Reviewerly/exHarmony huggingface dataset:
EDAMS: Efficient Data Anonymization Model Selector for Privacy-Preserving Data Publishing

The evolution of internet to the Internet of Things (IoT) gives an exponential rise to the data collection process. This drastic increase in the collection of a person’s private information represents a serious threat to his/her privacy. Privacy-Preserving Data Publishing (PPDP) is an area that provides a way of sharing data in their anonymized version, i.e. keeping the identity of a person undisclosed. Various anonymization models are available in the area of PPDP that guard privacy against numerous attacks. However, selecting the optimum model which balances utility and privacy is a challenging process. This study proposes the Efficient Data Anonymization Model Selector (EDAMS) for PPDP which generates an optimized anonymized dataset in terms of privacy and utility. EDAMS inputs the dataset with required parameters and produces its anonymized version by incorporating PPDP techniques while balancing utility and privacy. EDAMS is currently incorporating three PPDP techniques, namely k-anonymity, l-diversity, and t-closeness. It is tested against different variations of three datasets. The results are validated by testing each variation explicitly with the stated techniques. The results show the effectiveness of EDAMS by selecting the optimum model with minimal effort.
CODE SWITCHING USED BY THE ENGLISH TEACHER IN SMP N 1 MANISRENGGO

The aim of this research is to describe code switching used by an English teacher in the English teaching and learning process in SMP N 1 Manisrenggo. This research was conducted to analyze (1) the types of code switching and (2) the reasons for using code switching in the English teaching and learning process. This research was a descriptive qualitative research. The techniques of collecting data were observation, video audio recording, and interview. After gathering the data, the researcher transcribed and classified the types of code switching and the reasons for using code switching. The result of this research showed there were two types of code switching and four reasons for using code switching.Based on the analysis of the data, situational code switching appeared more often than metaphorical code switching, and the reasons for using code switching most frequently appeared in the teacherâ€™s utterances is Repetition used for Clarification.
Algorithm for precise positioning of photovoltaic panels

The article presents a driver for two-axis tracking system which tracks the apparent position of Sun on elliptical sphere. The device usues data from the GPS module, based on received information, determines current latitude and longitude. Then the time of sunrise and sunset times and day length are calculated. The next step is to accurately determine the direction of sunrise and sunset using data obtained from a magnetometer module, that measures the change in magnetic field. The final step is to determine and adjust the angle of photovoltaic panels inclination. The gyroscope is responsible for the proper positioning of photovoltaic panels, which determines their inclination angle in vertical position. The accelerometer in cooperation with magnetometer module determine the horizontal position of solar panels. In the article compares the methods used to determine the maximum power point of photovoltaic installation.
Development of a Mobile Application in Arabic Language Learning in Malaysia: An Overview

The rapid advancement of multimedia technology from day to day has led to the changing lifestyles of the present society.Multimedia technology plays a part in influencing the field of education and consequently has been integrated into the education system.Arabic language learning is also not exempted from the use of this technology.Through multimedia technology, Arabic language learning has become widespread with no limitations of time or place.In addition, the teaching and learning process of Arabic language will be easier and more fun.Therefore, this study aimed to explore the development of multimedia technology in the field of Arabic language learning especially in Malaysia.This study used the qualitative method by employing a descriptive analysis of previous studies.It is hoped that this study would serve as additional information that would assist any party in enhancing their efforts to improve students' mastery of Arabic language in the future.
Networked Multi-Agent Reinforcement Learning with Emergent Communication

Multi-Agent Reinforcement Learning (MARL) methods find optimal policies for agents that operate in the presence of other learning agents. Central to achieving this is how the agents coordinate. One way to coordinate is by learning to communicate with each other. Can the agents develop a language while learning to perform a common task? In this paper, we formulate and study a MARL problem where cooperative agents are connected to each other via a fixed underlying network. These agents can communicate along the edges of this network by exchanging discrete symbols. However, the semantics of these symbols are not predefined and, during training, the agents are required to develop a language that helps them in accomplishing their goals. We propose a method for training these agents using emergent communication. We demonstrate the applicability of the proposed framework by applying it to the problem of managing traffic controllers, where we achieve state-of-the-art performance as compared to a number of strong baselines. More importantly, we perform a detailed analysis of the emergent communication to show, for instance, that the developed language is grounded and demonstrate its relationship with the underlying network topology. To the best of our knowledge, this is the only work that performs an in depth analysis of emergent communication in a networked MARL setting while being applicable to a broad class of problems.
The Role of the On-Line Multi-Media Library "Eco-School" in Extracurricular Activities of Students

The experience of the urban secondary school on the development and implementation of its own model of the on-line multi-media library of environmental orientation as one of the clusters of multifunctional school information and library center is presented in the article. The purpose of the article is to consider the purpose, objectives, principles, expected outcomes of implementing this model, its structure, components, material and technical parameters and conditions of forming of networking cooperation between educational institutions, ready-to-use possibilities of multi-media library «ECO-school». The authors outline that in general, the multi-media library «ECO-school» is defined as a sphere of media education with special means and methods to ensure the educational process aimed at creating conditions for the implementation of students’ individual trajectories and expanding the digital space of extracurricular activities on the basis of networking cooperation. During the study the following methods were applied: analysis, observation, and comparison. The model developed by the MAEI "Secondary school №26" in Ulan-Ude of the Republic of Buryatia is considered in the article. It is based on the principles of introducing electronic resources based on the school library as a factor that directly affects the quality of education. It is concluded that on the one hand, the multi-media library provides remote access to information resources belonging to other subjects of the information space represented on the Internet. On the other hand, the multi-media library «ECO-school» forms information resources created directly at the school or by members of the network community. In addition, the article provides brief guidelines for the application of the on-line multi-media library resources in students’ extracurricular environment-related activity.
Premier Performance: Improweb MMXIX – for solo fretless electric guitar | composed by Perks, R

World premier performance of: Improweb MMXIX for solo fretless electric guitar – composed by Perks, R. This piece explores various techniques and timbres unique to the fretless electric guitar, alongside technological augmentation (including the integration of effects pedals, loops, E-Bow etc.)
The Algorithm of Scene Summary synthesis Based on Semantics

Abstract According to the key technique of semantic-based video retrieval, the paper presents directly extracting I-frames in the compressed domain, and using the DC coefficient of I frame to establish the model of information system. Then the reduction of I Frame by the theory of attribute reduction based on RS, to produce A key frame that reflects the main content of the lens. Finally, the key frames ‘s DC coefficient has constructed the mathematical modeling, and has classified the shot according to the differences of frames. So the polymerization of I frames of similar lens, we could obtain the scenario summary.
EFEKTIVITAS STRATEGI PEMBELAJARAN PERTANYAAN MENUJU PARAGRAF (PMP) DALAM PEMBELAJARAN MENULIS TEKS EKSPOSISI PADA SISWA MTs KELAS VIII

ABSTRAK Penelitian ini bertujuan untuk mengetahui efektivitas strategi PMP dalam pembelajaran menulis teks eksposisi siswa SMP kelas VIII pada aspek (1) menulis judul, (2) menulis tesis, (3) menulis argumen, (4) menulis penegasan ulang, dan (5) kebahasaan teks eksposisi. Rancangan pada penelitian ini menggunakan pendekatan kuantitatif denagn jenis penelitian kuasi eksperimen dengan uji beda sampel berpasangan untuk menguji hipotesis. Hasil uji hipotesis menunjukkan bahwa strategi PMP efektif digunakan dalam pembelajaran menulis teks eksposisi siswa SMP kelas VIII pada aspek menuli sstruktur teks namun tidak efektif digunakan pada aspek menulis judul dan aspek kebahasaan teks eksposisi. Kata kunci : efektivitas, strategi PMP, menulis, teks eksposisi. ABSTRACT The purposes of this research consist of know the effectiveness of the PMP strategy that is used to (1) write tilte of exposition text, (2) write exposition text thesis, (3) write exposition text arguments, (4) write a reaffirmation of exposition text, (5) liguistic aspects of text exposition. This research used quantitative research that consisted of a quasi-experimental research design in the pretest-posttest paired sample test design. The results in the group showed that the Strategy Towards Paragraph (PMP) is effectively to write the exposition text of class VIII students junior hight school, but not efectively to write title of exposition title anda linguistic aspects. Keywords : Question Towards Paragraph Strategies (PMP), ability to write exposition text, exposition text 1 1 1 1 MicrosoftInternetExplorer4 0 2 DocumentNotSpecified 7.8 磅 Normal 0
Tentative Study on Solving Impulse Control Equations of Plant-pest-predator Model with Differential Evolution Algorithm

In recent years, using ecological control method for pest management has become a hot topic, and some pest-predator models have been proposed. These models are expressed by impulse control equations, and which can be transformed into a global optimization problem. But it is easy to fall into local optimal when solving these equations by traditional method. On the other hand, differential evolution (DE) algorithm has been widely used to solve a variety of complex optimization problems. Therefore, attempting to solve the impulse control equations of plant-pest-predator model by DE algorithm is an important motivation of this paper. In order to further enhance the optimization capability, a rotation-based differential evolution (RDE) was introduced by embedding a rotation-based learning mechanism into DE. The simulation experiments show that the RDE algorithm can solve the impulse control equations effectively, and the results are more competitive than those obtained by the traditional algorithms. Meanwhile, the convergence speed of RDE algorithm is also very fast. This preliminary study may provide a new method for solving ecological control problem.
PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems

Open-domain generative dialogue systems have attracted considerable attention over the past few years. Currently, how to automatically evaluate them, is still a big challenge problem. As far as we know, there are three kinds of automatic methods to evaluate the open-domain generative dialogue systems: (1) Word-overlap-based metrics; (2) Embedding-based metrics; (3) Learning-based metrics. Due to the lack of systematic comparison, it is not clear which kind of metrics are more effective. In this paper, we will first measure systematically all kinds of automatic evaluation metrics over the same experimental setting to check which kind is best. Through extensive experiments, the learning-based metrics are demonstrated that they are the most effective evaluation metrics for open-domain generative dialogue systems. Moreover, we observe that nearly all learning-based metrics depend on the negative sampling mechanism, which obtains an extremely imbalanced and low-quality dataset to train a score model. In order to address this issue, we propose a novel and feasible learning-based metric that can significantly improve the correlation with human judgments by using augmented POsitive samples and valuable NEgative samples, called PONE. Extensive experiments demonstrate that our proposed evaluation method significantly outperforms the state-of-the-art learning-based evaluation methods, with an average correlation improvement of 13.18%. In addition, we have publicly released the codes of our proposed method and state-of-the-art baselines.
A Resource for Studying Chatino Verbal Morphology

We present the first resource focusing on the verbal inflectional morphology of San Juan Quiahije Chatino, a tonal mesoamerican language spoken in Mexico. We provide a collection of complete inflection tables of 198 lemmata, with morphological tags based on the UniMorph schema. We also provide baseline results on three core NLP tasks: morphological analysis, lemmatization, and morphological inflection.
Hybrid Gravity Gradient Inversion-PSO algorithm for Motion Planning of Mobile Robots

Motion planning is a common task required to be fulfilled by robots. A novel strategy combining particle swarm optimization and gravity gradient inversion algorithm is proposed for motion planning of mobile robots. Particle Swarm Optimization (PSO) is employed to do motion planning and fitness function in PSO is built based on gravity gradient inversion algorithm. The relative distance and orientation between each particle and the center of an obstacle is calculated by gravity gradient inversion algorithm, then, a fitness function is built based on the distance and orientation. The proposed strategy is validated by the simulation and experiment results.
Mapping the Strength of Research in the Focus Areas for Information and Communication Technology based on SCOPUS 2014 – 2018

Abstract Higher education is one of the most critical stages of education in a country. Most experts in various fields become proficient through higher education. Therefore, providers of tertiary education or tertiary institutions must continuously improve the quality of their education. One way to improve its quality is by mapping university excellence. This mapping was held to see the advantages of each provider in Indonesia. As an education center, as well as a research center, one that can be used as a basis for mapping is scientific publications. In this study, the superiority to be seen refers to RPJPN 2005-2025 and RPJMN 2015-2019 and mapping based on journals in SCOPUS 2014-2018, which focuses on Information and communication technology. This mapping was carried out by the Ministry of Research, Technology and Higher Education, Republic of Indonesia (KEMENRISTEKDIKTI) with an assignment research scheme for strategic policy studies with a focus on information and communication technology. The results of the research discussion conclude that ITB (Bandung Institute of Technology) which has the most of total journal publications for the field of Information and communication technology focuses on 1313 journal publications.
Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-based Approach

As the popularity of Smart Televisions (TVs) and interactive Smart TV applications (apps) has recently grown, the usability of these apps has become an important quality characteristic. Previous studies examined Smart TV apps from a usability perspective. However, these methods are mainly manual, and the potential of automated model-based testing methods for usability testing purposes has not yet been fully explored. In this paper, we propose an approach to test the usability of Smart TV apps based on the automated generation of a Smart TV user interaction model from an existing app by a specialized automated crawler. By means of this model, defined user tasks in the Smart TV app can be evaluated automatically in terms of their feasibility and estimated user effort, which reflects the usability of the analyzed app. This analysis can be applied in the context of regular users and users with various specific needs. The findings from this model-based automated analysis approach can be used to optimize the user interface of a Smart TV app to increase its usability, accessibility, and quality.
Ensemble Learning via Multimodal Multiobjective Differential Evolution and Feature Selection

Ensemble learning is an important element in machine learning. However, two essential tasks, including training base classifiers and finding a suitable ensemble balance for the diversity and accuracy of these base classifiers, are need to be achieved. In this paper, a novel ensemble method, which utilizes a multimodal multiobjective differential evolution (MMODE) algorithm to select feature subsets and optimize base classifiers parameters, is proposed. Moreover, three methods including minimum error ensemble, all Pareto sets ensemble, and error reduction ensemble are employed to construct ensemble classifiers for executing classification tasks. Experimental results on several benchmark classification databases evidence that the proposed algorithm is valid.
Kreitzberg Library: Temporary Open Digital Resources: Project Muse

Many publishers are opening paywalls or offering extended trial access to their content to support emergency online research during the Spring 2020 semester.
Exploring a blended mobile learning environment to develop students' scientific inquiry skills in science museums

Informal environments, such as science museums, are known to have potentials for developing scientific inquiry skills. Mobile devices, including smartphones and portable tablets, are increasingly applied to scaffold exploration due to their convenience and interactivity. Although the pedagogical affordability of mobile devices has been widely investigated, designing a blended mobile learning environment in science museum still need to be explored further. In this study, a blended mobile learning environment and a set of activities are designed by adapting to learners' different styles. Subsequently, a quasi-experimental research with two original classes of 66 participants was conducted to examine the differences in their scientific inquiry skills. Moreover, the learners' attitude on the blended mobile learning environment has been measured using questionnaire. Results show that a well-designed blended mobile learning environment in science museums is effective in developing students' scientific inquiry skills.
THE IMPACT OF RULE OF LAW ON FDI INFLOW: A POOLED MEAN GROUP ANALYSIS OF SELECTED SSA COUNTRIES

Purpose of the study: The main objective of this study is basically to investigate the impact of rule of law on FDI inflow for a panel of six selected SSA countries comprising, Ethiopia, Tanzania, Senegal, Nigeria, Congo Republic, and Sudan.&#x0D; Methodology: The study utilized the Pooled Mean Group (PMG) dynamic heterogeneous panel approach covering the period 1996 – 2017.&#x0D; Main Findings: The results indicate that adherence to the rule of law is directly related to the inflow of FDI in the selected countries in the long-run, whereas its impact is insignificant on FDI during the short-run.&#x0D; Applications of this study: The study is useful to SSA countries since it will provide policymakers with the necessary insight to formulate appropriate policies to effectively promote adherence to the rule of law with a view to boost foreign investors’ confidence in the economies and stimulate the inflow of FDI.&#x0D; Novelty/Originality of this study: This paper is amongst the first to utilize the PMG dynamic heterogeneous panel approach to explore the relationship of rule of law with the inflow of FDI in the six SSA countries.
Crystallographic technology as the way of verification quality of solutions of high dilution

Introduction: Studying of features of various influences on biosubstrates is interesting to practice, especially in the field of high dilutions (HD) researches. Majority of work in this area include only different methods of spectrophotometry, but informative approaches to their estimation are usually ignored, in particular, a crystallographic analysis is one of them. The present work is aimed at revealing thorough knowledge in the different influencesâ€™. The attempts of the crystallogenesis phenomenon are used in pharmacology of 30s years of XX century. At that time the priority problem, in these field, was shown the identification of preparations composition that was founded on suggestion about special type of their crystals. Besides, crystallographic analysis can be useful as way of verification quality. At present the growth of assortment and efficiency of influencesâ€™ can be ranked to most significant trends of HD. As a rule, medical biological activity decreasing is accompanied by the parallel growing of electromagnetic, amega and another influence. This fact requires undertaking the careful test of proposed preparation for revision of all sides of its actions, for what the different biological models, first of all laboratory bestial, are often used. Methods: As analyzed samples ofÂ NaCl solutions were taken. The concentration at the solution was 0,1%; 0,9% and 10%Â with Â the use of solutions of High Dilution of Arnica 6 before and after influence. We used some crystalloscopic methods of biofluids study, such as classical crystalloscopy, allowing install the particularities own crystallogenesis of biosubstrates, and differential teziography, visualizing biofluid initiation potential. Tezigraphic component was investigated by main and additional parameters, characterizing physical and chemical properties of biological fluids. The count of derived factors of the teziocrystalloscopy was realized for full mathematical description and modeling of biosubstratescrystallogenesis. The dehydration picture of solution of any component composition is resulting from multiple parameters. Statistical processing was executed in Microsoft Excel 2003 and program packages SPSS 11.0 and Primer of biostatistics 4.03.Â Â Â The NaCltesigrafic activity was compared with itsÂ crystalloscopy before and after influence (the estimation in vitro). Results: It was allowed to select the optimum concentration of Na Cl solutions, which had sufficient activity (0,9%Â solution). In this connection investigation in vivo (on laboratory mice) was continued with 0,9% concentration only. It is stated that the clear dependency exists between exercised concentrations of solution and crystalloscopic picture, formed by them. In particular, it is revealed that most typical crystalline form (the morphotype) for investigated join is single-crystalline structure of "pyramid" type. The information about facets, formed after influence, can be used for identification of facility with provision for its solution concentration.