Reviewerly/exHarmony huggingface dataset:
A random walk in stochastic dance

Stochastic music, developed last century by Xenakis, has older avatars, like Mozart, who showed how to compose minuets by tossing dice, in a similar way that contemporary choreographer Cunningham took apart the structural elements of what was considered to be a cohesive choreographic work (including movement, sound, light, set and costume) and reconstructed them in random ways. We intend to explore an enactive and experiential analogue of stochastic music, in the realm of dance, where the poetry of a choreographic spatial/floor pattern is elicited by a mathematical stochastic process, to wit a random walk – a stochastic dance of sorts. Among many possible random walks, we consider two simple examples, embodied in the following scenarios, proposed to the students/dancers: - a frog, jumping randomly on a row of stones, choosing right and left as if tossing a coin, - a person walking randomly on a square grid, starting a given node, and choosing each time randomly, equally likely N, S, E or W, and walking non-stop along the corresponding edge, up to the next node, and so on.When the dancers encounter these situations, quite natural questions arise for the choreographer, like: Where will the walker/dancer be after a while? Several ideas for a choreography emerge, which are more complex than just having one or more dancers perform the random walk, and which surprisingly turn our random process into a deterministic one!For instance, for the first random walk, 16 dancers start at the same node of a discrete line on the stage, and execute, each one, a different path of the 16 possible 4 – jump paths the frog can follow. They would need to agree first on how to carry this out. Interestingly, they may proceed without a Magister Ludi handing out scripts to every dancer. After arriving to their end node/position, they could try to retrace their steps, to come back all to the starting node.Analogously for the grid random walk, where we may have now 16 dancers enacting the 16 possible 2-edge paths of the walker. The dancers could also enter the stage (the grid or some other geometric pattern to walk around), one by one, sequentially, describing different random paths, or deterministic intertwined paths, in the spirit of Beckett’s Quadrat. Also, the dancers could choose their direction ad libitum, after some spinning, each time, on a grid-free stage, but keeping the same step length, as in statistician Pearson’s model for a mosquito random flight.We are interested in various possible spin-offs of these choreographies, which intertwine dance and mathematical cognition: For instance, when the dancers choose each one a different path, they will notice that their final distribution on the nodes is uneven (interesting shapes emerge). In this way, just by moving, choreographer and dancers can find a quantitative answer to the impossible question: where will the walker/dancer be after a while? Indeed, the percentage of dancers ending up at each node gives the probability of the random walker landing there.
MANAGEMENT OF STUDENT SUPPORT SYSTEM IN THE SITUATION OF CORONAVIRUS DISEASE 2019 (COVID-19) OUTBREAK, SAMUT PRAKAN PRIMARY EDUCATIONAL SERVICE AREA OFFICE 1

The outbreak of COVID-19 in the academic year 2020-2021 has resulted problems in learning and living of students under the Samut Prakan Primary Educational Service Area Office 1, Thailand, who need to assistance urgently. The objectives of this research were to1) analyze students' problems during the COVID-19 situation 2) develop a management system to assist students and 3) study the results of management of student support system in the COVID-19 pandemic. The research was conducted in 3 phases: Phase 1 analyzed students' problems by stakeholders focus group discussion comprising of 30 school directors, teachers, and supervisors. Phase 2 developed the management of student support systems through stakeholder meeting to define activities and practice guide line. Phase 3 studied the results of the administration of the student support system using the CIPP Model evaluation. Quantitative data were analyzed with descriptive statistics and qualitative data were analyzed by content analysis. The results showed that the students' problems consisted of 1) the readiness of communication devices; 2) the internet connection 3) parents’ capacity and 4) home environment for learning and living. The development of the management of student support system in the COVID-19 pandemic was carried out in the form of a project. It consisted of four activities: 1) Development 2) Helping 3) Promotion and 4) Addition. Finally, the results of the administration of the student support system using the CIPP Model evaluation found that Context, Input, Process and Product reached the highest level of average.
PERANCANGAN SISTEM INFORMASI MANAJEMEN PERSEDIAAN BARANG PADA PT.KENCANA MITRA TINELO JAKARTA

Kencana Mitra Tinelo is a company that moves in trade import ( importers ).As for simple understanding from importers is a business entity or trade purchase goods from abroad on a large scale, and then that goods resale in the country.Most products imported goods this company derived from some countries: such as china, ethiopia, and other.As for goods products sold there are some types of such as electronic goods, toys children as well as the results of agricultural produce of countries such as ginger, cumin and also.The need for information system warehouse management required for the company management and process data warehouse in the amount of goods very large.For that reason so made design information system management an inventory of goods that can help ease recording, enter and looking for goods that is in warehouse is conventional.Application information system these warehouses made by using tool uml, java programming and xampp phpmyadmin as database.Methods used is the method waterfall which includes stage analysis, design, implementation and testing.The results of testing the system with a method of black box show that the system has meet the needs.
Design Hybrid Intelligent system for Cattle Diseases Diagnosis and Treatment

Cattle is one of the main concerns of people and companies in various countries of the world. This paper built the architecture of the cattle diseases by combining the characteristics of an expert system with a neural network Expert system focuses on diagnosing the possible diseases that affect the life of cattle through constructing knowledge bases. While the Radial base functions, a neural network is proposed for the cattle diseases treatments. A tightly coupled model is used to implement a hybrid intelligence technique for diagnosing and Treatment cattle diseases. The result generated by the system was enough to demonstrate its performance.
The use of English subtitled video on Youtube to improve students’ vocabulary achievement

This quantitative research was conducted to see if the use of English subtitled video on YouTube is effective to increase students’ vocabulary achievement, and to investigate the students’ perception on the use of English subtitled video on YouTube in vocabulary learning. The researcher used one group pretest and posttest design. The sample of this research was IX C students at SMP Negeri 1 Ambarawa. The instruments used in this study were vocabulary test and questionnaire. The data were analyzed by using Repeated Measures T-Test in Statistical Package for Social Science (SPSS) software in which the significance was determined by p&lt;0.05. The result of the research showed that the mean score of pretest was 4.6 while the posttest was 6.1 with 1.5 different points. The result of t-value (6.049) was higher than t-table (2.045), and the value of significance was 0.000 &gt; 0.05. It indicated that the hypothesis was accepted; therefore, there is a significant difference between students vocabulary achievement after teaching by using English subtitled video on YouTube. Moreover, the researcher used close-ended questionnaire to investigate the students’ perception after the implementation of English subtitled video on YouTube in vocabulary learning. The result of the questionnaire showed that the use of the medium was enjoyable, effective, and beneficial for students to learn vocabulary. This was proven by the result of the percentage of each item of the questionnaire which showed more than 70%. Thus, based on the result, it is concluded that English subtitled video on YouTube can be applied to increase students’ vocabulary achievement. Keywords: Effective, Perception, Subtitled Video, Vocabulary
Computational Models of Implicit Learning

This chapter examines computational models of implicit learning. One of the important results from the literature on people learning artificial grammars is that they can transfer their knowledge to a different letter set embodying the same grammar. The appealing intuition motivating the work of Servan-Schreiber and Anderson is that perception and memory are both more-or-less automatic processes of chunking. The Competitive Chunking model was given the same data, and it was assumed that it would recall a string only if nchunks equalled one for that string. Connectionism attempts to model human performance according to patterns of activation across a number of simple computational elements, or units, connected by weights. The auto associator may have been trained on grammatical strings in the learning phase. A number of promising approaches exist for modelling the learning of finite-state grammars: classifier systems, Competitive Chunking, exemplar models, and connectionist models.
Representation of Spatial Data Processing Pipelines Using Relational Database

A methodology for representation of spatial data processing pipelines using relational database within the framework of the computing backend of the online information-analytical system “Climate” (http://climate.scert.ru) is proposed. Each pipeline is represented by a sequence of instructions for the computing backend describing how to run data processing modules and pass datasets between them (from the output of one module to the input of another one), including raw data and final computational results obtained in graphical or binary formats. Using relational database for storing descriptions of processing pipelines used in the “Climate” system provides flexibility and efficiency while adding and developing spatial data processing modules. It also provides computing pipelines scaling for further implementation for multiprocessor systems.
The Use of Infographic to Enhance EFL Students’ Reading Interest

This study was designed to review previous studies conducted by the other researchers related to the utilization of infographics to enhance the EFL students’ reading interest and design a scenario of utilizing the infographics in the classroom to enhance the students’ reading interest. The paper conducted library research to collect the data. Several studies that fulfilled the criteria were reviewed in the data collection. It was found that many other researchers found positive impacts from the utilization of infographics. It was also found that the utilization of infographics to enhance the students’ reading interest was not very difficult since the high development of technology nowadays can help teachers to design the infographic using software and online platforms easier. The last result found were the benefits acquired from the utilization of infographics, namely reducing the students’ boredom, increasing their will to read, and developing their ability to think critically and organize ideas.
A Secure GUI Method For Reliable Data Communication

The need of secure and reliable data communication is getting increased day by day.Many algorithms and methods are being proposed by researchers in order to provide secure data communication.In the same context, in this paper, a new GUI (Graphical User Interface) based Peer to Peer (P2P) message transmission method is proposed.The method can provide transmission of encrypted data in a hidden way.The security analysis and advantages are also discussed to prove the utility of the proposed method.The proposed method utilizes the strength of cryptography and steganography and hence provides better security.
Sistem Informasi Geografis Pemetaan Sebaran Data Covid-19 Pada Puskesmas Kerongkong Kabupaten Lombok Timur Berbasis WebImam

An information system is a collection of data or facts that are processed and processed in such a way as to produce something that can be understood and can be useful for the recipient. Among the general public, the need for accurate and fast information is urgently needed at this time, especially information regarding the spread of the Covid-19 disease that is hitting the world today. Covid-19 (Coronavirus) is a virus that can attack the respiratory tract and can be transmitted to anyone through droplets of phlegm. However, in conveying information by the Kerongkong Health Center officers regarding the Covid-19 distribution area in the Suralaga sub-district, they still use the socialization method. This method is considered right on target, but it is considered less effective for villages that have a fairly high distribution rate in the Suralaga sub-district. Therefore, an information system for Mapping the Covid-19 Spread Area is needed that is fast and accurate in conveying information to the public, the goal is to make it easier for the puskesmas to take preventive actions against areas that have a fairly high spread rate by looking at the location of the distribution area in the sub-district. suralaga. WebGIS is a web-based geographic information system consisting of several components, namely mapping graphic design, digital maps with geographic analysis, computer programs, and a database that are interconnected into one part. In the preparation of the stages of this research carried out by means of data collection, system design, system creation stage, testing and evaluation. The existence of WebGIS mapping the patient's location can help the throat health center in collecting data on Covid-19 patients and can quickly provide information to the public.
Digitization of the process of primary school teacher training

The paper deals with the issue of introducing digital innovations in the process of training primary school teachers. It has been identified that digital literacy is becoming a priority for teachers today, therefore particular attention in the training of primary school teachers should be focused on the formation of digital competencies. The paper describes the peculiarities of digitization of the process of training primary school teachers and identifies ways to organize work with students using digital tools and technologies within blended learning. The educational concept of blended learning has been considered. Emphasis has been placed on the implementation of the «flipped classroom» model, using a mixed synchronous educational environment, which means simultaneous work with students in the classroom and online connection for those who cannot be present in the classroom. It has been proposed by the author to use the method of self-organized educational space for the organization of students’ independent work with the use of digital technologies in face-to-face classes. It has been stressed that the teacher under such an arrangement of training plays the role of facilitator, whose primary task is to organize group activities. The conditions which determine the success of further digitalization of the process of primary school teacher training have been presented.
Learning Evaluation of Writing Descriptive Text with Think Pair Share Model in Seventh Grade Students with Introvert Personality

Learning to write descriptive texts which is in accordance to the 2013 curriculum and the development of the 21st century has demanded students to be more productive, creative, innovative, and affective through integrated knowledge of attitudes, skills, and knowledge. Learning to write descriptive texts cannot be separated from the personality of students, namely introvert personality. Evaluation of learning by using a learning model that is appropriate to the introvert personality type is important. The purpose of this study was to evaluate the effectiveness of writing descriptive text learning with the think pair share model in VII grade students with introvert personality. This research used one-group pretest-posttest design. The results of the research based on the paired t-test with a significance value of 0.000 showed that there was a significant difference between the results of the initial test and the final test of writing descriptive text. Significant differences were experienced by introvert students, as there was an increase in the average score of the initial test from 68.07 and the average score of the final test of 80.38.
Differentiated Approach When Studying “English for Special Purpose” Online in Technological University

Using online learning technologies in combination with a differentiated approach can improve significantly the quality of teaching a foreign language in a technological university. The purpose of this article is to examine a differentiated approach to teaching foreign language to students using online support (study). In other words, a system of three basic individual trajectories, which include training listening, reading and writing skills in each module, is presented in the research. Online study (support) is a part of a course “English for Special Purpose” and is processed simultaneously to offline classes. Students are divided into three groups according to individual trajectories of online support: basic, intermediate and advanced. The study examines the organization of work online using the differentiated approach in the framework of online support of the course “English for special purpose”, developed for students of the master’s program “Chemical Technology” in Kazan National Research Technological University. When developing a personal learning path of students, the following stages are distinguished: diagnosis (students are divided into three basic trajectories); implementation (within each module, three types of tasks for all levels are presented); control (two types of testing: intermediate and final, including multiple choice questions and cloze tasks). Special attention in the research is paid to the way in which training reading skills is organized. The distribution of students in three trajectories, which are operated online, allows you to level the knowledge of students in the same group and to compensate for the absence of the student in the classroom. However, since the requirements for the exam are the same for all students, the student must complete the tasks of advanced level to get an excellent grade.
Multitask Learning as Question Answering with BERT

Question Answering demands a deep understanding of semantic relations among question, answer, and context. Multi-Task Learning (MTL) and Meta Learning with deep neural networks have recently shown impressive performance in many Natural Language Processing (NLP) tasks, particularly when there is inadequate data for training. But a little work has been done for a general NLP architecture that spans over many NLP tasks. In this paper, we present a model that can generalize to ten different NLP tasks. We demonstrate that multi-pointer-generator decoder and pre-trained language model is key to success and suppress all previous state-of-the-art baselines by 74 decaScore which is more than 12% absolute improvement over all of the datasets.
Determining Hidden Neurons with Variant Experiments in Multilayer Perception using Machine Learning Neural Networks

Neural network has broadly been employed in various fields for its efficacy and its superiority. Excellence results provided can be directly provided in various analyses. Besides the variant types of neural network, Multi layer perceptron plays a vital role for its adaptive learning ability. The network makes prediction based on learn of training set. Neural has three layers then the layers are the Input, Hidden and the Output Layers. There may be more than one hidden layer but there is one input and output layer. The hidden or the intermediate layer is considered as an engine of the complete network as it has the non linear activation function and they has a sensational domination in the finishing result . The amount of neurons in three layers determines the excellence of the network. The neuron in the input and the output layer is fixed as per the dataset while for the intermediate layer it is fixed by the user in random. Increase in neuron cause over-fitting while decrease cause under fitting and these assumptions have a great impact in the final outcome. This paper discusses the existing approaches for fixing the hidden neurons and proposes a method to fix the neurons in the intermediate layer and analyse the quality of the group. The proposed procedure has variant approaches to determine the hidden neuron and they are compared. The experiment is done in WEKA and the accuracy is checked with measures.
Student Learning Satisfaction During The Covid-19 Pandemic: Experience Of Russian Universities

The COVID-19 pandemic has dramatically changed the situation in education.In order to ensure the safety of students' health during the outbreak of the epidemic on the territory of the Russian Federation, all higher education institutions have switched to distance learning.The consequences of this large-scale experiment are yet to be evaluated.The aim of this study consisted of examining satisfaction with distance learning during the COVID-19 pandemic.An online survey was conducted in June 2020.The interviewees included 268 students.Distance learning currently serves as a backup option or an additional element to the traditional form of education.The experience received by students during the pandemic did not generate much interest in distance learning; on the contrary, it was associated with many difficulties.The study revealed the most reactive position of the majority of students.The results of the research demonstrated that satisfaction with distance learning depended on sex and the year of study.The experience gained during the COVID-19 pandemic highlights that universities should increasingly develop and implement elements of distance learning in order to enhance the willingness of all participants to switch to this form in case of an emergency.
THE EFFECTIVENESS OF USING MICROSOFT TEAMS IN STUDENTS’ SPEAKING PERFORMANCE DURING PANDEMIC COVID-19 OUTBREAK

The spread of Covid-19 changed the world to deal with the transformation of learning platform from the traditional classroom to virtual classroom. Due to this situation, the educational instructors or teachers are be able to find and use the appropriate online learning platform like Zoom, Google Classroom, Gmeet, Microsoft Teams, etc, to support the interaction between teacher and students particularly on speaking class. The aim of this study is to investigate the effect of Microsoft Teams in supporting students’ speaking performance for English Department students. This study is quantitative reasearch with quasi experimental design. The subjects in this study are the second semester of English Department from University of Muhammadiyah Gresik which consist of 18 students each group for experimental and control group. The result of the finding revealed that Microsoft Teams was effective for supporting the interaction between teacher and students by provide the complete features and significantly support the improvement of students’ speaking performance; Pronunciation (13.85%), Grammar (9.37%), Vocabulary (8.95%), Fluency (10.76%) and Comprehension (5.79%). Therefore, this study not only helps the researchers in the use of Microsoft Teams as the online learning platform for University level but also leads to provide analysis in another aspect of english skills (Reading, Listening and Writing).