Reviewerly/exHarmony huggingface dataset:
La clase invertida: el papel de las actividades previas en el rendimiento final del alumno

The flipped classroom model consists on a re-arrangement of the traditional instructional model, in the sense that the lectures are placed out of the classroom whereas the classroom time is devoted to promote a more active and deeper learning in the students. This innovation was aimed to study the impact of viewing videos with questions embeded along it on the final achievent of the students. Results showed that there is a marginal relationship between watching videos and the score on the final test of the course. In addition, a possitive correlation between the scores obtained on the questions of the videos and the score on the final test was obtained. This results are in accordance with the idea that embeding questions along the videos leads to a more profound proccessing of the information, and therefore, a better learning.
SurfaceFleet: Exploring Distributed Interactions Unbounded from Device, Application, User, and Time (UIST 2020 Paper)

Knowledge work increasingly spans multiple computing surfaces. Yet in status quo user experiences, content as well as tools, behaviors, and workflows are largely bound to the current device—running the current application, for the current user, and at the current moment in time. SurfaceFleet is a system and toolkit that uses resilient distributed programming techniques to explore cross-device interactions that are unbounded in these four dimensions of device, application, user, and time. As a reference implementation, we describe an interface built using Surface Fleet that employs lightweight, semi-transparent UI elements known as Applets. Applets appear always-on-top of the operating system, application windows, and (conceptually) above the device itself. But all connections and synchronized data are virtualized and made resilient through the cloud. For example, a sharing Applet known as a Portfolio allows a user to drag and drop unbound Interaction Promises into a document. Such promises can then be fulfilled with content asynchronously, at a later time (or multiple times), from another device, and by the same or a different user. Video embedded below, or watch on YouTube
Teacher Interactive Educational Content Designing

A modern educational process requires system development and modernization of information resources. A special attention is paid to the designing of electronic educational content that will help to organize the basic and additional educational process in educational institutions. Designing of the electronic educational content requires: for teachers of educational institutions to be ready to design the content and apply it in the educational process; the content should meet the didactic, physiological, health standards; the content should be introduced to the learning environment of an educational institution and provide all the participants of the educational process with direct access to it; the content should improve the quality of the educational process through the active use of interactive exercises; intermediate knowledge assessment and prompt access to educational and library resources. Development of interactive educational content in contrast to traditional and traditional and active content requires extra knowledge and communicative skills. However, as practice shows such competence is poorly developed with almost every teacher of educational institutions with the exception of computer science and math teachers. That is why teachers of educational institutions should take a refresher course on design and development of electronic educational content. This course will help them to acquire special competence in content designing and teach them how to apply the content in the educational process. Teachers will also create the electronic educational content on the subject they teach. This course will help to create a high-quality interactive educational content and will improve teacher’s knowledge and communicative skills.
APLIKASI PENGOLAHAN DATA PREDIKSI KEMISKINAN BERBASIS DATA E-COMMERCE MENGGUNAKAN METODE K-NEAREST NEIGHBOR DAN SELEKSI FITUR INFORMATION THEORETICAL BASED

Abstrak Badan Pusat Statistik (BPS) merupakan lembaga pemerintahan yang berjalan dibidang kebutuhan ekonomi dan sosial rumah tangga. Setiap dua tahun sekali BPS melakukan Susenas (Survei Sosial Ekonomi Nasional) untuk mengetahui bagaimana memprediksi tingkat kemiskinan di Indonesia. Setiap tahun BPS bertugas untuk memberikan informasi bagaimana masyarakat dalam bidang ekonomi dan sosialnya. Dalam perkembangan yang sangat pesat ini, banyak metode untuk menentukan prediksi tingkat kemiskinan. salah satunya dengan perkembangan E-commerce yang sangat pesat di Indonesia dan mampu menentukan tingkat kemiskinan di Indonesia saat ini. Oleh karena itu, penulis membangun sebuah aplikasi untuk melengkapi BPS dalam memprediksi tingkat kemiskinan di suatu daerah, yaitu aplikasi prediksi tingkat kemiskinan berbasis data e-commerce dengan menggunakan metode K-Nearest Neighbor dan seleksi fitur Information Theoretical Based. Aplikasi ini dibangun dengan menggunakan model waterfall, menggunakan Bahasa pemograman Python serta basis data MySQL. Dengan adanya aplikasi ini dapat diharapkan dapat melengkapi Sensus dan Susenas BPS dalam memprediksi tingkat kemiskinan di suatu daerah. Kata Kunci: BPS (Badan Pusat Statistik), model waterfall, Python, MySQL, K-Nearest Neighbor, Information Theoretical Based. Abstract The Central Statistics Agency (BPS) is a government agency that runs in the household economic and social needs. Every two years BPS conducts Susenas (National Socio-Economic Survey) to find out how to predict poverty levels in Indonesia. Every year BPS is tasked with providing information on how the community is in their economic and social fields. In this very rapid development, there are many methods to determine predictions of poverty levels. one of them is with the rapid development of E- commerce in Indonesia and is able to determine the level of poverty in Indonesia today. Therefore, the authors built an application to complement BPS in predicting poverty levels in an area, namely the application of poverty rate prediction based on e-commerce data using the K-Nearest Neighbor method and the selection of Information Theoretical Based features. This application was built using the waterfall model, using the Python programming language and the MySQL database. With this application, it is expected to be able to complete the BPS Census and Susenas in predicting poverty levels in an area. Keywords: The Central Statistics Agency (BPS), waterfall, Python, MySQL, K-Nearest Neighbor, Information Theoretical Based.
Effect of aging time on strength properties and plasticity of Jomon ware

The lifestyle of Jomon people is changed by invention of Jomon ware. Jomon ware is a very interesting device from the view point of materials strength. However, mechanical test cannot be carried out to Jomon ware due to its high historical value. The purpose of the study is to investigate the effect of aging time on strengths of Jomon ware materials after kneading clay in manufacturing process. The specimens are manufactured based on the reproduction process of Jomon ware. Bending strength and fracture toughness are experimented by four point bending testing. Conclusions are as follows; 1) These strengths seem to become higher with increase in aging time. 2) Jomon people had proper knowledge for the view point of materials strength. 3) The changing of mixing ratio and aging time affect the strength and easiness of molding.
Optimal 3D Path Planning for the Delivery Quadcopters Operating in a City Airspace

Path planning is a path used in guiding Unmanned Aerial Vehicles (UAVs), the three dimensional optimal path is calculated by A-star and Dijkstra algorithms proposed in the three dimensional environments. Simulation environments consist of a hypothetical environment and a realistic environment and including static obstacles or the shapes of modern buildings. This paper is to find the shortest path and avert obstacles to from the starting off node to the landing node and finding the shortest optimal path on the network nodes using algorithms proposed through the formation of a three dimensional network by connecting link nodes with adjacent starting off node and landing node so that robots can perform their tasks as quickly possible in the environment. The simulation environment has been established to evaluate the performance of the A-star and Dijkstra algorithms. The results proved that A-star algorithm outperformed Dijkstra's algorithm in the execution time factor in finding the optimal path only, but they are similar in distance factor and passe nodes in the optimal path in all cases considered.
LibGuides: ProQuest Resources: Home

The Langston Hughes Memorial Library recently acquired to new databases in an effort to continue to provide appropriate research resources to support the curricular endeavors at Lincoln University.
RBD를 활용한 복합설비의 경제성 분석 프로세스 연구

The industrial structure of modern society consists of various fields, but still a large part is manufacturing based on large facilities. Therefore, various studies are being conducted to efficiently operate large facilities. Among other things, recent research on facility maintenance has evolved from Total Productive Maintenance (TPM), an enterprise-wide view of maintenance, to Reliability Centered Maintenance (RCM), a reliability-oriented maintenance method, and PHM (Prognostics and Health Management), which monitors the integrity of the facility and predicts failures to minimize maintenance-related Losses. However, research into the economic analysis of facilities is not yet active.In this paper, the process of calculating the maintenance cost using the reliability block diagram (RBD) and analyzing the economic value of the facility is presented.
Natural Language Response Generation from SQL with Generalization and Back-translation

Generation of natural language responses to the queries of structured language like SQL is very challenging as it requires generalization to new domains and the ability to answer ambiguous queries among other issues.We have participated in the CoSQL shared task organized in the IntEx-SemPar workshop at EMNLP 2020.We have trained a number of Neural Machine Translation (NMT) models to efficiently generate the natural language responses from SQL.Our shuffled backtranslation model has led to a BLEU score of 7.47 on the unknown test dataset.In this paper, we will discuss our methodologies to approach the problem and future directions to improve the quality of the generated natural language responses.
PSIKOSOSIAL ANAK DALAM KUMPULAN DONGENG BAGAI BUMI BERHENTI PERPUTAR DAN SEJUTA WARNA PELANGI KARYA CLARA Ng

The purpose of this study is to: Describe the Psychosocial Form of1) Trust versus Suspicion. 2) Autonomy versus Shyness and Hesitation. 3) Initiative versus Error form. 4) Integrity versus Despair in a collection of Tales Like Earth Stop Rotating and Million Colors of Rainbow by Clara Ng.To understand and appreciate literary works (dogeng), researchers use a formalist / New Criticism approach, that is, researchers pay attention to the complexity of the structure and constructs of the work. A work is judged by its success and stability through its form, which is to see the integrity of its structure by examining the relationships and intertwined relationships of its supporting elements. According to the formalist approach, literary text is an object that must be analyzed in order to find its meaning. In short, the purpose of the formalist approach is to find out whether the contents of a work and how the content is delivered (Sarumpaet, 2010: 39).The results of the study are as follows. 1) I'm so scared to hear the words 2) It's great to go home to Indonesia 3) And the country is very far from Indonesia 4) Star, stay shining so Pipi know Mother is okay up there.
Hubungan Self Efficacy Dengan Sikap Belajar Siswa Sekolah Menengah Kejuruan Negeri 2 Pekanbaru

This research aimed to know (1) students’ self-efficacy, (2) students’ learning attitude, and (3) the correlation between students’ self-efficacy and their learning attitude. It was a correlational research. The population was all of the students of eleventh grade state that were 320 students. While, The sample of this research was 80 students. Questionnaire and documentation were the techniques of collecting the data. The data was analyzed statistically by using Product Moment correlation technique. The result showed that (1) students’ self-efficacy at the eleventh grade of was on high category, it was based on the percentage of questionnaire answer 83.93% and it was very good, (2) their learning attitude at the eleventh grade of State Vocational High School 2 Pekanbaru was on good category, it was based on the percentage of questionnaire answer 80.76% and it was very good, (3) there was a significant correlation between students’ self-efficacy and their learning attitude at the eleventh grade of State Vocational High School 2 Pekanbaru, it could be seen from the product moment correlation score 0.656, and this score was higher than rtable 0.227.
A missing concept? A short postulation about the need for human understanding and an often only implicitly given, fundamental aspect of modeling efforts

In almost all fundamental modeling or description approaches, especially those meant for the domain of (business) process, there is one description aspect often missing that is core to human understanding of the world: the aspect of active entity or the concept of the subject and its strict differentiation from passive entities (objects). This work postulates that this simple idea is of great importance when approaching any description/modeling, be it made by humans as input/instruction for information systems or AI engines, or be it generated by such a system to explain its inner workings to humans to enable better understanding and therefore acceptance. Therefore, it is proposed that any formal or informal modeling approach should consider these aspects in order to better facilitate human understanding of models and avoid humans working around the lack of expressiveness or try to erroneous interpret non-given information.
Mathematical Model of Random Search Methods and Elementary Properties

Random search methods are special stochastic optimization methods to solve the following problem: Method random search Random search method Minimize () with regard to ∈ , where and .
THE IMPACT OF CURRENT FISCAL POLICY ON SMALL AND MEDIUM ENTERPRISES IN THE KINGDOM OF BAHRAIN

In economies all around the world the small and medium enterprises (SMEs) play a major role in the development of the economies, this impact is especially shown in the developing countries. SMEs are the most contributors to the economic development of the country and the creation of jobs in the economies worldwide. Therefore, the key aim of the current study was to measure the effect of fiscal policy along with real interest rate and literacy rate on the growth of SMEs registered in Kingdom of Bahrain. For this purpos, the time series data of last 20 years from 1998 to 2018 was collected from the world bank and official government database. ADF unit root test was applied to check the stationary of the variables and the Ordinary Least Square (OLS) method was applied to analyze for further analysis as all the variables were found stationary at level. The regression results show that the fiscal policy and literacy rate have a positive impact on SME’s growth of the country; however, the real interest rate has a negative effect on SME’s growth. Based on the current findings, the study recommended that the government should spend more to develop the basic infrastructure to support the SME’s development as well as related education and traning programs especially the technical education for small businesses.
A DEEP LEARNING IMAGE CLASSIFICATION USING TENSORFLOW FOR OPTICAL AVIATION SYSTEMS

Deep learning has become very popular in recent years. Great progress has been made in the task of classifying images with the development of deep learning. This research utilized the deep learning methods in TensorFlow to classify the bird and airplane images. In the first step, a general framework for the classification of deep learning images, an image classification network namely airplane images and bird images are built. Then, the images were randomly chosen from the Caltech-UCSD Birds-200-2011 and Caltech 101 datasets. To correctly classify airplane and bird images, total of 1600 images used. The 1072 images used to train the network and the 528 images used to test built deep learning network. The training phase lasts only 20 epochs to achieve 100% accuracy on the train set. The test data were classified as 99.05% percent. Overall accuracy is 99.69%. This research has a certain importance to explore the use of cognitive systems approach in aviation safety.
TAXONOMY ENRICHMENT FOR RUSSIAN: SYNSET CLASSIFICATION OUTPERFORMS LINEAR HYPONYM-HYPERNYM PROJECTIONS

We present the description of our system that was ranked third in the noun sub-track of the Taxonomy Enrichment for the Russian Language shared task offered by Dialogue Evaluation 2020. Our best-performing system appears against the backdrop of other methods and their combinations attempted, and its results argue in favour of Occam’s razor for this task. A simple supervised classifier was trained on static distributional embeddings of hyponym words as features and their numeric hypernym synset identifiers from the taxonomy as class labels. It outperformed more complicated approaches based on learning linear projections from hyponym embeddings to hypernym embeddings and returning synset identifiers for the nearest neighbours of the predicted vectors. Training specially tailored word embeddings for ruWordNet multi-word expressions proved to be one of the key factors for both approaches.
Designing and Evaluating a Visualization System for Log Data

In the engineering field, log data analysis has been conducted by most companies as it has become a significant step for discovering problems and obtaining insights into the system. Visualization w ...
VINOVAL (VISUAL NOVEL MODAL AUXILIARY): A SIMULATOR GAME TO INTRODUCE MODAL AUXILIARY TO STUDENT

E-learning is the use of information and computer technologies to create learning experiences. The objective of the research was to develop of VINOVAL. The research design was educational R&D as one research design aimed at developing educational products, like curriculum, syllabus, textbooks, instructional media, etc. Moreover, this research implemented quasi-experimental research design to know the efficacy of the product. The subject of the research was eleventh grade students of SMAN 2 Trenggalek 2019/2020 academic year which consist of 36 experimental group and 36 control group. The research instruments were questionnaires, test, and interview. The questionnaires and test data were analyzed quantitatively, while interview data was analyzed qualitatively. The product was developed in five steps based on students’ needs, recent theories related to the product, developing the educational product, evaluation from the expert who validates the product and field testing the product. The data was calculated by SPSS 25 and the result of sig. 2 tailed in t-test is 0.000 (<0.05), it means there was significant difference between experimental and control groups. From explanation above means that the product of this research, VINOVAL, was an effective learning media to senior high school students to introduce modal auxiliary material. Furthermore, it was suggested for people who find some benefit of this research
Design and Implementation a Management Information System Extracurricular WebBased (Case Study: SMAN 1 Sampang)

This research aims to design and implement a Management Information System Extracurricular Web-Based in SMA Negeri 1 Sampang to be able to further improve the performance of the school in extracurricular management. SMA Negeri 1 Sampang is a leading public school in the town of Sampang. However extracurricular school management system is still not supported by good information technology facilities. And so we need an information system as an efficiency improvement of school performance in extracurricular management. This research using research design development. The this development goal is to develop a extracurricular management information system web-based as a means to improve the performance of the school in order to support the extracurricular management skills to further develop the student maximum and can also support the academic achievement of students. This development using Waterfall model. The conclusion of this research is that the extracurricular management information system is declared to be feasible and valid to be used because the percentage generated is quite high, namely the average usability aspect of 89.54 percent and the functionality aspect of 99.99 percent.Keyword: Information System, Management, Extracurricular
Animation studio at the Children’s Library stimulates reading and love for books

The animation studio BiarmFilm of Perm Central Children’s Library is described. The main creative achievements based on interpretation of literary works are demonstrated; the role of reading in building teenagers’ media and information competences is emphasized.
A Practical Low-Cost Security Solution for Log Management and File Integrity Monitoring

Log management and file integrity are among the most critical security controls in protecting valuable business data assets against internal and external security attacks.Despite the importance of these controls, many businesses, especially smaller ones, do not practically implement the controls due to reasons including cost and personnel.In this research, we propose a framework, utilizing low cost or free-of-cost tools, and offer guidance for efficient log management and integrity monitoring.A detailed list of relevant hardware, software, and tools as well as their corresponding costs is provided to assist businesses in strategic security planning.
A Powerful Techniques and Applications of Web Mining

The purpose of this paper is to provide a more current evaluation and update of web mining research and techniques available. In the today’s view of web mining is to extract useful information from various websites and organizations websites. This paper will elaborate various tools and techniques of web mining that can be used now a day for web mining. The Data mining techniques can be used by system to extract the required knowledge. Now a days web mining is useful in Social media applications, Electronic commerce websites, various web transaction, etc. and it’s not only extracting data but also discover the knowledge about any topic required by web user. The proposed paper is focusing on various tools, techniques and applications of web mining.
Publisher/vendor library relations interest group program at ALA midwinter features the NISO working group on platform migration

"Publisher/vendor library relations interest group program at ALA midwinter features the NISO working group on platform migration." Technical Services Quarterly, 37(4), pp. 444–445