Reviewerly/exHarmony huggingface dataset:
THE INFLUENCE OF GIVING AND GETTING FEEDBACK STRATEGY TOWARDS STUDENTS’ WRITING ABILITY AT THE ELEVENTH GRADE OF SMK MUHAMMADIYAH TUMIJAJAR TULANG BAWANG BARAT IN THE ACADEMIC YEAR OF 2020/2021

This research aimed to know the influence of Giving and Getting Feedback Strategy towards students’ writing ability. In this research the writer used experimental method. The population was 285 students in 11 classes. The sample was taken by using cluster random sampling technique. The writer took two classes as the sample of research, the first class was XI TKR A as experimental class, there are 26 students and the second class was XI TBSM A as control class, there are 22 students. It consisted 0f 48 students.  In collecting the data, to measure students’ writing ability, the writer used writing test. In calculating the data analysis, the writer used t-test formula. Based on the data analysis, the writer got the result that was accepted. It was obtained that = 4.15, for α = 0.05 was 2.02 and for α =0.01 was 2.70 (4.15 > 2.02 62.77. Based on the result of the research, it is clear that Giving and Getting Feedback Strategy can improve students’ writing ability.
IMPROVING STUDENTS’ ACHIEVEMENT IN WRITING DESCRIPTIVE TEXT THROUGH THINK PAIR SHARE TECHNIQUE AT EIGHT GRADE OF MTS. SWASTA AL WASHLIYAH 19 PERCUT

The objective of this research is to identify the types of error in using simple present tense in writing descriptive that made by eight grade students of MTsN 2 Deli Serdang, to identify the cause of students make error in using simple present tense in writing descriptive text at MTsN 2 Deli Sedang. This research is qualitative research. The object of research was the eight grade students of MTsN 2 Deli Serdang. The technique of colleting the data are test and questionnaire. The researcher use the technique of analyzing the data from James and Brown. The total of result from students’errors are 49 errors. Then, the students make error in omission are 21 students’ (42,85%), addition 11 students’ (22,44%), misformation 15 students’ (30,61%), and misordering 2 students’ (4,08%). For result of questionnaire the students’ get cause from context of learning, so to minimize he error outcome in simple present tense, the researcher suggest that the teacher should give the explanation how to write a descriptive text to be a good sentence and also give more examples to the students because more example can make the students understand about writing descriptive text. Keywords: descriptive tex, writing, students, present tense
Evaluating Word Embedding Models for Malayalam

An evaluation of static word embedding models for Malayalam is conducted in this paper. In this work, we have created a well-documented and pre-processed corpus for Malayalam. Word vectors were created for this corpus using three different word embedding models and they were evaluated using intrinsic evaluators. Quality of word representation is tested using word analogy, word similarity and concept categorization. The testing is independent of the downstream language processing tasks. Experimental results on Malayalam word representations of GloVe, FastText and Word2Vec are reported in this work. It is shown that higher-dimensional word representation and larger window size gave better results on intrinsic evaluators.
АНАЛІЗ ІНФОРМАЦІЙНОЇ СИСТЕМИ ПІДТРИМКИ ОСВІТНЬОГО ПРОЦЕСУ ЗА ДОПОМОГОЮ ТЕХНОЛОГІЇ IоT

Urgency of the research. The issue of using IoT technology in education is relevant, especially in the period of distance learning.Target setting. Most teachers cannot constantly monitor and manage the learning processes of higher education students in real time, which has a negative impact on the quality of education in general.Actual scientific researches and issues analysis. The latest open access publications covering the areas of use of IoT technology were considered. Also considered the most popular examples of the use of IoT in education.Uninvestigated parts of general matters defining. Improving the system of classes in order to improve the educational process during distance learning, by tracking attendance and focusing on lectures of higher education students.The research objective. Analyze how IoT affects the quality of the educational process. To describe a system that can facilitate the work of teachers, namely to help control class attendance and determine interest in the subject, which will further help to objectively assess applicants for higher education.The statement of basic materials. The existing IoT technologies in education are analyzed. A system that can be used to track the presence of applicants in pairs, as well as to control their attention and determine interest in the subject in real time is described.Conclusions. The analysis proposed in the article will create an information system to support of the educational process using IoT technology, which in the future will facilitate the organizational work of a teacher and affect the overall quality of student assessment.
Contextually Adaptive Multimodal Mixed Reality Interfaces for Dismounted Operator Teaming with Unmanned System Swarms

US dismounted Special Operations Forces operating in near-threat environments must maintain their Situation Awareness, survivability, and lethality to maximize their effectiveness on mission. As small unmanned aerial systems and unmanned ground vehicles become more readily available as organic assets at the individual Operator and team level, these Operators must make the decision to divert attention and resources to the control of these assets using touchscreens or controllers to benefit from their support capabilities. This paper provides an end-to-end overview of a solution development process that started with a broad and future-looking capabilities exploration to address this issue of unmanned system control at the dismounted Operator level, and narrowed to a fieldable solution offering immediate value to Special Operation Forces. An overview of this user-centric design process is presented along with lessons learned for others developing complex human-machine interface solutions for dynamic and high-risk environments.
Optimalization Interactive Book Augmented Reality (IBAR) for Lesson on Student STEM for Improving 21st-Century Skills (21-CS)

Physics specifically studies natural phenomena or matter in the scope of space and time. Natural phenomena are formed when there is an interaction between matter and energy. These interactions are mostly physical principles based on Mechanics, Electricity, Magnetism, Thermodynamics and Optics. It is often difficult for students to understand concepts because they cannot visualize these phenomena, thus exacerbating the students' lack of interest in learning STEM. Augmented reality (AR) is effective in showing the visualization and interaction of three-dimensional virtual objects like real so that it can facilitate the learning experience. This study aims to optimize the Interactive Book Augmented Reality (IBAR) for Lesson on Student STEM to improve 21st-Century Skills (21-CS) on the concept of optical geometry. Experimental research was conducted to determine the impact of the IBAR intervention on 21-CS consisting of Critical Thinking, Collaboration, Communication, and Creativity. The study was conducted on 90 physics education students, who were divided into two groups, the IBAR teaching group (N=45) and the conventional teaching group (N=45). The IBAR teaching group uses STEM-based learning with the help of IBAR while the conventional teaching group uses STEM-based learning without using IBAR. The results showed that the STEM-based learning environment assisted by IBAR had a significant positive impact on students' Critical Thinking, Collaboration, Communication, and Creativity compared to the STEM teaching group without using IBAR. The IBAR experience helps students visualize abstract concepts of Physics and if microscopic phenomena can be understood by students, then macroscopic phenomena will also be easy to understand.
Emerging market firm’s persistence with failed innovations

We explore the conditions under which firms persist with failed innovations. While prior literature suggested firm’s persistence with failure may vary by their experience with novel vs incremental innovations, we argue the institutional experience of the innovating firm can explain their persistence via their ability to interpret failure events. Firms from advanced economies may react to failure by persisting with innovations after setback, whereas firms from emerging markets may react to failure by abandoning failed innovations. Additionally, emerging market firms may transform negative feedback from one type of innovation into developments for another (i.e., switch the type of innovations they undertake). We test hypotheses using FDA-approved drugs (1998-2019). Our analysis provides insights on learning from failure and innovation efforts in an international business context, and their consequences.
GEOGEBRABOOK: PRELIMINARY RESEARCH WITH PRIMARY SCHOOL STUDENTS

GeoGebraBook is a pedagogical resource in the form of a digital book created and developed for free on the GeoGebra online page.This paper presents preliminary research using GeoGebraBook to support explaining the area of a flat figure and the volume of a solid.The study was based on qualitative and quantitative research and involved forty-four Primary school students.Findings suggest that students are receptive to an exploration of GeoGebra applets, get involved in tasks and declare advantages using GeoGebraBook for their learning.The students identified the problem, investigated, debated, interpreted and produced possible justifications and solutions.We observed that the students collaborated to solve the proposed questions in a playful way.This didactic proposal proved to be an enriching experience for students.It served as a basis for the development of a new procedure for the consolidation of mathematical concepts based on the GeoGebra dynamic geometry app.
Mobile operating systems: survey

Mobile phones are seen as a fundamental limitation across the globe owing to their varying ages, functions, and uses, since they are utilized as a method of communication in our everyday life for the numerous services and apps they offer. This paper examines the characteristics of the major mobile operating systems, including iOS, Android, and Windows Phone,  makes comparisons based on key criteria.
The Reasonable Construction Path of Cooperative Partnership of Application-Oriented Universities from the Perspective of Synergy Theory

The education and teaching of application-oriented colleges and universities is mainly for enterprises to cultivate talents with strong practical and innovative ability. In order to improve the teaching quality in an all-round way, the personnel training mode of integration of production and education and school enterprise cooperation should be carried out, and the close cooperation with enterprises should be strengthened to meet the market demand and cultivate excellent applied talents. This paper first introduces the applicability of synergy theory, analyzes the current situation of school enterprise cooperation in application-oriented colleges and universities from the perspective of synergy theory, and finally puts forward specific paths for the reasonable construction of cooperative partnership between application-oriented colleges and universities, so as to innovate the ideas of schools and enterprises, promote the exchange and interaction of information, and seek common development.
Pedagogical factors of preparation of future teachers of biology for professional-pedagogical activities

The article reveals the pedagogical factors of training future biology teachers for professional and pedagogical activities. Implement an integrated approach to modeling in the educational process based on the goal of the object of study, the pedagogical skills of the teacher, innovative and information technologies that allow describing various aspects of the process, integrating interactive teaching and learning methods. tools, ways to effectively use opportunities to solve problems.
AI Applications in Education

In recent years, led by the wave of artificial intelligence, “artificial intelligence + education” has become a very hot topic. More and more traditional educational institutions have begun to organize and layout the field of ARTIFICIAL intelligence education. Training artificial intelligence talents will become an important mission of education. Meanwhile, educational methods will change with the development of artificial intelligence, and the deep integration of artificial intelligence and education will become the development trend of the future education world. The future has come, when education and artificial intelligence meet, what kind of spark will be produced? This paper mainly discusses the application, research status and development trend of artificial intelligence in the field of education, as well as the deep integration of artificial intelligence and education.
Semi-Automatic Multiple Camera Systems

Several sport performance analysis systems now exist on the commercial market providing different features of player tracking capacity. In this chapter, examples of semi-automatic camera systems will be introduced, and their common limitations will be summarized. In addition, scientific publications regarding the validity and reliability of these systems will be addressed, and the information will be complemented with the described characteristics of the manufacturer and FIFA certificates.
Context-aware Memory Enhanced Transformer for End-to-end Task-Oriented Dialogue Systems

Recent studies try to build task-oriented dialogue systems in an end-to-endmanner and the existing works make great progress on this task. However, thereis still an issue need to be further considered, i.e., how to effectivelyrepresent the knowledge bases and incorporate that into dialogue systems. Tosolve this issue, we design a novel Context-aware Memory Generation module tomodel the knowledge bases, which can generate context-aware entityrepresentations with perceiving relevant entities. Furthermore, we incorporatethis module into Transformer and propose Context-aware Memory EnhancedTransformer (CMET), which can aggregate information from the dialogue historyand knowledge bases to generate better responses. Through extensiveexperiments, our method can achieve superior performance over thestate-of-the-art methods.
Vision-based robot identification and tracking

Abstract In recent years, computer vision technology in the field of science and technology has been stubbornly high, making a lot of scientific and technical personnel involved in the research gate technology. Depth learning, artificial intelligence in recent years, often around our ears, vision technology is occupying a place in the field of artificial intelligence. This paper mainly studies the recognition and localization of robots based on vision. The mobile robot is detected by the background difference method, and the background model is established by the Gaussian background modeling. Recognizing the color and number tags on the robot for matching the robot’s features. Real-time positioning of the robot under the premise of the same background.
APLIKASI RESEP OBAT TRADISIONAL UNTUK MENGATASI ANEKA PENYAKIT BERBASIS ANDROID

Most people in Batam now if they feel sick they always go to the pharmacy or hospital, even though before going to the hospital or pharmacy, people can treat themselves with traditional medicine, this is felt to be helpful for the community before going to the pharmacy or hospital. Even though the demand for traditional medicine in the Batam area is still high, the existing traditional medicine shops are very difficult or limited, this is felt as a problem for Batam residents who want to treat their illness with traditional medicine. Based on this, many residents are also looking for traditional recipes on the internet because they find it difficult to find traditional drug stores, but sometimes the source from the internet is sometimes unknown from where even most on the internet there are many fake recipes circulating that can harm the community. The method used in this study uses the RAD model, this research produces an android application for traditional medicine recipes.
Max-Affine Spline Insights Into Deep Generative Networks

We connect a large class of Deep Generative Networks (DGNs) with spline operators in order to derive their properties, limitations, and new opportunities. By characterizing the latent space partition and per-region affine mappings, we relate the manifold dimension and approximation error to the sample size, provide a theoretically motivated ``elbow method'' to infer the intrinsic dimension of the manifold being approximated, study the (not always) beneficial impact of dropout/dropconnect, and demonstrate how the DGN generated piecewise affine surface can be ``smoothed'' to facilitate latent space optimization as used in inverse problems. The per-region affine subspace defines a local coordinate basis; we provide necessary and sufficient conditions relating those basis vectors with disentanglement and demonstrate how to interpret the DGN learned parameters. We also derive the output probability density mapped onto the generated manifold in terms of the latent space density, which enables the computation of key statistics such as its Shannon entropy. This finding also enables us to highlight the source of training instabilities when the target density is multimodal: as the modes gets further apart and/or more concentrated, as the approximant DGN per-region mappings must have increasing singular values leading to large amplitude layer weights and causing training instabilities.
Multi-scale Global Reasoning Unit for Semantic Segmentation

Obtaining context information in a scene is an essential ability for semantic segmentation. GloRe [1] learns to infer the context from a graph-based feature constructed by the Global Reasoning unit. The graph nodes are features that are segmented into regions in image space, and the edges are relationships between nodes. Therefore, a failure to construct the graph results in poor performance. In this study, to resolve this problem, we propose a novel unit to construct the graph using multi-scale information. We call it Multi-scale Global Reasoning Unit. It considers the relationship between each region that retains detailed multi-scale spatial information. Specifically, the proposed unit consists of a Feature Aggregation Module and a Global Reasoning Module. The former selects the features required to construct the graph using the multi-scale features. The latter uses GloRe to infer the relationship from the features. The unit is trained in an end-to-end manner. In experiments, we evaluate the effectiveness of the proposed method on Cityscapes and Pascal-context datasets. As a result, we confirmed that the proposed method outperforms the original GloRe.
Cloud Computing for MATLAB and R Users: Part III – Multicore Virtual Machine Parallel Computing Environment

Part III narrates instructions on harnessing the power of multicore virtual machine parallel computing environments, suitable for large dataset and heavy computational needs. Also, presents guidance to use the storage cloud (S3) along with computing cloud based on Amazon Elastic Compute Cloud (EC2).
WordCloud Generation using NLP

Natural Language Processing is one of the most powerful tool that we have today for machines to understand how and what we are thinking and saying, what we mean with the power to understand sentence in various languages and process it to give us desired outputs in various instances like frequency of a particular word, summarization etc. WordCloud is one such application where we can using concepts of NLP to create beautiful and aesthetically pleasing, decorative wordclouds which can be used for various purposes such as on websites, greeting cards etc.
A Web-based Visualization Tool for Multispectral Images

Multispectral imaging has been a valuable technique for discovering hidden texts in manuscripts, learning the provenance of antique books, and generally studying cultural heritage objects. Standard software used in displaying and analyzing such multispectral images are often complex and requires installation and maintenance of custom packages and libraries. We present an easy-to-use web-based multispectral imaging visualization tool that enables simultaneous interaction with the information captured in different spectral bands.
A search tool in Turkish using contextual vectors

Natural Language Processing (NLP) field experienced considerable improvement in the year 2018. With the help of the transfer learning approach BERT (Bidirectional Encoder Representations) introduced by Google and approaches following it, state-of-the-art results were achieved in many NLP tasks. It became easier to research in this direction for Turkish with the help of published Turkish pre-trained BERT models in February, 2020. A new opportunity has arisen on research and development of contextual embeddings-based document retrieval instead of keyword-based for Turkish. This work introduces a BERT-contextual-vector-based Turkish text search tool. Sample queries and responses are presented to demonstrate the benefits it brings.
A Digital Repository of Science Assets as a Tool for Knowledge Transfer to Manufacturing Enterprises

Knowledge management is a process aimed at enriching and effectively using knowledge assets in various areas of business operations.It also applies to manufacturing enterprises that offer tangible products combining it with the art of processing information and intellectual assets into added value for the customer.A characteristic feature of manufacturing enterprises is assigning their employees a double role: a knowledge user and, at the same time, an internal source of specialist knowledge.In the situation of dynamically changing market conditions, there is an additional need to acquire new knowledge (in practice: often to buy knowledge) from the company's environment.A solution in the above-mentioned scope in Poland may be digital repositories of science assets as tools for knowledge transfer to SMEs.Research institutes are an important element in the process of knowledge transfer from scientific units to the economy (e.g. they offer their services in open access).The paper presents the concept of such a repository preceded by a diagnosis of the existing state, an analysis of the recipients of the deposited content and the examination and analysis of the requirements of potential users of the repository.