mainly Natural language processing is a subfield of artificial intelligence it allows machines to break down and interpret the human readable language. For this process it uses different methods like Tokenization, Some interesting applications of natural language processing are Chatbot, sentiment analysis, Speech recognition, Text extraction etc.
A Learning-Theoretic Framework for Certified Auditing of Machine  Learning Models

Responsible use of machine learning requires that models be audited for undesirable properties. However, how to do principled auditing in a general setting has remained ill-understood. In this paper, we propose a formal learning-theoretic framework for auditing. We propose algorithms for auditing linear classifiers for feature sensitivity using label queries as well as different kinds of explanations, and provide performance guarantees. Our results illustrate that while counterfactual explanations can be extremely helpful for auditing, anchor explanations may not be as beneficial in the worst case.