Reviewerly/exHarmony huggingface dataset:
IMPROVING STUDENTSâ€™ VOCABULARY MASTERY THROUGH WORD WALLS STRATEGY TO THE EIGHTH GRADE STUDENTS OF SMP SWASTA KARYA BHAKTI MEDAN

This study is aimed to improve studentsâ€™ vocabulary mastery through word walls strategy. This strategy is one of appropriate strategies in improving studentsâ€™ vocabulary mastery. The subject of this study is the eighth grade students of SMP Swasta Karya Bhakti Medan Class VIII A in the Academic Year of 2016/2017. This study was conducted by applying Classroom Action Research (CAR), which was performed in two cycles (cycle I and Cycle II) and each cycle consisted of three meetings. The instruments of collecting data were quantitative data (vocabulary tests) and qualitative data (observation sheets, daily notes, and photograph evidences). The results of vocabulary tests showed that the mean of the studentsâ€™ score increased continuously from pre-test (8 %), formative test in cycle I (44 %) to post-test in cycle II (92 %). The observation sheets, daily notes, and photograph evidences showed that the students are interested in the teaching and learning processes through word walls strategy and this study ran well. It was found that word walls strategy could improve studentsâ€™ vocabulary mastery. It is suggested that teachers of English should apply word walls strategy as one of the strategies in teaching vocabulary mastery.
WEBSITE DEVELOPMENT IN SOCIAL KNOWLEDGE SCIENCE LEARNING WITH CMS WORDPRESS APPLICATIONS

The development of science, technology and art (science and technology) brings global changes, including in the world of education. This development demands quality human resources to create increasingly attractive media and educational materials. This development research aims to look at the effectiveness of website products with wordpress applications to improve learning outcomes of fourth grade MI students. Based on the feasibility level of the media with a score of 82.89 and the material with a score of 96.25 shows that the media is valid enough to be tested in the experimental group. The trial results showed a significant improvement in student learning outcomes in the Social Sciences sub-topic Uniqueness of the Place Where I Live. This type of research is Research Reseach Development and Development (R&amp;D) with ADDIE model procedures performed. The feasibility level of the media and material is 55 with. Student learning value is measured by the Minimum completeness Criteria (KKM) 70, the student learning outcomes achieved indicate an increase in class average from 55.00 to 85.50 of students totaling 20. The data was obtained in the experimental phase of the experimental class with the pretest instrument and post test. The conclusion of the research is that the website learning media with wordpress application effectively improves the learning outcomes of fourth grade students of MI Sunan Pandanaran (MISPA), Sardonoharjo Ngaglik Sleman Temple on Social Studies sub theme theme of Regional Uniqueness in my place.
Penerapan Sumur Resapan Untuk Pengendalian Genangan Air Hujan Pada Area Rumah Tinggal

Continuous development causes changes in land use from open spaces as water catchment areas to become residential areas. The change in function of water catchment land causes rainwater that falls on the land not to enter the soil, but overflows on the surface of the soil. During the rainy season, most of the water will be discharged directly into the sea, otherwise it will cause puddles and flooding. Meanwhile, during the dry season, many groundwater sources experience drought. Naturally, groundwater shortages can be overcome if the management system is handled properly.The formulation of the problem in this study is how to apply infiltration wells to control rainwater puddles in residential areas.The working principle of an infiltration well is to distribute and collect rainwater into a hole or well, where the rainwater on the ground will then slowly seep into the ground. Below the ground, this seeping water will seep into the soil layer called the unsaturated layer, where this layer can still absorb water. Thus, the entry of rainwater into the ground will increase groundwater. The application of infiltration wells in residential areas requires calculation of the area covered by buildings and watertight. The number of infiltration well areas that need to be made is 4% of the watertight area.
Translator Mobile App for Teaching Children of Beginner-Level -French.

Living in the digital era and in a society that recognises the importance of technology, Information and Communications Technology (ICT) plays a major role in almost every point of life and particularly in education. Teachers play a major role in the teaching and learning of foreign languages. Mobile applications open new opportunities for learning how to read and speak different languages. One such mobile application that is used in education to facilitate learning of new language is the mobile translator. Although, there are numerous language translator applications that are freely available online, most of them have different shortcomings. This study focused on filling the gap of different shortcomings presented by different translator applications and specifically cater the mobile application for the FNCC curriculum. The main objective of this study was to design and develop a mobile translator application to facilitate the effective teaching of beginner level French for children at FNCC. Interviews were carried out as a data collection method to identify the requirements for the mobile translator application. The French teachers at the FNCC (Franco Namibia Cultural Centre) served as a sample group. Purposive sampling method was used to identify the participants and two teachers were selected. The application was developed following the incremental process model, an android mobile application was designed and developed, the application was evaluated using the PACMAD usability model, the incremental testing were adopted. The findings of the research show that there are different teaching strategies used in teaching and learning of French. Features were incorporated on the mobile application that are believed to enhance teaching and learning of French at beginner level. The PACMAD usability model determined what other French applications (which were purposively selected) lack and a comparison was carried out between the selected applications. The results of the comparison determined what should be included in the French mobile application for beginner level for children at the FNCC.
Sebuah Review Perancangan Website Sebagai Media Pemasaran Dan Penjualan Industry XYZ Florist

In the xyz florist industry business, facilities and infrastructure are urgently needed in conducting marketing and sales activities, so that the xyz florist industry can be known to the wider community and increase turnover. Currently the marketing carried out by the xyz florist industry is still poorly managed. Marketing and sales are still done conventionally by opening small booths on the roadside during valentine, using brochures, and offering to work with other businesses. To overcome these problems, website design is done to support the marketing and sales activities of the xyz florist industry. Website marketing and sales design using CMS (Content Management System) tools. With this website, marketing and sales activities will be maximized so that the turnover of the xyz florist industry can increase.
The current profile of the undergraduate student of the Faculty of Distance Learning of the UMNG and their preference when studying a postgraduate course

This article seeks to update the profile of students studying undergraduate degrees in virtual-distance form, enrolled in the Faculty of Distance Learning (Faedis) of the Universidad Militar Nueva Granada, making a comparison between the periods 2015-II and 2018-II, comparing their economic, demographic and institutional aspects. The descriptive methodology was used by conducting surveys of a sample of 14.2% of the active student community. It was observed that the majority of the students who answered the survey are in the age range of 26 to 45 years, which shows that it is an adult-young population; however, the 17-20 year-old group shows a significant increase. Likewise, students promptly demand that the Faculty offers a greater number of specializations and master's degrees, and among their interest is the Master’s Degree in Senior Management (MBA), and they hope that their focus will be advanced.
PKM Peningkatan Kompetensi Guru SMK Dalam Bidang Komputer Akuntansi

The MYOB and Spreadsheet program is an accounting program taught at the Vocational Business and Management. Both of these programs are test material on the Expertise Competency Test. But with the development of technology, there are several other programs that need to be mastered by the students, which is accurate accounting program. Accurate programs have been widely used by companies in managing finances. For the reason, the Vocational School of Business and Management should answer the challenges of the times by introducing this program as additional expertise for their students. From this problem, the Computer Accounting training program for Vocational School Business and Management teachers is needed as an effort to improve teacher understanding and competence. The training programs are: Spreadsheets, and Accurate. This training is given to teachers of Vocational Business and Management in the Kabupaten Pesisir Selatan. This area was chosen because, vocational teachers in the South of West Sumatra have difficulty accessing competency and science development training. Implementation of these activities take place from 4-7 September 2019. The implementation is done in three stages, namely the stages of exposure of the material, the integrated exercise phases and stages of evaluation. At the end of the activity it was found that there was an increase in the understanding of the participants regarding the concept of computer accounting with a value level of understanding that could be achieved was 80%. As for understanding the practice of preparing financial statements using an accounting program, participants can complete cases with a completion rate of 86.20% for the accurate program, and 93.10% for the spreadsheet. Furthermore, the improvement in teacher competency is expected to be transferred to students and reflected in the value of the Skills Competency Examination and the acceptance of graduates in the world of work.Keywords: Competence, accourate, spreadsheet, excel
A Dynamic and Flexible State Model for Rainfall Nowcasting

&amp;lt;p&amp;gt;We present a dynamic state model estimation method for rainfall nowcasting in which we assume that the short term spatio-temporal evolution of rainfall can be approximated by a linear state model with stochastic perturbations. &amp;amp;#160;We estimate the model parameters using radar reflectivity measurements for one-step as well as multiple-step ahead rainfall nowcasting. If the rainfall intensity at location &amp;lt;strong&amp;gt;x&amp;lt;/strong&amp;gt; and time index t is given by u&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt;(&amp;lt;strong&amp;gt;x&amp;lt;/strong&amp;gt;), then the overall rainfall field intensity vector at any time t over N pixels (of the target area) can be represented by &amp;lt;strong&amp;gt;u&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt; = [u&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt;(&amp;lt;strong&amp;gt;x&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;N&amp;lt;/sub&amp;gt;),...u&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt;(&amp;lt;strong&amp;gt;x&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;N&amp;lt;/sub&amp;gt;)]&amp;lt;sup&amp;gt;T&amp;lt;/sup&amp;gt;&amp;lt;sub&amp;gt;.&amp;lt;/sub&amp;gt; Following the aforementioned formalism, the spatio-temporal evolution of the rainfall field can be described by the following linear state model given by&amp;lt;br&amp;gt;&amp;lt;strong&amp;gt;u&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt; = &amp;lt;strong&amp;gt;H&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt;&amp;lt;strong&amp;gt;u&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t-1&amp;lt;/sub&amp;gt; + &amp;lt;strong&amp;gt;q&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt;&amp;lt;br&amp;gt;where &amp;lt;strong&amp;gt;H&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt; is an unknown time-varying state-transition matrix of dimensions NxN and &amp;lt;strong&amp;gt;q&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt; is a stochastic process noise vector of length N. We present an iterative least squares based method to estimate &amp;lt;strong&amp;gt;H&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t &amp;lt;/sub&amp;gt;and explore simpler algebraic structures (e.g., scaled affine transformations) to reduce the numbers of unknown parameters during estimation. We evaluate the performances of the proposed model using simulations and radar reflectivity data from the Royal Netherlands Meteorological Institute (KNMI). We observe that the nowcasting performances strongly depend on the size of the target area (number of pixels N), the type of events as well as the parameterization of &amp;lt;strong&amp;gt;H&amp;lt;/strong&amp;gt;&amp;lt;sub&amp;gt;t&amp;lt;/sub&amp;gt;. The key advantage of the proposed approach over classical nowcasting methods based on Lagrangian persistence is the possibility to incorporate prior information about future rainfall evolution from external sources of information such as satellites or numerical weather prediction models during the estimation of the parameters.&amp;lt;/p&amp;gt;
Mathematical model of the spread of coronavirus infection COVID-19 with software implementation

This article considers a mathematical model of the spread of COVID-19 coronavirus infection without taking into account vaccination, which allows us to obtain evaluating information about the virus pandemic.There is also a software implementation of the mathematical model.
Entropy Ensemble Filter: Does information content assessment of bootstrapped training datasets before model training lead to better trade-off between ensemble size and predictive performance?

&amp;lt;p&amp;gt;Machine learning is the fast-growing branch of data-driven models, and its main objective is to use computational methods to become more accurate in predicting outcomes without being explicitly programmed. In this field, a way to improve model predictions is to use a large collection of models (called ensemble) instead of a single one. Each model is then trained on slightly different samples of the original data, and their predictions are averaged. This is called bootstrap aggregating, or Bagging, and is widely applied. A recurring question in previous works was: how to choose the ensemble size of training data sets for tuning the weights in machine learning? The computational cost of ensemble-based methods scales with the size of the ensemble, but excessively reducing the ensemble size comes at the cost of reduced predictive performance. The choice of ensemble size was often determined based on the size of input data and available computational power, which can become a limiting factor for larger datasets and complex models&amp;amp;#8217; training. In this research, it is our hypothesis that if an ensemble of artificial neural networks (ANN) models or any other machine learning technique uses the most informative ensemble members for training purpose rather than all bootstrapped ensemble members, it could reduce the computational time substantially without negatively affecting the performance of simulation.&amp;lt;/p&amp;gt;
Comparative Study of Learning and Execution of Bipedal by Using Forgetting Mechanism in Reinforcement Learning Algorithm

A bipedal which resembles humans are programmed for performing specific tasks.The proposed work scope was to design, program, and validate RL based algorithms for navigation of Bipedal walking.The bipedal navigation implements forgetting mechanism in the traditional Q-learning algorithm which results in learning walk without prior learned dynamics of the system.Simulations were carried out for all three joints of each leg for evaluating the feasibility of the forgetting mechanism algorithm, the optimal policy, and the optimal actions for navigation.The reinforcement control algorithms for bipedal had been applied to take the self-decision.Bipedal senses the current state and moves to the goal state by learning or by using data stored in the lookup table in the execution phase.This reduces the learning and execution number of iterations of the bipedal by a considerable amount but total learning and execution time remains approximately the same.Simulation is done on the MATLAB platform and SimSpace Multibody dynamics toolbox to verify results.The bipedal model performs object identification, object localization in the dynamic environment, learns through the RL controller then executes to reach the object identified.
An Obstacle Avoidance Approach Based on Naive Bayes Classifier

&lt;p&gt;Obstacle avoidance plays an important role in mobile robot. However, the traditional methods of obstacle avoidance have difficulty in distinguishing multiple obstacles by edge detection. In this paper, the traditional obstacle avoidance methods are improved to realize the function of multi-obstacle avoidance. Regarding the implementation process, the LiDAR is used instead of the camera, which reduces the difficulty of handling image noise and achieves reliable obstacle detection. It can accurately detect the borders of the nearest obstacle even in complex environments and perform obstacle avoidance. Regarding the obstacle avoidance prediction, the model training is performed through the Naive Bayes classifier based on the three attributes of the velocity of the robot, the left boundary of the obstacle and the right boundary of the obstacle. In the training process, dataset was expanded to enhance the accuracy of classifier model. When the robot goes forward, the improved method enables the robot to move at a higher velocity. The results show the feasibility of advanced obstacle avoidance method by simulation.&lt;/p&gt;
Access Logs – Underestimated Privacy Risks

Access logs may offer service providers a lot of information about specific users.Depending on the type of the service offers, the operator is capable of obtaining the user's IP, location, communication habits, device information and so on.In this paper, we analyze a sample instant messenger service that is operating for a certain period of time.In our sandbox, we gathered enough data to correlate user communication habits with their localization, and even contacts.We show how seriously metadata may impact the user's privacy and make some recommendations about mitigating the quantity of data collected in connection with this type of services.
What’s the Matter? Knowledge Acquisition by Unsupervised Multi-Topic Labeling for Spoken Utterances

Systems such as Alexa, Cortana, and Siri appear rather smart. However, they only react to predefined wordings and do not actually grasp the user’s intent. To overcome this limitation, a system must understand the topics the user is talking about. Therefore, we apply unsupervised multi-topic labeling to spoken utterances. Although topic labeling is a well-studied task on textual documents, its potential for spoken input is almost unexplored. Our approach for topic labeling is tailored to spoken utterances; it copes with short and ungrammatical input. The approach is two-tiered. First, we disambiguate word senses. We utilize Wikipedia as pre-labeled corpus to train a naïve-bayes classifier. Second, we build topic graphs based on DBpedia relations. We use two strategies to determine central terms in the graphs, i.e. the shared topics. One focuses on the dominant senses in the utterance and the other covers as many distinct senses as possible. Our approach creates multiple distinct topics per utterance and ranks results. The evaluation shows that the approach is feasible; the word sense disambiguation achieves a recall of 0.799. Concerning topic labeling, in a user study subjects assessed that in 90.9% of the cases at least one proposed topic label among the first four is a good fit. With regard to precision, the subjects judged that 77.2% of the top ranked labels are a good fit or good but somewhat too broad (Fleiss’ kappa κ = 0.27). We illustrate areas of application of topic labeling in the field of programming in spoken language. With topic labeling applied to the spoken input as well as ontologies that model the situational context we are able to select the most appropriate ontologies with an F1-score of 0.907.
DEVELOPMENT OF THE PARALLEL ANT COLONY OPTIMIZATION ALGORITHM BASED ON THE TRAVELING SALESMAN PROBLEM

The purpose of this study is to develop software to conduct research on the effectiveness of the parallel ant colony optimization algorithm applied to the shortest-path search. The algorithm is based on the behavior principles of an ant colony as well as individual ants, who search the shortest path to the food source. In order to study the effectiveness of the ant colony optimization algorithm one of the most common optimization problems was applied, specifically – a travelling salesman problem.The algorithm shows its efficiency and stability only on the sufficient amount of resources. Its resource usage and therefore the working time grows rapidly together with the growth of the size of the task. In order to solve this problem the parallelism is applied. It is also вused to reduce the premature convergence to the local optimum, as well as to stimulate diversity and search of the alternative solutions of the same problem.In the proposed software each independent ant colony is developed on the separate computer core. Each colony exchanges the best individuals with other colonies in a certain number of generations. The topology of this interaction has the form of «each with each».According to the calculations, we can conclude, that the efficiency of the ant colony optimization algorithm does not change with the increase in the number of kernels (individual populations). However, there is a slight change of the reliability of the particular settings. But at the same time we can observe the substantial increase in operation speed. Thus, the parallelization of the ant colony optimization algorithm can significantly reduce the execution time of a software application without compromising reliability.The ant algorithm is used to solve complex optimization problems. Typical areas of the algorithm application include scheduling, resource and job allocation, transport routing, etc. For this reason, the problem of increasing the efficiency of the algorithm calculations is quite topical.
Psychological and Pedagogical Resource of Teching and Professional Activity Concept in the Conditions of Digital Learning at the University. Part 2. Educational and Professional Motivation and Estimate

This study is a continuation of a theoretical research of the methodological foundations of modern digital learning. The authors analyse the basic principles of organizing e-learning in the context of ideas of traditional for Russian pedagogy and psychology an «activity approach». This part of the research is focused on such the significant components of the educational process as motivation for learning and assessment of learning. In face-to face education and in e-learning format these phenomena play an important role and connected with the problem of effectiveness of educational interventions. They have a psychological basis founded on the individual psychological characteristics of the audience, which must be taken into all formats of training.