Reviewerly/exHarmony huggingface dataset:
Curriculum Evaluation on Pedagogical Courses in Industry 4.0 era: Describing Alumni Views

This study is aimed at describing alumni feedback who work as teachers on the pedagogical courses offered at ELEP in their job as a teacher and how sufficient the pedagogical courses offered at ELEP for the alumni to do their job as a teacher.This study employs descriptive qualitative as it attempts at describing ELEP alumni current opinion about how well pedagogical content on ELEP curriculum helps them as a teacher.Interview had done to collect alumni views toward the issue.The result shows that that the content of some pedagogical courses such as Pengantar Pendidikan and Etika Profesi need to be improved to add more practical knowledge than theoretical knowledge.Students need more exposure on the real view of what happen in the real teaching and learning process in high school.All in all, all pedagogical courses are needed and most of the pedagogical courses are sufficient but there should be improvement on teaching implementation for betterment.
Drones: 4DT Applications in US Industry and Public Policy

As technologies emerge, public policy can be a means of ensuring that technology makes sense for a culture. For example, as communication technologies emerged in the 19th and 20th centuries, public policy ensured the technology operated in everyone’s interests. Public policy is also the means by which the Internet and the field of nanotechnology were able to develop. Most often public policy is used to make sure that completing interests are fairly served, as evidenced by Intellectual Property laws. Drones can be used to perform tasks that are dirty, dangerous, require dexterity, are dear (or expensive) and tedious for humans to do. Some examples are drones in the military and firefighting efforts. Despite the benefits of drones, their application is limited due to the legal constraints and a lack of regulations. Public policy regarding drones is trending towards restrictions. This trend poses an interesting question: Will regulatory restrictions will reduce the utility of drones?
Development of Brochure-Based Teaching Materials on Persuasive Text in Grade 7th Students of Junior High School Dwi Tunggal Tanjung Morawa

This study aims to find out the developmentof brochure-based teaching materials on persuasive text in grade 7th students.The object of this study is grade 7th students of Dwi Tunggal Tanjung Morawa. The result shows that The process of developing the development of brochure-based teaching materials on persuasive text material was carried out in three stages, namely the preliminary study phase, the initial product development and product testing. At the stage of the preliminary study an analysis of the needs of teachers and students was carried out. The results of the needs analysis obtained data that 100% of teachers and students of Junior High School Dwi Tunggal Tanjung Morawa need teaching materials in the Indonesian language learning companion. In the initial product development stage, product design and product validation were carried out to 2 material experts and 2 media design experts. After the validation process, the product is declared feasible for testing. In the third stage, product testing was carried out in three ways, namely individual trials, small group trials and limited field trials. Individual trials obtained an average percentage of 88.19% with the category "Very good", the small group trial received an average percentage of 89.58% with the category "Very Good". Limited field trials received an average percentage of 91.01% with the category "Very Good". Based on these data, obtained appropriate teaching materials to be used by teachers and students in learning.
Identifying Bottlenecks in Practical SAT-Based Model Finding for First-Order Logic Ontologies with Datasets

Satisfiability of first-order logic (FOL) ontologies is typically verified by translation to propositional satisfiability (SAT) problems, which is then tackled by a SAT solver. Unfortunately, SAT solvers often experience scalability issues when reasoning with FOL ontologies and even moderately sized datasets. While SAT solvers have been found to capably handle complex axiomatizations, finding models of datasets gets considerably more complex and time-intensive as the number of clause exponentially increases with increase in individuals and axiomatic complexity. We identify FOL definitions as a specific bottleneck and demonstrate via experiments that the presence of many defined terms of the highest arity significantly slows down model finding. We also show that removing optional definitions and substituting these terms by their definiens leads to a reduction in the number of clauses, which makes SAT-based model finding practical for over 100 individuals in a FOL theory.
“DEFENDS” as An Effective Writing Strategy to Create Students Creativity

In the educational process, specifically in the classroom, students must be able to produce good writing in academic writing that is relevant to the topic that is given or determined by the teacher. Most students get difficulty in learning writing moreover producing good writing. Teachers need to help the students build their habits of writing creatively. DEFENDS, a strategy that was developed by Ellis (1989,1990,1993) can help students to defend a particular position in a written assignment, improve writing strategies, facilitate writing process, and strengthen learning to learn writing skill. DEFENDS strategy gives students the means to plan before they begin writing. This strategy guides students to be an independent writer through several stages (Decide, Estimate, Figure, Express, Note, Drive, and Search). Students are demanded to have not only language skill but also other factors such as creativity. Creativity gives a contribution in education field nowadays, the issue of creativity has brought to the forefront of educational policy and practice, including the importance of creativity in writing. Research dealing with creativity in writing is needed. This research was an experimental design called post-test design using 2x2 factorial arrangements. The sample was high school students. Two instruments used by the researcher; those were writing test and creativity test. The value of Ftable at the level of significance is α = 0.05 is 4.01, while the value of Fo between columns is 5.734141. Fo between rows (16.5821) is higher than Ft at the level of significance α = 0.05 (4.01), and Fo columns by rows (9.21) are higher than Ft at the level of significance α = 0.05 (4.01).
The Impact of Flyweight and Proxy Design Patterns on Software Efficiency: An Empirical Evaluation

In this era of technology, delivering quality software has become a crucial requirement for the developers.Quality software is able to help an organization to success and gain a competitive edge in the market.There are numerous quality attributes introduced by various quality models.Various researches and studies prove that the quality of the objectoriented software can be improved by using design patterns.The main purpose of this research is to identify the relationships between the design patterns and software efficiency quality attribute.This research is focused on the impact of Flyweight and Proxy Design Patterns on the efficiency of software.An example scenario is used to empirically evaluate the effectiveness of applied design refinements on efficiency of a system.The techniques to measure software efficiency and the results obtained for each solution are elaborated in detail.At the end of this research, comparative analysis is provided to show the relative impact of each selected design pattern on software efficiency.
ARUZ - Analyzer of Real Complex Systems

ARUZ is a HPC (High-Performance Computing) machine invented at the Lodz University of Technology and built in Bionanopark in Lodz. The novelty of ARUZ consists in its construction, which is based on FPGA devices (Field-Programmable Gate Arrays), not classical CPUs like in standard computers. These fully configurable digital devices are responsible for ARUZ flexibility and efficiency, in terms of speed and power consumption. ARUZ contains almost 2900 PCBs and 26000 FPGAs - all of them ready to solve extremely difficult scientific problems. From that point of view ARUZ is the biggest FPGA-based installation in the world.
Classification of Soil Based on Fuzzy Logics

The quick height in innovation has made information in plenty which has both required just as undesirable.So as to truncate the undesirable information and order, plentiful of data mining methods has been actualized.The primary objective of information mining is to gather, pre-process and order the information dependent on specific highlights of soil, for ex, PH, Nitrogen, Oxygen and Carbon percent of soil and foresee the harvests developed for the particular soil type.The application provides a deep insight of the behaviour of the soil in a particular region.It provides a feature extraction method to sort the data set according to the users need and thereby determining the necessary values of certain attributes.The decision makers can easily focus on the content they are interested on under certain context in the sub-classifications by grouping the attributes.Information from different nations are assembled and broke down and were determined based predefined Fuzzy Rules which has returned the precise and recall as result at the end of an output.
Role of Heat Transfer R&D Community in Addressing Interdisciplinary Energy Challenges

The heat transfer community is well aware that energy is the backbone of our modern societies and living standard.Every good that we produce, every type of transportation, every activity that we carry, every aspect of the comfort that we demand… all require tremendous amounts energy.With the growth of environmental awareness and concerns, energy production and management must not only be cheap, but also performed in a clean, sustainable and socially acceptable way.
Authentication Mechanism Enhancement Utilising Secure Repository for Passwordless Handshake

In this paper the idea of an enhanced security authentication procedure is presented.This procedure prohibits the transmission of the user's password over the network while still providing the same authentication service.To achieve that, Kerberos Protocol and a secure password repository are adopted, namely a smart card.The conditional access to a smart card system provides a secure place to keep credentials safe.Then, by referencing to them through identifiers, an authentication system may perform its scope without revealing the secrets at all.This elevates the trustworthiness of the mechanism while at the same time it achieves to reduce the overhead of the authentication systems due to the elaborate encryptions procedures.
Aplikasi Penentuan Tunjangan Kinerja dan Rekomendasi Pegawai Universitas Singaperbangsa Karawang

Universitas Singaperbangsa Karawang does not yet have a system and criteria for assessing the performance of non-P3K employees. Currently the staffing office at the University of Singaperbangsa Karawang does not yet have a way to determine how an employee is entitled to a Performance Allowance. Based on these facts, a website-based employee performance allowance information system will be created with a case study of the staff of the singaperbangsa karawang university. The system to be built includes the definition of criteria, data processing to become the best employee recommendation / promotion and determination of Employee Performance Allowances. The methodology used is software engineering and uses the Software Development Life Cycle (SDLC) method with the waterfall model because it is in accordance with the research that will be carried out with a relatively short stage of system usage. The calculation process is done by using the method of fuzzy multiple attribute decision making with weighted product because this method determines the weight value for each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives. The system created can provide information about the amount of employee performance benefits and recommendations for promotion for employees. After evaluating the user, this system gets a response that is easy to understand and easy to understand on each menu on the system. Looking at the benefits of this system is useful when it will provide performance allowances to employees and at the time will determine the employees who are reconditioned for promotions. The design of employee recommendation decision support systems using fuzzy multiple attribute decision making is done by completing the weighted product to produce alternatives after verification with the existing data getting 60% accuracy.
On SAT-Based Approaches for Multi-Agent Path Finding with the Sum-of-Costs Objective

Multi-agent path finding (MAPF) deals with the problem of finding collision-free paths for a set of agents. Each agent moves from its start location to its destination location in a shared environment represented by a graph. Reduction-based solving approaches for MAPF, for example reduction to SAT, exploit a time-expended layered graph, where each layer corresponds to specific time. Hence, these approaches are natural for minimizing makespan (the shortest time till all agents reach their destinations). Modeling the other frequently used objective, namely Sum of Costs (SOC; sum of paths lengths of all agents) is more difficult as the solution with the smallest SOC may not be reached in the time-expended graph with the smallest makespan. In this paper we suggest two novel approaches to estimate the makespan, that guarantees existence of a SOC-optimal solution. The approaches are empirically compared with an existing reduction-based method as well as with the state-of-the-art search-based optimal MAPF solver.
Designing a Mobile Application for Autonomous Learning of English

Despite its prominent role, university students encounter problems in progressing themselves in learning English.The situation gets worse when the allocated time of learning English in the classroom is not adequate.Several solutions can be proposed including the use of appropriate teaching and learning strategies as well as the implementation of autonomous learning.This study was aimed at developing a mobile phone application for autonomous learning of English.This study employed design and development research method, which was a product and tool research.Respondents were 166 students of State Polytechnic of Malang.Research methods used included questionnaires, interviews, and focus group discussions.Findings in the preliminary study showed that respondents needed additional time to learn English while mobile phones and computers were believed to be the most effective media.Findings from the field test revealed that the developed English mobile learning was considered interesting, motivating and useful to improve English.
Review of Image Memorability Prediction

With the development of information technology and networks, images can be seen everywhere in life. When people browse magazines and the Internet, they come into contact with thousands of images, some of which remain in people's memories, while others are forgotten. Isola et al. first proposed the concept of image memorability and proved that image memorability is an intrinsic and stable attribute of images and can be shared among different viewers. Image memorability prediction has important research value and can be applied to education, advertising and other fields. In order to promote the research of image memorability prediction, the main theories and methods are summarized. Based on the comparison and analysis of the literatures related to image memorability prediction, this paper firstly reviews the proposal and quantification of the concept of image memorability. The features that affect the image memorability and the methods for extracting features are analyzed. The prediction of predictive image memorability is introduced in detail. The prediction is constructed based on Support Vector Machine and Convolution Neural Network and using different features that affect image memorability. Finally, the future work of image memorability is summarized and forecasted.
Dependency Rank: Método de priorização de requisitos baseado nas relações de dependência identificadas por PLN

Currently, the most commonly used software requirements prioritization techniques are highly dependent on human effort to achieve them. Facing this problem, this paper presents an automated prioritization method based on dependency relationships between features. The proposed method sought to reduce the amount of effort employed by automating part of this task in an attempt to provide greater agility and reliability to the process. Thus, we used the project requirements documentation as a basis for extracting these relationships. A prototype using natural language processing tools was developed, its application aimed to recognize candidate classes contained in software requirements specification documents, written as user stories, thereby enabling the identification of existing links between the features. After this analysis, a suggested ranking, which employs as main criterion the prioritization of the requirements with the largest number of dependencies, is generated. The method was tested in an experiment and its validation was assisted by professionals. The results showed that the strategy implemented to identify candidate classes reached an F1 score of 0.857. This index helped the prototype to classify up to 70% of the requirements within equivalent intervals to those obtained by human judgment, having as main challenge for future developments the increase of the subjectivity load of the method.
«Reactional» information operations in cyberspace

The article investigates reaction-type information operations that can be used for misrepresentation, concealment or suppression of an information event in society and reviews an approach to their identification.
Construction and Determination of Irreducible Polynomials in Galois elds, GF(2m)

This work is about Construction of Irreducible Polynomials in Finite fields. We defined some terms in the Galois field that led us to the construction of the polynomials in the GF(2m). We discussed the following in the text; irreducible polynomials, monic polynomial, primitive polynomials, eld, Galois eld or nite elds, and the order of a finite field. We found all the polynomials in $$F_2[x]$$ that is, $$P(x) =\sum_{i=1}^m a_ix^i : a_i \in F_2$$ with $$a_m \neq 0$$ for some degree $m$ whichled us to determine the number of irreducible polynomials generally at any degree in $$F_2[x]$$.
ON THE APPLICATION OF LEARNER-CENTERED INSTRUCTION IN THE ENGLISH PRE-SERVICE TEACHER TRAINING- A CASE FROM HIGHER EDUCATION IN CHINA

To discuss the way of applying learner-centered instruction in English pre-service teacher training, a case from higher education in China is analyzed. The main analysis concentrates on course learning, which includes task-based learning, problem-based learning, cooperative learning, inquiry learning, case-based learning, self-directed learning. The author presents some theoretical background of the above ways of learning and uses some examples to illustrate the above methods. The last part is a brief review of learner-centered assignment, assessment, educational practice and the reflection on the learner-centered instruction in the training.
OPTIMALISASI PERAN PERPUSTAKAAN SEBAGAI SARANA KOMUNIKASI ILMIAH: STUDI KASUS DI PERPUSTAKAAN UNIVERSITAS SEBELAS MARET SURAKARTA

The college library means of scientific communication must utilize information technology as a means of supporting information dissemination. The library as one of the media in the chain of scientific communication, serves as a center of information both in printed and electronic forms. The research method used is observation of the role of the UNS Library as a means of scientific communication. The role of the UNS Library as a means of scientific communication namely: (1) providing ejournal content, digital library, institutional repository, journals and other publications that is published by UNS; and (2) information literacy, like as user education, collaboration between librarians and lecturers; information retrieval services, and periodical training.
Generational Differences Related to Linguistic and Discourse Features of WhatsApp Users of Texting

The aim of this study is twofold: 1) to find out what aspects of linguistic and discourse features are contained in WhatsApp conversations 2) to investigate WhatsApp used by different generations.WhatsApp analysis tertiary level students, Indonesia was conducted to analyse the language elements used in WhatsApp groups.WhatsApp chat collected through mobile devices is fully analysed and then categorized into linguistic and discourse features.The results shown in this study are that there are several differences between the WhatsApp language used by generation X and generation Y in linguistic and discourse features.WhatsApp's message to Generation X is more likely to use letters that are omitted, logograms, and initialism, while Generation Y uses non-standard spelling, shortening, and pictograms.The features of discourse in both generations produce the same number of mixed languages.Whereas generation Y uses fewer letters for emphasis in conversation while they using WhatsApp than generation X.
Fuzzy singular value shrinkage for Poisson image denoising

Poisson noise is a fundamental problem in various imaging applications, such as low-light photography, computed tomography and fluorescence microscopy. To remove Poisson noise, an adaptive iterative singular value shrinkage algorithm based on variance-stabilizing transformation (VST) and fuzzy logic classification is proposed in this paper. Since Poisson noise is signal dependent, we use the VST to convert it into signal independent Gaussian noise. The transformed image is divided into a number of blocks, and the similarity of these blocks is well judged according to the similarity criterion of an approximate Kullback–Leibler (KL) distance, and they are arranged to form a low-rank matrix. Then, the proposed algorithm uses singular value decomposition and adaptive soft-thresholding contraction operator to reduce noise, because large singular values point to the position of interesting information, and small singular values point to the position of the noise. In addition, to better preserve the structural information of the image, an adaptive iterative regularization technique based on fuzzy logic classification is proposed. Finally, a potentially noise-free image is obtained by unbiased inverse VST. Experimental results show that the proposed algorithm is competitive with several popular Poisson denoising techniques in both visual and objective metrics.
RANCANG BANGUN INFORMATION RETRIEVAL SYSTEM (IRS) KAMUS BAHASA-SUNDA.COM DENGAN METODE VECTOR SPACE MODEL (VSM)

Sundanese language is no longer the mother tongue / first language in its own area, but it has become the second language after the Indonesian language. The need for preservation of the Sundanese language in the form of online that can be accessed for its users so it will facilitate the searching of text documents especially sunda documents IRS Software is designed to provide the optimal document search results using VSM method, so users will get fast and accurate search results. The VSM method will weight every document in the database so that the documents have different weights to determine which documents are most similar to queries, the highest-weighted documents are ranked in the search results. The evaluation of IRS search results is done by recall and precision tests. Cosine calculation results known that Document 1 (D1) has the highest level of similarity and then followed by D3 and D2 documents is a point or vector in this space. It proves each query that is given has a different level of closeness to the existing documents, it can be Draw the conclusion dkumen which has a high level of similatas influenced by the given query