Reviewerly/exHarmony huggingface dataset:
Learning from Students’ Perception on Professors Through Opinion Mining

Students’ perception of classes measured through their opinions on teaching surveys allows to identify deficiencies and problems, both in the environment and in the learning methodologies. The purpose of this paper is to study, through sentiment analysis using natural language processing (NLP) and machine learning (ML) techniques, those opinions in order to identify topics that are relevant for students, as well as predicting the associated sentiment via polarity analysis. As a result, it is implemented, trained and tested two algorithms to predict the associated sentiment as well as the relevant topics of such opinions. The combination of both approaches then becomes useful to identify specific properties of the students’ opinions associated with each sentiment label (positive, negative or neutral opinions) and topic. Furthermore, we explore the possibility that students’ perception surveys are carried out without closed questions, relying on the information that students can provide through open questions where they express their opinions about their classes.
Pengaruh Motivasi, Efikasi Diri (Self Efficacy), Beban Kerja dan Keterampilan (Skill) Menulis terhadap Produktivitas Buku Ajar Dosen yang Diterbitkan (Studi di Universitas Brawijaya Malang)

The purpose of this study was to determine the variables that explain the text book productivity academic staff in Brawijaya University. In this study, publication in books were used as a surrogate for research productivity. The study described the text book productivity of Barawijaya University, their motivation to write a book, their self efficacy, workload activity and skill of writing. Study findings suggest that: (a) text book productivity is a significantly relationship with motivation, skill of writing and workload activity; (b) there is no relationship between text book productivity and self efficacy. This study's population was defined as lecturer that write a text book in five years later (2002-2007). The sample size comprised of 32 academic staff drawn from population. Data collection was carried out using snowball sampling technique. The data obtained were treated statistically using regression analyses. From the regression model showed the F statistic was positive (10,952) and significant at the 0.000 level. This indicated a good fil between the observed data and the models, and the independent variables are related to the dependent variable. The coefficient regression for self efficacy was not significantly different from zero at the 0,05 level (p=0,3200. The regression standardized coefficient for the workload activity was negative (-.764) and significant at the 0,000 level. In fact the beta coefficient for workload activity was the highest, indicating this was the most important variable in the model.
Library Home Page: History: E-Books

The History library guide has links to websites that can help you with your research whether you're looking for books, e-books, web resources, streaming videos, or encyclopaedia or journal articles.
Fuzzy logic technique applied in tuning of PID controller to control speed of DC motor

This paper give solution of tuning technique of PID (Proportional integral derivative) controller by using fuzzy logic technique applied in speed control of DC motor. The proportional, integral and derivate (KP, KI, KD) gains of the PID controller are regulate according to fuzzy logic technique. The Fuzzy logic Proportional integral derivative controller (FLPIDC) is designed according to fuzzy rules. Twenty five self tuning rules are programmed for PID controller. Two inputs are applied to PID controller one for speed error actual speed and the second is rate of change in speed error. The Parameter of PID controllers are used to control the speed of the DC Motor. The MATLAB model for speed control of DC motor using fuzzy logic is easy and less calculation required. The results proof that the designed self-tuned PID controller perform optimum speed control of DC motor, compared to conventional PID controller.
LibGuides: Digital Reference Services: Ebooks & Streaming Movies

Online research, learning, and educational activities. Accessing digital content from the library.
COVID 19 Contact Tracing Application for Closed Environments

COVID 19 Pandemic has impacted the whole world in a manner that no one ever visualized. Afoolproof treatment protocol has eluded the medical fraternity and social distancing coupled withtrack and trace regimes seem to be the only solution to fight the Pandemic. Mobile based softwaretechnologies to implement tracking have been used by almost all countries with limited success dueto voluntary use by individuals and data privacy regimes in vogue.These applications cannot lead tomonitoring of contacts as the address information of users is not available or shared on a voluntarybasis. Closed environments like the Defense Forces offer an opportunity to implement alternatesolutions utilizing the address information & duty rosters of its personnel to come up with an end toend solution to include identification, tracking and monitoring of suspected contacts till resolution.Besides creating a usable application to protect this high value human capital in the immediatecontext, an implementable framework has been created which can be effectively used as and whenthe governments come up with requisite legislations to allow use of address information ofindividuals in a secure manner.
Utilization of Forecasting Methods for Cryptocurrencies

Electronic money has evolved in one of the relevant ways to achieve electronic payment, that is, a form of payment with significantly lower online transactions. The idea for the development of the above has consolidated the segment of retaining all the favourable characteristics of cash while eliminating deficiencies. The paper purpose is to discuss the relevance of electronic money or alternative currencies, cryptocurrencies, and to present statistical processing the most 30 influential cryptocurrencies with an emphasis on the most popular cryptocurrency called Bitcoin. We elaborate on the main differences between the virtual currency and electronic money after we present the historical development of cryptocurrencies. In the end, we present the statistical and forecasting analysis of the most important cryptocurrencies. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Towards a Knowledge Condensation Tool to Capture Expertise

Finding relevant expertise is a critical need in software organizations since developers use it to support their knowledge needs. In software organizations, expertise can be found in architectural knowledge (AK), which incorporates the experience and problem reasoning of human resources through two primary sources: experts and artifacts; consequently, know how to model it, could grant access to the best practices, training practices, and data across applications; this has generated considerable interest by organizations, which seek to develop formal approaches to condensate the available knowledge from different sources in a systematic manner. In this work, we present a semantic knowledge modeling, which was developed using knowledge modeling techniques; the model aims to link artifacts and experts within the organization; moreover, we present ExCap a tool that implements the semantic model presented.
Computer-Aided Optically Scanned Document Information Extraction System

This paper introduced a Computer-Aided Optically Scanned Document Information Extraction System. It could extract information including invoice No., issued date, buyer, etc., from the optically sca ...
Study on Prediction Model of Magnetic Field Intensity of Submarine Power Cable Based on LSTM

After the submarine power cables are laid, the parameters such as distance between cables and surface of the sea (H), distance between two submarine power cables placed in parallel (d) are constant. It is difficult to study the magnetic field intensity distribution of submarine power cable under different H and d, because the submarine cable can't be placed randomly. In order to solve this problem, firstly the influence of different groups of H and d on the distribution of submarine cable magnetic field intensity is studied, and the magnetic field intensity of submarine cable generated by different groups of H and d are used as training samples and testing samples. Then the training samples are used to construct the submarine power cable magnetic field prediction model based on Long Short Term Memory (LSTM) neural network, and the submarine power cable magnetic field is predicted with the testing samples as the input. Finally, the simulation results show that there is good prediction ability of LSTM prediction model for submarine cable magnetic field data.
Development Of The Hypothetic Model Of Library Management As A Center For Learning Sources At The State Senior High School Of Bandar Lampung

The aim of this research is to develop the library model at states senior high schools at Bandar Lampung. The number of school library visitors at SMAN 14 Bandar Lampung, with a total of 1052 students in 30 study groups 2018/2019 academic year. It can be seen that the number of library visitors is not more than 500 students per month, the number of books borrowing does not reach 500 copies per month.This study uses an interpretive / constructivist paradigm, through this paradigm the researcher analyzes the need for developing a hypothetical model of library management as a learning resource center.Based on the potential and condition of 17 libraries in Bandar Lampung High School there are still libraries that do not meet the SNP standards, namely 11 school libraries that have manual management without following the library management system.Atthe stage of developing the hypothetical model, the researcher examines a problem that is developed to obtain responses that tend to be positive to teachers, library principals and school principals, marked by a positive category average of 80.15% while negative category responses are only 20.85%.
Production Monitoring Information System on Cv Adorable Project Custom Using Waterfall Method

Adorable Project Custom is an online store that sells various kinds of women's accessories and the most popular ones are handmade women's shoes. Problems with CV. Adorable Project Custom, namely the system used is still manual. In addition, there is no system that integrates from one section to another, sometimes the direction manager does not know the development of the production process and experiences delays in controlling the inventory which causes raw material stocks not available at the right time to be sent to the production department so that the production process is hampered. and product completion becomes late for delivery to customers which makes the company incur losses. By utilizing this system, it can generate real-time data, so there are no obstacles and too late for the production department. The result of this research is to build an information system that can monitor each part.
Student`s mobile learning in formal and informal environment: Some dilemmas and obstacles

Mobile learning represents one step further in innovating the context of learning. In this article we view it as learning with the help of a mobile phone. The aim of this research is to examine students' attitudes about encouraging the use of mobile phones for learning in formal and informal environment, as well as the attitudes about disadvantages and obstacles in the process of mobile learning. The data were gathered by means of two five-degree scales of evaluation designed for the purpose of this research. The sample of the research comprises 185 secondary school students on the territory of the city of Niš. The results indicated that students did not have enough experience of mobile learning in formal and informal environment, that is, that teachers do not master this type of learning enough. Schools ought to encourage the development of digital competences, and one of the means is mobile learning, which would train students for informal, that is lifelong learning. In order for mobile learning to be more efficient, it is necessary to be thoroughly programmed and evaluated, considering the difficulties and obstacles in its realization.
Fiber Reinforced Concrete Crack Opening Evaluation Using Digital Image Correlation Techniques

The analysis of mechanical properties in fiber reinforced concrete (FRC) elements is basically done through destructive tests since the results obtained by these methods are already well established in normative codes. One of them is the 3-point flexural test normalized by EN 14651 using a notched beam to measure the crack width (CMOD). Within the context of the mechanical properties evaluation that do not require the production or extraction of specimens, and can be applied in fully functioning structures, the digital image correlation (DIC) is a technique which has been proposed. This non-destructive test analyzes a group of images correlating one with each other, evaluating the changes that occurred during the load has been applied. It is a non-invasive test, capable of results with acceptable precision and a considerable low cost, proving to be a promising technique in the field of behavior analysis. Thus, this study compares the cracking results obtained through the extensometry technique (Linear Variable Differential Transformer – LVDT) and the digital image correlation. The samples were made using steel fibers. The results obtained using the DIC technique were validated by the data obtained through the LVDTs, and the absolute error was considerably low.
A kernel-based approach to supervised nonparametric identification of Wiener systems

This chapter addresses the problem of nonparametric identification of Wiener systems using a Kernel-based approach. Salient features of the proposed framework are its ability to exploit both positive and negative samples, and the fact that it does not require prior knowledge of the dimension of the output of the linear subsystem. Thus, it can be considered as a generalization to dynamical systems of kernel-based nonlinear manifold embedding methods recently developed in the machine-learning field. The main result of the chapter shows that while in principle, the proposed approach results in a non-convex problem, a tractable convex relaxation can be obtained by using a combination of polynomial optimization and rank-minimization techniques. The main advantage of the proposed algorithm stems from the fact that, since it is based on kernel ideas, it uses scalar inner products of the observed data, rather than the data itself. Hence, it can comfortably handle cases involving systems with high dimensional outputs. A practical scenario where such situation arises is activity classification from video data, since here each data point is a frame in a video sequence, and hence its dimension is typically O(103) even when using low resolution videos.
Social Network Optimization for Cluster Ensemble Selection

This paper studies the cluster ensemble selection problem for unsupervised learning. Given a large ensemble of clustering solutions, our goal is to select a subset of solutions to form a smaller yet better performing cluster ensemble than using all available solutions. The common way of aggregating the chosen solutions is accumulating the information of the selected results to a similarity matrix. This paper suggests transforming the similarity matrix to a modularity matrix and then applying a new consensus function which optimizes modularity measure in it. We represent the modularity maximization problem as a 0-1 quadratic program which can be exactly solved for small datasets. We also established a new greedy algorithm, namely sum linkage, to optimize the objective function specially for large scale datasets in a very short time. We show that the proposed consensus partition gets much closer to the actual cluster structure than the partitions obtained from the direct application of common cluster ensemble methods. The promising results compared with other most cited consensus functions show the excellent efficiency of the proposed method.
Weighing Machine Learning Algorithms for Accounting RWISs Characteristics in METRo : A comparison of Random Forest, Deep Learning a kNN

The numerical model to forecast road conditions, Model of the Environment and Temperature of Roads (METRo), laid the foundation of solving the energy balance and calculating the temperature evoluti ...
"The Development of Comic-Based Social Studies Learning Media About Various Fields of Work for Class IV Students".

Executive SummaryIrza Rusni. 2020 of Comic-Based Social Studies Learning Media About Various Fields of Work for Class IV Students. Elementary School Teacher Education Thesis, Faculty of Teacher Training and Education, Bung Hatta University.Supervisor :1. Yulfia Nora, S.Pd.,M.Pd. 2. Darwianis, S.Sos.,MH.This is motivated by the absence of development of comic-based learning media regarding the characters possessed by students in carrying out learning activities and the low interest in reading that students have. Based on the two effects of the low quality of education, namely strengthening character and reading literacy, a learning medium is needed, that the media is considered the most efficient facilitator in the delivery of education. Interesting learning media will motivate students to learn. Based on this, the researcher conducted development with the title Development of Comic-Based Social Studies Learning Media About Various Fields of Work for Class IV Elementary School Students”.Producing comic-based social studies learning media on various fields of work for grade IV students that meet valid and practical criteriaTo fulfill the objectives, this was designed using the Research and (R&D) method. Sugiyono (2016) argues that research and development methods are methods used to produce certain products and test the effectiveness of these products. The data source of this is primary data. In this study, the data collection technique used was a questionnaire (questionnaire). The validity of comic-based social studies learning media for grade IV SD students is declared valid, with a percentage of 82.19% which means that learning media can be used with a slight improvement as social studies learning media in SD. The practicality of comic-based social studies learning media for fourth grade elementary school students used by teachers and students is stated to be very practical with a percentage obtained by 90%, which means that the comic-based social studies learning media for fourth grade elementary school students developed is very practical to be used as learning media in elementary schools. From these data it can be concluded that social studies learning media based on comics in social studies learning theme 4 sub-theme 1 and sub-theme 2 class IV at SDN 34 Air Pacah Padang has a high level of validity and practicality.Keywords:social studies learning media, comic-based media, development
OVERVIEW OF THE ROLE OF THE SCIENTIFIC METHOD IN THE EDUCATIONAL SPHERE OF THE NEW AGE

Have been described the role of the scientific method of cognition and the role of scientific knowledge in the educational sphere in the period of Modern philosophy. Have been determined the role of the empirical method and the theoretical method in experiments in order to gain new knowledge and test hypotheses. Considered the role of scientific societies and academies as centers of development of scientific knowledge. Have been determined that the expansion of knowledge through the improvement of the scientific method has led to the need for changes in principles of education. Are described the demonstrations of physical experiments for educational purposes in universities and academies. Have been described the physical experiments on the example of a lecture of Jacques Rohault and Pierre Poliniere. The contribution of Francis Bacon and Rene Descartes, Isaac Newton in the study of the effectiveness and objectivity of the scientific method in research is described. Was considered that scientific research was made with the aim of practical efficiency for human life, and not as a self-goal. Knowledge and education should be formed based on the inductive method. The main ideas of the work "Reflections on the method" are considered as the publication of tipping point in the formation of Modern philosophy. Have been described the main ideas of 21 rules of application the scientific method in researches in this publication. Have been determined that in the Modern philosophy period science had a direct impact on education, as well-known representatives of science popularized and involved in their research students and young scientists through educational institutions. At this time, education has become an instrument of human socialization, so well-known educators of this period emphasized to the need of early child development (John Locke and Jean-Jacques Rousseau) and the universality of education (Jan Amos Comenius). It is determined that the application of the scientific method in the research activities of period of Modern philosophy is inextricably linked with their pedagogical practice. In this way it has led to active improvement and structuring of scientific methods, and to involving more young minds in scientific research and investigations. Which was a background to the germination of the next period of Classical Philosophy of Science
Social Cataloguing Sites: Features and Comparison in Relation to ISBD

In the past few years, the number of social site related applications has increased; and also, these are playing an important role in the collection and sharing of knowledge. These types of application give users the freedom to create vocabulary, which helps to describe and categorize online resources. The social cataloguing applications are a type of web application that helps users to catalogue various items. These social cataloguing sites help users to catalogue their personal book collections, and make the collection known to all users with similar tastes. This study analyzed and evaluated the bibliographic and social features of some selected popular social cataloguing sites and also compared with the data elements prescribed in the International Standard Bibliographic Description (ISBD).
KORELASI KETERAMPILAN MEMBACA PEMAHAMAN DENGAN KETERAMPILAN MENULIS TEKS DESKRIPSI SISWA KELAS VII SMP NEGERI 9 PADANG

ABSTRACT The purpose of this study is three. First, describing reading skills understanding the text description of class VII students of SMP Negeri 9 Padang. Second, describe the writing skills of description text. Third, describe the correlation of reading text description understanding with writing text description skills of class VII students of SMP Negeri 9 Padang. The population of this study was seventh grade students of SMP Negeri 9 Padang who were registered in the 2019/2020 school year with 192 students. The sample in this study was determined by proportional random sampling of 25% of the population, which is 48 students. Based on data analysis and discussion, three research results are obtained as follows. First, reading skills understanding the text description of class VII students of SMP Negeri 9 Padang in good qualifications. This can be seen from the acquisition of a calculated average of 78,39. Second, the writing text description skills of class VII students of SMP Negeri 9 Padang are in good qualification. This can be seen from the acquisition of a calculated average of 82,20. Third, there is a significant correlation between reading skills in the description of text description and writing text description skills of class VII students of SMP Negeri 9 Padang in the n-1 freedom degree and 95% significant level. H0 is rejected and H1 is accepted because the test results prove that the tcount is greater than t table, namely (6,72&gt; 1.68). Kata Kunci: Korelasi, Keterampilan Membaca Pemahaman, Keterampilan Menulis Teks Deskripsi