Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE PEMBELAJARAN IMAJINATIF MATERI MENGARANG BAHASA INDONESIA PADA SISWA SEKOLAH DASAR

&lt;p class="StyleAuthorBold"&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Penelitian bertujuan untuk mendeskripsikan proses perencanaan pembelajaran, pelaksanaan pembelajaran, dan hasil belajar siswa pada materi Mengarang mata pelajaran Bahasa Indonesia di kelas V Sekolah Dasar Negeri 14 Pontianak Kota dengan menggunakan metode pembelajaran imajinatif. Metode penelitian yang digunakan yaitu penelitian tindakan kelas dengan tahapan perencanaan, pelaksanaan, observasi, dan refleksi. Penelitian dilaksanakan dalam dua siklus. Subjek penelitian berjumlah 25 siswa. Teknik pengumpul data menggunakan observasi, wawancara, dan dokumentasi. Teknik analisis data menggunakan analisis deskriptif-kuantitatif. Hasil penelitian menunjukkan bahwa terdapat peningkatan dalam merencanakan pembelajaran, pelaksanaan pembelajaran, dan hasil belajar siswa dari siklus I ke siklus II.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p class="StyleAuthorBold"&gt;&lt;strong&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The research aimed to describe the learning planning process, the implementation of the learning process, and the student learning outcomes in the Composing material of Indonesian Language subject in class V of 14 Pontianak City Elementary School by used imaginative learning method. The research method used classroom action research with the stages of planning, implementing, observing, and reflecting. The research was conducted in two cycles. The research subjects were 25 students. Data collection techniques used observation, interviews, and documentation. The data analysis technique used quantitative-descriptive analysis. The results showed that there were an increase in planning learning, implementing the learning process, and student learning outcomes from cycle I to cycle II.&lt;/em&gt;&lt;/p&gt;
Cultivation of College English Teachers’ Comprehensive Abilities

The present paper is a detailed analysis of the cultivation of college English teachers’ comprehensive abilities. Language abilities, knowledge and culture-transmitting abilities, morality integration abilities and administrative abilities are analyzed in detail respectively in a bid to come up with ways to enhance these abilities.
Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation

The Web is a ubiquitous economic, educational, and collaborativespace, however, it also serves as a haven for personal information harvesting. Ex-isting decentralised Web-based ecosystems, such as Solid, aim to combat personaldata exploitation on the Web by enabling individuals to manage their data in thepersonal data store of their choice. Since personal data in these decentralisedecosystems are distributed across many sources, there is a need for techniques tosupport efficient privacy-preserving query execution over personal data stores.Towards this end, in this position paper we present a framework for efficient pri-vacy preserving federated querying, and highlight open research challenges andopportunities. The overarching goal being to provide a means to position futureresearch into privacy-preserving querying within decentralised environments.
BUGIS LANGUAGE MAINTENANCE STRATEGY IN LOMBOK

Bugis language is one of the Bugis ethnic cultural identities, which is still considered safe because it has a very large number of speakers throughout Indonesia. However, this language may undergo an extinction process, if there are no strategic efforts to maintain it. Therefore, the purpose of this study is to reveal the strategy of retaining Bugis speakers in Lombok to preserve the local language. The research was conducted at Paremas East Lombok in June-August 2019. This research used a descriptive quantitative approach. The results showed that the number of Bugis speakers in Lombok still exists, but the number is very small. Strategy to maintain the Bugis language in Lombok can be carried out in several steps, namely, encouraging Bugis people to continue to use the Bugis language in everyday life, promoting the use of Bugis language in the mass media, providing opportunities for Bugis ethnic students to learn their local language at school, and enlivening traditional art activities by telling stories using the Bugis Language. Keywords: local language, Bugis, ethnic, speakers
Σχεδίαση και ανάπτυξη εφαρμογής επαυξημένης πραγματικότητας για χώρους πολιτισμού

This thesis implements the educational game Taggling on a mixed reality device,”Hololens”. It is also examined through a user study, the experience and immerisionof users while playing the game.First, the theoretical and technological background is presented. In other words,the categories of educational games are listed and special emphasis is given to theircorrelation with cultural heritage. Afterwards, virtual, augmented and mixed realitytechnologies are described, with the latter being the theoretical basis of the MicrosoftHololens device. The basic features and development platforms such as Unity andMicrosoft Visual Studio are presented for this revolutionary tool.Next, the design and implementation of the TagglingMR application are described in detail, which has as its main purpose, by creating a virtual museum in anyroom, matching and associating exhibits with a number of attached tags. These tagsare initially randomly distributed in the exhibits and can be transferred to a bagby the user, through which it is allowed to assign each one to the correct exhibit, inother words, the one with which they have the greatest visual similarities.We conduct a user study by having a sample of ten people, in a typical home roomand begins by gathering data on their previous experience with these technologies.Then, after the use of the application by each participant, conclusions are drawnfrom two questionnaires, from the recorded video and the discussions with the userabout the experience and the problems encountered. The data is then analyzedto measure and evaluate the gaming experience and immersion rate, as well as toidentify possible application errors.Finally, we present the future directions and decisions that can be followed basedon the latest technological developments.
Speciation, bioavailability and human health risk of heavy metals in soil and spinach (amaranthus spp.) in Kano Metropolis, Northwestern-Nigeria

The rapid population growth and industrialization affected the environment momentously and one of the most noteworthy impacts is the toxicological effect of toxic chemical pollutants. The noxiousness of toxic heavy metals to ecosystem rests on their biochemical form therefore, measuring their chemical status gives more information than the determination of the concentration. This research aimed at assessing the chemical forms of heavy metals and ecological effects. Eight soil and spinach samples were collected using point composite sampling method. The soil was analyzed using five stages of sequential extraction methods. The results were subjected to statistical analysis to carry out a descriptive and inferential statistic. The results revealed that significant fraction of the heavy metals exist in carbonate bond form (63.57%) which is accessible to plant, then residual (11.46%), Fe – Mn oxide (9.39%), organically bond (8.12%) and, exchangeable form (7.53%), furthermore, Ni (100.02 mg kg-1) and, Pb (29.02 mg kg-1) have the highest concentration in the spinach. The bioavailability of chemical pollutants ranked in this direction as: Ni > Cd > Pb > Zn & Cu > Cr. The high potential of non-carcinogenic effect by Ni and the carcinogenic effect in the area due to elevated values of risk proportion and risk guide. The available form of heavy metals is present in substantial proportion and consequently, there is serious threat with regard to the carcinogenic effect.
Detection of Artificial Images and Changes in Real Images Using Convolutional Neural Networks.

Image recognition has now become one of the most popular methods used in the entertainment industry, media, automotive, etc. The possibilities provided by neural networks and deep learning algorithms, cause the development of various methods for generating, modifying and falsifying information. An example would be the use of deep learning algorithms to replace faces in a video recording. Social networks, video materials are full of fake video and images. Our work proposes a method of detecting forgery on real images and detecting artificially generated images using Convolutional Neural Networks (CNN). Our approach introduces the possibility of classifying images into one of three classes: the class of real images, the class of real and modified images, and the class of artificially generated images. An important element of our work is the practical detection of modified or artificially generated images that could be used when phishing biometrically protected data. The research has been narrowed down to the facial images of people of different skin colour, nationality and age. The conducted tests show the acceptable effectiveness of our method and become a positive element of further experiments.
CELI 1 (A2) Sample Test with Teacher’s Feedback

CILS B1 Sample Test The Certification of Italian as a Foreign Language (Certificazione di Italiano come Lingua Straniera or CILS) is a qualification offered by the Foreigners University of Siena for foreign speakers of the Italian language, recognizing various levels of language proficiency. Each part of the examination is evaluated independently, so to pass the exam you must have obtained the necessary grade in each section. If this is not the case, then it is possible to retake the necessary sections. Please complete this sample test and email it back to us at info@speakitalynyc.com to find out your score.
Deep Learning Autoencoder for Single Specimen Face Remembrance

This paper aims learning powerful picture portrayal for single preparing test per individual face acknowledgment. Propelled at achievement of deep learning (DL) within picture portrayal, this article proposes a regulated autoencoder (AE), which is another sort of edifice obstruct for deep structures. There are 2 highlights particular our managed AE from standard AE. In the initial place, we uphold the countenances by variations to be delineated using the standard substance of the diacritic, as example, frontispiece having unbiased appearance and typical enlightenment, further, we uphold features comparing to an analogous diacritic to be comparable. Therefore, our administered autoencoder separates the highlights which are strong to fluctuations in light, articulation, impediment, and present, and encourages the face acknowledgment. We heap such regulated AEs to achieve the deep design and utilize it for separating highlights in picture portrayal. Exploratory corollary on the Extended Yale B (Athinodoros Georghiades, et al., 2001. From few to many: Illumination cone models for face recognition under variable lighting and pose. PAMI, 23(6), pp.643–660), informational collections show that by coupling with the normally utilized inadequate portrayal based grouping, our stacked managed AEs-based face portrayal essentially beats the usually utilized picture portrayals in single example per individual face acknowledgment, and it attains lofty cognizance precision conflicted and alternative DL prototypes, which includes the deep Lambertian organize, incite of appreciably fewer preparing detail and without area data. Additionally, regulated AE can correspondingly be utilized for face check that additionally shows its acceptability for frontispiece rendering.
Self-supervised Bayesian Deep Learning for Image Denoising

Deep learning is currently one prominent approach for image denoising, and most of existing works train a denoising neural network (NN) on many pairs of noisy images and their clean counterparts. Recent studies showed that it is possible to train a denoising NN on a dataset consisting of only noisy images. This paper took one step further to study how to train a powerful denoising NN for a given image without any training samples, which is appealing to the applications where collecting training samples is challenging. For instance, biological imaging and medical imaging. Built on the Bayesian neural network (BNN), this paper proposed a self-supervised deep learning method for denoising a single image, in the absence of training samples. The experiments showed that the performance of our self-supervised method is very competitive to those state-of-the-art supervised ones.
MODEL DESIGN OF PUBLIC SERVICE INFORMATION SYSTEM IN WEB-BASED DUKUHKARYA VILLAGE

Advances in information technology have a major impact on government agencies so that information systems are needed to create work efficiency and effectiveness. Dukuhkarya sub-district, located in the Rengasdengklok sub-district, Karawang regency, receives assignments from the regency / city to administer some administrative affairs based on the principles and assistance tasks. Several types of public services at Dukuhkarya Village are the making of a letter of application for KTP, KK, resident domicile certificate, death certificate and birth certificate. Unfortunately, the public service process carried out by Dukuhkarya Village has experienced problems such as inadequate facilities and infrastructure, limited services provided by the urban village and data storage is still carried out in the form of books or archives so that errors often occur even there are some files that are lost or damaged due to the large number of archives in the Village. The software development method used is the Waterfall Model. The system was built using the PHP codeigniter framework with MySQL as the database management software. This system can produce Certificate of Death, Certificate of Birth, Certificate of Domicile of Resident, Certificate of KK Making, and Certificate of Making KTP. The system built has not yet reached the implementation stage in the village because it is still in the internal testing stage. However, from the internal test results it can be seen that the system can function properly and as needed.
Is Neural Language Model Perplexity Related to Readability?

This paper explores the relationship between Neural Language Model (NLM) perplexity and sentence readability. Starting from the evidence that NLMs implicitly acquire sophisticated linguistic knowledge from a huge amount of training data, our goal is to investigate whether perplexity is affected by linguistic features used to automatically assess sentence readability and if there is a correlation between the two metrics. Our findings suggest that this correlation is actually quite weak and the two metrics are affected by different linguistic phenomena.1
PHONETIC AND PHONOLOGY STUDY: AVIATION SAFETY IS ON THE TIP OF THE TONGUE

A large number of researches had been conducted in the subject of phonetic and phonology,yet none of them had given a special concern on waypoint pronunciation. This research wasaimed to understand the consideration of phonetic and phonology in aviation industryespecially in air-ground communication. This research was also aimed to provide anypossible solutions to solve air-ground communication problem in terms of sound andspelling. Air-ground communication is so important that miscommunication should beanticipated. Miscommunication in air-ground communication may result a serious incident oraccident. A smooth air-ground communication will automatically promote the safe andefficient conduct of flight. The research had found that there was a lack of awareness inEnglish sound and spelling within air traffic controllers in Makassar Air Traffic ServiceCenter. There are some factors which have resulted the condition such as the absence ofsound and spelling subject in the syllabus of the initial ATC training. Another factor is theabsence of labio-dental fricative sounds in Indonesian local language.
Genealogical Tree Construction of Research Paper

In this work, we propose to construct a Genealogical Tree of research papers. A Genealogy tree of research papers is a tree-like structure that captures information diffusion (transfer of genes) from parent papers to its citations (children). The nodes in the tree denote papers, and the edges represent the information passed from one generation to the other. A genealogy tree can be leveraged to understand better any research topic’s lineage and any specific paper’s influence
Evaluation of the Ontology Visualization usingKey Performance Indicators

Semantic Web supports methods that go beyondthe traditional web application in a way that it can facilitatemachines to understand the meaning of information on theInternet. Ontology is a package of data together with theirrelationship, structure, and constraints. Ontology makesinformation a meaningful knowledge which can not onlyconvey semantic meanings but can be interpreted andunderstood by machines as well. Ontologies are a keytechnology for the semantic web, as they are responsible forproviding this context. Visualization is an important taskrelated to ontologies. Visualization of ontologies is neededfor showing their content and relations between theirelements. In this paper we generated visual representationof three ontologies using Protege as one of the most populartools for ontology visualization. Protege can be extendedwith pluggable components to add new functionalities. Theevaluation of the ontology visualizations are implementedaccording Key Performance Indicators (KPIs) such as:interaction possibility, insight in data, interoperability,visibility.
IMPROVING STUDENTS’ READING COMPREHENSION THROUGH INDONESIAN FOLKTALE AT EIGHT GRADE OF SMP NEGERI 2 DONDO

The objective of this research is to find out whether Indonesian Folktale can improve students’ reading comprehension  or not. This research is pre experimental research design consist of one group pre-test and post-test. The Population of this research are the eight grade of SMP Negeri 2 Dondo in 2016/2017 academic year. The sample of this research is selected by using purposive sampling technique and the selected class is VIIIb consisted of 29 students. In collecting the data, the researcher conduct test covered pre and post test. The researcher analized the data statically.The result of the test showed that the students’ mean score in posttest 74.83 is higher than pretest 33.38. To know the significant difference between pretest and posttest, the researcher compared the value of t-counted and t-table by applying 0.05 level of significance for two-tailed test with 28 degree of freedom (29-1=28), the researcher found that the t – table is 2.048. It means that the t-counted (23.96) is higher than t-table (2.048) and the hypothesis of this research is accepted.The researcher concluded that using Indonesian Folktale can improve students’ reading comprehension at eight grade of SMP Negeri 2 Dondo. Key Word : Reading comprehension, Indonesian Folk tale .
Developing a methodological approach to measure cognitive load during complex problem solving: Working to understand the role of spatial ability in problem solving

Developing a methodological approach to measure cognitive load during complex problem solving: Working to understand the role of spatial ability in problem solving
PENGUASAAN BAHASA LISAN ANAK USIA 4 TAHUN

The development of children's language including aged 4 years is an important thing because with the language the child can communicate with friends or people around. Language is the main in expressing the mind and knowledge when the child is in contact with others. A child growing and developing communicates child needs, thoughts and feelings through language with meaningful words. Goal in this research to: 1) know the articulation sounds in 4 years old; 2) to know communication in 4 years old; 3) to know the factors that influence the mastery of spoken language of children. The approach used in this research is to use qualitative approach. As for the method, the researcher uses case studies because this study describes the actual condition of a condition or circumstances. Data collection techniques obtained through observation, interviews and documentation. From the result of the research, it can be concluded that: 1) articulation sounds in child 4 years old still found some words that experience sound changes. The change in sound is a stage to produce the perfect articulation sound; 2) communication on child 4 years old is good enough already able to use the pronoun of person in communicate, have various word question and adjective, have understanding and understanding about something, child able to express feeling with simple sentence even though must be asked first; 3) health, intelligence, family socioeconomic status, and family relationships can influence the development of spoken language in child.
Constructivism-based Instructional Style in Teaching and Learning Cultural Values

Cultural values are important to be integrated in teaching and learning English. Under the paradigm of global literacy, it is important for EFL learners to express their cultural identity as local people by using English as global language. An appropriate instructional style is therefore considered as important factor in teaching and learning cultural values. This essay aims to discuss the importance of cultural values for EFL learners, and to propose a design of instructional style in teaching and learning cultural values based on constructivism theory. Keywords: cultural values, instructional style, constructivism, English
Developing Educational Mobile Game on Entering School During the New Normal of COVID-19 Pandemic

The COVID-19 pandemic forced most governments in different parts of the world to close schools temporarily to curtail the spread of the virus. Billions of students, or most of the student population in the world from kindergarten to university level, have stopped their education temporarily. A lot of children, youth, and adults are not attending schools due to the increased spread of COVID-19, and they will be returning back to school in a new normal environment someday. This paper aims to develop a small mobile game to inform students how to adapt to the new normal environment in learning. In developing the application, the researcher conducts qualitative approaches of Game Development Life Cycle that consists of 6 stages: initiation, pre-production, production, testing, beta, and release. It is hope that the new mobile game model would be easier, more fun, and interesting especially for children and youth. This research is still ongoing and is aimed at ensuring that the mobile game is an effective and feasible model to inform students entering the new normal learning environment.
Sí, profe, pero… La enseñanza de la argumentación oral en el aula de E/LE

Resumen: El trabajo que se presenta es una propuesta teórico-práctica sobre la argumentación oral en el aula de E/LE a partir de ciertos conceptos sobre la argumentación como los topoi o los tipos de argumentos. El estudio se divide en dos secciones: por una parte, se mostrarán las bases teóricas en la que se sustenta la propuesta y; por otra parte, se propondrán una serie de actividades para llevar a cabo en el aula de E/LE con el objetivo de mejorar las habilidades argumentativas de nuestro alumnado.&#x0D; Palabras clave: argumentación en la lengua, topoi, orientación argumentativa.&#x0D; Yes, teacher, but… Learning to teach oral argumentation in E/LE classroom&#x0D; Abstract: The aim of this paper is to explain how the theory of arguments can help E/LE students to improve their oral argumentative skills. For instance, notion like topoi, which is a concept of the theory of arguments based on Anscombre and Ducrot approach, or even the types of arguments. To do this, this paper first displays the theoretical basis of this framework, and second it promotes a set of activities to achieve an improvement in the student’s argumentative skills. &#x0D; Key words: theory of arguments, topoi, argumentative orientation