Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF SPEECH ACT USED BY THE CHILDREN OF 3-5 YEARS OLD STUDENT AT JEMBATAN BUDAYA SCHOOL BADUNG

This study aimed at describing and analyzing the types of speech act and the functions of speech act produced by 3-5 years old students at Jembatan Budaya School Badung. Here, Searle’s theory (1979) is used as the grand theory for analyzing the types of speech act and Leech’s theory (1991) is used for the function of speech act. The research was conducted at Jembatan Budaya School Badung. The subjects of the research were the pre-school students of 3-5 years old in communication. To obtain the intended data, three methods of data collection were used, namely; observation, recording, and note taking. There are three instruments used, namely; researcher, observation, and video recorder. The data obtained were analyzed by using descriptive qualitative method. This research discovered two findings as the aims of this research. First, the most frequent type of speech act used by the children of 3-5 years old student is directive, which is followed by commissive, representative, and expressive. Specifically, (1) the children used 6% utterances in representative category, (2) the children used 44% utterances in directive category, (3) the children used 24% utterances in expressive category, (4) the children used 26% utterances in commissive category. Second, the children of 3-5 years old students mostly created speech act for the competitive function, which is followed by convivial function, and conflictive function. Whereas collaborative function did not appear in those children’s communication. The implication of this study is to learn and master pragmatics, especially in the theory of speech acts to be able to understand the speaker’s intention so that the communication expressed is able to be fulfilled.
Education quality at regional university in students assessments

The article presents the results of an empirical study whose purpose was to identify students’ assessment of the quality of education at a regional university. The study was conducted on the basis of Udmurt State University as part of the research project “Transitive University in the face of global, national and regional challenges” in February-March, 2019. In total, 611 full-time students were interviewed. Despite the fact that the university is on the 228th place out of 2060 organizations engaged in research activities and is of high potential, the quality of education as a whole is estimated by students at a low level and the main complaints are reduced to the poor state of the facilities of the educational environment and the practice organization.
Deploying 3D Animated Models in AR with A-Frame and GitHub Pages

Though we’ve nearly reached the end of our course on immersive AR and VR content using the WebXR API, we have only worked with primitive assets in XR scenes. Objects like cubes, planes, and spheres are helpful while we prototype experiences. However, creating an XR experience a user will enjoy requires a bit more creativity. One way we can increase the diversity of our XR applications is with 3D models.
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks

This paper gives an overview of our ongoing work on the design space exploration of efficient deep neural networks (DNNs). Specifically, we cover two aspects: (1) static architecture design efficiency and (2) dynamic model execution efficiency. For static architecture design, different from existing end-to-end hardware modeling assumptions, we conduct full-stack profiling at the GPU core level to identify better accuracy-latency trade-offs for DNN designs. For dynamic model execution, different from prior work that tackles model redundancy at the DNN-channels level, we explore a new dimension of DNN feature map redundancy to be dynamically traversed at runtime. Last, we highlight several open questions that are poised to draw research attention in the next few years.
The Principle of Fuzzy Negative Association Rule and Its Experiment Simulation

Abstract Energy conservation optimization control is an important way to reduce the energy emission and save energy in coal-fired power plants. There is a large amount of potential knowledge and information in the massive data in the real-time historical database of thermal power plant, which can be used for the control of energy conservation and optimization. This paper is mainly around the fuzzy association rules based on the traditional method in power plant, the application of energy saving optimization control for fuzzy association rules in specific research, and the simulation test data of the power plant operation.
Discussion on Online Teaching Mode of Colleges and Universities under Multi-platform Integration

During the period of epidemic prevention and control, in response to the initiative of the Ministry of education to “close classes without stopping learning”, colleges and universities actively carry out online teaching activities relying on a variety of online teaching platforms to ensure the teaching progress and quality. This paper takes online teaching as the research object, analyzes the impact of online teaching on education and teaching, and discusses the mode of teaching.
Investigation of some volcanic glasses of georgian deposits

The paper presents research materials on some hydrogen-containing volcanic glasses of Transcaucasia of acidic composition, concentrated in areas of late Tertiary-Quaternary volcanism, in particular, the central part of the Akhalkalaki plateau, within the Akhaltsikhe valley (Georgia). Studies of natural materials of perlite, obsidian and pechstein were carried out by geological, physico-chemical: petrography, chemical analysis, X-ray diffractometry, and IR spectroscopic methods. The work shows the genesis, structural features and prospects of using these minerals. It has been found that the chemical composition of the minerals studied is characterized by a different content of aluminum oxide Al2O3. It is shown that silicon oxide SiO2, which is a part of volcanic glasses, occurs in an amorphous state. Perlites of the studied deposits differ from each other both visually and in composition. The perlites of the Toloshi deposit are dark gray in color and the Paravani deposits are white. In the perlite spectra of the Tolosh deposit, the vibrational frequencies of both the intratetrahedral and in the intertetrahedral space of Si-O-Si (Al) indicate that silicon is replaced by aluminum to a lesser extent than in the perlite of the Paravan deposit. The prospects of using expanded volcanic glasses are also shown.
The relationship of the individual, special and General in the actualization of cognitive activity of students

The relationship of the individual and the general in the actualization of cognitive activity of students is considered. Single, special and universal are not knowledge isolated from each other, but represent various aspects of the general, the whole. Moreover, the general - the whole should not be perceived without the unit, as the unit is inconceivable without connection with the general. Given all this, a methodology has been developed for updating the cognitive activity of students to an active perception of the material studied, which boils down to the implementation of analytical and synthetic cognitive operations. The methodological implementation of it in each individual case depends on many other components: the difficulty of the posing problem, its relationship with other provisions, its characteristic features, the preparedness of the class to solve complex issues in this way, the teacher’s ability to carry out this cognitive process in each individual case. Examples of the developed methodology in the classroom, confronts students with problematic issues, for the solution of which they are trying to apply actions that contribute to the disclosure of the content of the problem, are looking for ways to implement it, which in turn actualizes their cognitive activity
Watermarking for the Secure Transmission of the Key into an Encrypted Image

Ensuring the confidentiality of any data exchanged always presents a great concern for all communication instances. Technically, encryption is the ideal solution for this task. However, this process must deal with the progress of the cryptanalysis that aims to disclose the information exchanged. The risk increases due to the need for a dual transmission that includes the encrypted medium and the decryption key. In a context of chaotic encryption of images, we propose to insert the decryption key into the encrypted image using image watermarking. Thus, only the watermarked encrypted image will be transmitted. Upon reception, the recipient extracts the key and decrypts the image. The cryptosystem proposed is based on an encryption using a dynamic Look-Up Table issued from a chaotic generator. The obtained results prove the efficiency of our method to ensure a secure exchange of images and keys.
Based on the New Idea of Improving the Teaching Effect of Physical Chemistry by Reducing Students’ Burden

In order to improve the professional level of college students and promote their overall development, colleges and universities adopt credit system, students are required to learn several elective courses in addition to the basic professional courses and professional skills courses, so that students are constantly passive listening to lectures, is not conducive to the cultivation of students’ independent learning ability and expertise play. The course of physical chemistry is characterized by many formulas and abstract concepts. It is difficult for students to learn and takes up a long time after class. Therefore, it is very necessary to adopt diversified teaching mode, expand teaching links, ensure students’ learning effect in class and reduce their learning burden after class.
Uncertainty Quantification in Deep Learning through Stochastic Maximum Principle.

We develop a probabilistic machine learning method, which formulates a class of stochastic neural networks by a stochastic optimal control problem. An efficient stochastic gradient descent algorithm is introduced under the stochastic maximum principle framework. Convergence analysis for stochastic gradient descent optimization and numerical experiments for applications of stochastic neural networks are carried out to validate our methodology in both theory and performance.
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning

The interaction of conversational systems with users poses an exciting opportunity for improving them after deployment, but little evidence has been provided of its feasibility. In most applications, users are not able to provide the correct answer to the system, but they are able to provide binary (correct, incorrect) feedback. In this paper we propose feedback-weighted learning based on importance sampling to improve upon an initial supervised system using binary user feedback. We perform simulated experiments on document classification (for development) and Conversational Question Answering datasets like QuAC and DoQA, where binary user feedback is derived from gold annotations. The results show that our method is able to improve over the initial supervised system, getting close to a fully-supervised system that has access to the same labeled examples in in-domain experiments (QuAC), and even matching in out-of-domain experiments (DoQA). Our work opens the prospect to exploit interactions with real users and improve conversational systems after deployment.
Tubule Formation Segmentation Of Histopathological Image Of Breast Cancer By Using Clustering Method

Histopathological assessment is one of the examinations that allows the classification of breast cancer based on its level. Histopathological assessment factors are based on tubule formation, nuclear pleomorphism, and the mitotic count. This study only focused on tubule formation. The tubule formation was represented by a lumen surrounded a nucleus. The segmentation of tubule histopathology of breast cancer method was using a combination of k-means clustering and graph cut. The image data used in this study were 15 images of breast cancer histopathology preparations using 5 variations in the number of clusters (k) in the k-means clustering method. The best results of tubule formation segmentation using k = 4, with an average value of balanced accuracy was 81.08% and the most optimal balanced accuracy results was 94.34%.
Existence of continuous right inverses to linear mappings in finite-dimensional geometry

Abstract A linear mapping of a compact convex subset of a finite-dimensional vector space always possesses a right inverse, but may lack a continuous right inverse, even if the set is smoothly bounded. Examples showing this are given, as well as conditions guaranteeing the existence of a continuous right inverse.
Inculturation and Socialization of Students with Disabilities of Health by Means of Digital Educational Resources

One of the most obvious trends in the development of modern Russia is the development of the practice of inclusive education at all its levels. However, there are limitations that inhibit this process. In addition to objective limitations (insufficient material and technical equipment of modern educational institutions with special equipment, lack of financial investments in education to create a genuine barrier-free environment, etc.), subjective limitations associated with the lack of willingness of higher education teachers to work in an inclusive educational environment. The introduction of design technology and the use of digital educational resources for the inculturation and socialization of students with disabilities can solve this problem.
LibGuides: Text and Data Mining with TDM Studio: Home

A guide on how to access TDM Studio at CMU, construct text corpus from subscribed ProQuest content, and use the platform for text mining
Design and Implementation of Migration Manager between Cloud Edge Platforms

Live migration is the process of moving an application of a running virtual machine between physical machines without disconnecting the client or application. In recent years, as cloud computing has developed at a rapid pace, numerous virtual systems have been developed, and container-type operating system level virtualization technology, which is attracting attention at a higher speed and lower resource consumption rate than a virtual machine which use Hypervisor. The tool that deploys and manages these containers is called a container orchestration tool, and the most widely used orchestration framework is Kubernetes. Currently, there is no function for live migration in Kubernetes. In this paper, we developed an environment where containers can be live migration in Kubernetes, and research was conducted to reduce downtime of live migration.
Latent Programmer: Discrete Latent Codes for Program Synthesis

In many sequence learning tasks, such as program synthesis and document summarization, a key problem is searching over a large space of possible output sequences. We propose to learn representations of the outputs that are specifically meant for search: rich enough to specify the desired output but compact enough to make search more efficient. Discrete latent codes are appealing for this purpose, as they naturally allow sophisticated combinatorial search strategies. The latent codes are learned using a self-supervised learning principle, in which first a discrete autoencoder is trained on the output sequences, and then the resulting latent codes are used as intermediate targets for the end-to-end sequence prediction task. Based on these insights, we introduce the \emph{Latent Programmer}, a program synthesis method that first predicts a discrete latent code from input/output examples, and then generates the program in the target language. We evaluate the Latent Programmer on two domains: synthesis of string transformation programs, and generation of programs from natural language descriptions. We demonstrate that the discrete latent representation significantly improves synthesis accuracy.
EDUCATIONAL COURSE "PROGRAMMING OF INTERNET-ORIENTED APPLICATIONS": FEATURES OF TEACHING

The use of Internet-oriented applications is constantly growing, but the question arises how to create Internet-oriented applications. The educational course "Programming of Internet-oriented applications" is designed to solve this problem. The article describes the subject, purpose and results of the educational course "Programming of Internet-oriented applications". The content of the program of the educational course "Programming of Internet-oriented applications" is given. The methodical aspects of teaching the course "Programming of Internet-oriented applications" are revealed, namely the description of lectures with the description of studying the concepts of the topic, methods and means of teaching (verbal teaching methods (explanation, story, conversation), visual teaching methods (demonstration), methods learning depending on the type of cognitive activity (information-receptive, reproductive, problem, partial-search (heuristic), search (research), inductive, deductive), method of stimulating interest in learning and motivation of learning-cognitive activity (discussion); computer), laboratory practicals with a description of tasks to perform, methods and means of teaching (verbal teaching methods (explanation, story, instruction), visual teaching methods (illustration, demonstration), teaching methods depending on the type of cognitive activity (reproductive), methods of control and self-control on the effectiveness of educational and cognitive activities: methods of oral control (individual recitation, frontal recitation), methods of self-control (personal exploration of errors, self-analysis); textbook, computer), independent work of students, modular control work. It is noted that for most lectures multimedia presentations have been developed, which are freely available on the Internet. A distance course "Programming of Internet-oriented applications" has been created as part of distance learning implementation.
THE VIEWS OF PHILOSOPHERS AND CLASSICAL EDUCATORS ON RESPONSIBILITY AND RESPONSIBLE ATTITUDE TO PARENTHOOD

The article analyzes the views of philosophers (E. Rotterdam, J. Comenius, J. Rousseau, J. Pestalozzi) and classical educators (A. Makarenko, V. Sukhomlinsky, M. Stelmakhovich) on the issue of responsibility and responsible attitude to paternity in student youth. It is noted that a certain problem is actualized by the fact that the family ceases to be a child-rearing environment, and young people limit the preparation for the future family life by solving material issues and pay little attention to the responsible attitude towards the future of parenthood. Therefore, it is important to organize the process of preparing young people for the role of father / mother on the basis of the leading ideas of philosophers and classical educators. The purpose of the article is to analyze the views of philosophers and classical teachers on the peculiarities of students' formation of responsibility and responsible attitude to parenthood. In the course of scientific research, research methods were used: analysis, synthesis, generalization and systematization. The concept of “responsibility” is designated as the maximum expression of the subjective position of the person in the activity; voluntary undertaking of guarantees to ensure the conditions for its implementation, guarantees of its results, willingness to be responsible for any consequences. Responsible attitude to parenthood in students is considered as a stable internal quality of a person (as an element of consciousness), based on a person’s awareness of his own life choice and willingness to independently solve the problems related to future family life, family planning, birth and upbringing of children, and reflects the adoption of a system of his own responsible dependence on members of his family and society. It is noted that both philosophers and classical educators focused on the need&nbsp; to form responsibility among young people as a personal quality and responsible attitude to parenthood as a personal value.
Implementasi Analisis Sentimen Menggunakan Naïve Bayes Terhadap Keluhan Sarana dan Prasarana Di Biro Administrasi Umum Universitas Muhammadiyah Surakarta

The opinion is the right of human life that existed since birth, but there are still many people who do not realize the freedom of opinion should be balanced with a speech that does not hurt and polite to convey the opinion clearly. Technology development allows people to freely argue that it is no exception on social media. Whatsapp is one of the social media sharing messages that allows users to personally or in a group to convey the opinion, criticism, and suggestion. To utilization opinions to help performance evaluation requires precise analytical techniques in accordance with the data encountered such as sentiment analysis.Therefore, this research conducted a sentiment analysis of complaints in WhatsApp group facilities and infrastructure General Administration Bureau University of Muhammadiyah Surakarta using Naive Bayes Classifier to suggest BAU increase their performance manage Sarpras in University of Muhammadiyah Surakarta. This research using 420 data with 216 negative labeled data and 204 positive labeled data and resulted in negative sentiment is 70,64% and positive sentiment is 29,37% with an accuracy 69.05%. These result reveal complaints of more satire then performance appreciation.
FORMATION OF A LEARNING SET FOR THE TASK OF IMAGE PROCESSING

The problem of forming a training set for the task of image processing is considered. It is shown that this task is of great importance in the construction of intelligent medical diagnostic systems in which convolution neural networks are used for image processing (results of ultrasound, CT and MRI). Due to the lack of elements of the training sample, it is proposed, on the one hand, to use approaches of artificial data multiplication based on the initial training sample of a fixed volume, and on the other hand, to use methods that reduce the need for large training samples, both through the use of ensemble topology (hybrid neural networks), and by applying the transfer learning approach. An algorithm for the formation of a training set for image processing tasks is developed based on the modification of the initial input information with the calculation of the confidence measure of the obtained sample.
MODEL PEMBELAJARAN MULTILITERASI PADA PEMBELAJARAN MEMBACA PEMAHAMAN DI KELAS IV SEKOLAH DASAR

This research is motivated by the low reading ability of students in Indonesian language learning. This study aims to improve students' reading comprehension skills in grade IV of the Baitul Jannah School Bandar Lampung Integrated Islamic Elementary School by using a multiliterasi learning model. The research method used by researchers is classroom action research in collaboration with grade IV teachers at SDIT Baitul Jannah School with a total of 25 students in class IV consisting of 15 female students and 10 male students. This research took place in 3 cycles, each cycle consisting of 3 actions. The techniques used in data collection were the ability to read comprehension tests, observations, interviews, documentation, and field notes. The results showed that the multi-literacy learning model could improve students' reading comprehension skills in grade IV SDIT Baitul Jannah School in Bandar Lampung.
Development of Higher Vocational Artificial Intelligence Course based on Enterprise Real Project

Abstract In the era of intelligence, the development of artificial intelligence technology has greatly promoted the demand of relevant professional courses. This paper mainly analyses the framework and implementation process of the enterprise real project “garbage sorting robot system” which is the project carrier of artificial intelligence course. On this basis, according to the knowledge system of artificial intelligence technology, the relevant teaching knowledge points and teaching methods of artificial intelligence course are designed.