Reviewerly/exHarmony huggingface dataset:
LOCAL VORONOI TESSELLATIONS FOR ROBUST MULTIWAVE CALIBRATION OF COMPUTER MODELS

History matching using Gaussian process emulators is a well-known methodology for the calibration of computer models. It attempts to identify the parts of input parameter space that are likely to result in mismatches between simulator outputs and physical observations by using emulators. These parts are then ruled out. The remaining "not ruled out yet" (NROY) input space is then searched for good matches by repeating the history matching process. An easily neglected limitation of this method is that the emulator must simulate the target NROY space well, else good parameter choices can be ruled out. We show that even when an emulator passes standard diagnostic checks on the whole parameter space, good parameter choices can easily be ruled out. We present novel methods for detecting these cases and a Local Voronoi Tessellation method for a robust approach to calibration that ensures that the true NROY space is retained and parameter inference is not biased.
MOTIF KALAMAKARA PADA TEMUAN PERHIASAN EMAS ERA MAJAPAHIT KOLEKSI MUSEUM NASIONAL JAKARTA

Jewelry in the Classical era in Indonesia, especially in the Late Classic era, occupies an important position in society. Apart from being a symbol of a person's status and position, when discussing the depiction of jewelry on a statue or relief, the jewelry worn by a character is also an indication in determining the identity of the character. Jewelry in the Late Classical era was made of gold, which was considered to have high material, symbolic, and religious value in society at that time. Based on the findings of jewelry in the Late Classic era, especially the Majapahit era, there is an interesting phenomenon, namely the depiction of animal figures as decorations or ornaments. This phenomenon is seen in the crown, earrings, and shoulder harness, as found in Trowulan. In some jewelery, the form of kalamakara (kalamakara) is displayed, which is usually depicted on the gate of the temple, as a repellent to disaster. The depiction of kalamakara in jewelry raises questions about the background behind the depiction. This research was conducted using qualitative methods through observation of four samples of Majapahit era jewelry found in Trowulan, the collection of the Jakarta National Museum. It can be concluded that the existence of kalamakara as a motif in jewelry is related to the meaning of kalamakara in Javanese society, namely as a repellent for disaster. &#x0D; Keywords: jewelry, kalamakara motif, Majapahit era
Gamification Based On Blockchain Technology To Enhance Student Centered Learning

Gamification, the application of mechanical game techniques in non-game contexts, has become the primary choice underlies current education. Educational gamification can provide solutions to problems that arise due to traditional learning methods considered less under current human behavior. Blockchain has become a hot topic of discussion that is overgrowing in recent years. Blockchain comes from a world community and company that acts as infrastructure technology that develops in various fields, both industry and education. The main advantage of blockchain is that it is free from third parties so that the security, transparency, and integrity of the blockchain is quite high. At present, research on the blockchain that implemented in the field of educational gamification is still minimal in number. Our paper will identify and discuss the main problems related to education by implementing educational gamification applied to the Blockchain system. This paper proposes an initial gamification model as a foundation for the development of future applications and research.
KOMPARASI KETERAMPILAN MENULIS TEKS LAPORAN HASIL OBSERVASI DENGAN KETERAMPILAN MENULIS TEKS CERITA FANTASI SISWA KELAS VII SMP NEGERI 22 PADANG

ABSTRACTThe purpose of this research was to describe things as follow. First, it describes the writing skills of the report text of observations of grade VII junior high school 22 Padang. Secondly, it describes the writing skills of fantasy text for VII grade students of junior high school 22 Padang. Third, analyze the comparasion between the writing skills of the observation report text and the fantasy story writing skills of the seventh grade student. This type of research is quantitative research with descriptive analysis. Based on the result of the study, the following three things were concluded. First, the writing skills of the report text of observations of grade VII students of junior high school are in good qualifications (82,82). Secondly, the skills to write fantasy text for seventh grade student of junior high school 22 Padang are in good qualifications (80,66). Third, there is a significant difference between the writing skills of observations report text and the fantasy story writing skills of grade VII students of junior high school 22 Padang, so it can be concluded that H0 is rejected and H1 is accepted because the test results prove that the count is greater then the table 11,25&gt;1,68. Kata Kunci: Komparasi, Menulis Teks LHO,Menulis Teks Cerita Fantasi
TEDL: A Text Encryption Method Based on Deep Learning

Recent years have seen an increasing emphasis on information security, and various encryption methods have been proposed. However, for symmetric encryption methods, the well-known encryption techniques still rely on the key space to guarantee security and suffer from frequent key updating. Aiming to solve those problems, this paper proposes a novel symmetry-key method for text encryption based on deep learning called TEDL, where the secret key includes hyperparameters in the deep learning model and the core step of encryption is transforming input data into weights trained under hyperparameters. Firstly, both communication parties establish a word vector table by training a deep learning model according to specified hyperparameters. Then, a self-update codebook is constructed on the word vector table with the SHA-256 function and other tricks. When communication starts, encryption and decryption are equivalent to indexing and inverted indexing on the codebook, respectively, thus achieving the transformation between plaintext and ciphertext. Results of experiments and relevant analyses show that TEDL performs well for security, efficiency, generality, and has a lower demand for the frequency of key redistribution. Especially, as a supplement to current encryption methods, the time-consuming process of constructing a codebook increases the difficulty of brute-force attacks, meanwhile, it does not degrade the efficiency of communications.
Students' Perceptions of Drug Abuse and its Implications in Guidance and Counseling

This research is motivated by the fact that there are still students who do not know the adverse effects of drugs, there are still students who say good drugs, there are students who approach the characteristics of drug abuse seen from the physical, some students still smoke both in the school environment and the surrounding environment, still some are bored because it is not interesting to listen to information on drug abuse, and the provision of counseling services by BK teachers about drugs is still lacking by students. This study aims to describe students' perceptions of drug abuse and its implications in BK services. This research is a type of descriptive research using quantitative methods. The population of this study was students of class XI and XII of SMA Negeri 1 Batipuh, Tanah Datar District, totaling 515 people. A total of 225 people were selected using the Proportional Random Sampling technique. The instrument used was a questionnaire for students' perceptions of drug abuse using a Likert scale. Data were analyzed using descriptive statistical techniques. General research findings show that students' perceptions of drug abuse are good (78.67%). Based on the aspect of cognition in the good category (78.22%), students' perceptions based on the affection aspect were in the good category (47.11%) and perceptions based on the konasi aspect were in the good category (77.33%). Based on the research findings, it is suggested to the school counselor / school counselor to be able to provide guidance and counseling services in the form of information services, and group guidance services so that students are able to have good perceptions and increase students' insight on drug abuse.
KEY FACTORS INFLUENCING LEARNERS’ ORAL FLUENCY IN ENGLISH SPEAKING CLASSES: A CASE AT A PUBLIC UNIVERSITY IN VIET NAM

In the field of English language learning, speaking is regarded as one of the most important skills to be developed and enhanced continually as means of effective communication. In most English classes at universities, many students find it difficult to express themselves in spoken English. So this research aims to investigate prominent factors affecting fluency of second-year students in speaking skill. The study uses mixed research methods with two data collection instruments namely survey questionnaire and semi-structured interview. The participants joining the survey questionnaire include 98 English non-majored students who were taking the English speaking course in their second semester at a university. The semi-structured interviews were conducted with 15 teachers and 15 students. The findings reveal that the group of affective factors is the prominent one, and then followed by automation, error correction and performance factors influencing their oral fluency. Therefore, some useful recommendations focusing on interactive strategies to minimize learners’ difficulties in oral fluency as well as develop their fluency in English speaking performance in this study could be taken into account for EFL teachers in English speaking classes.
FACTORS THAT INFLUENCE STUDENT SATISFACTION IN USINGE-LEARNING MEDIA DURING THE CORONA PANDEMICPERIOD

The Corona pandemic has spread almost everywhere in the world. Indonesia became one of the affected countries. The education sector became one of the affected sectors and changed the learning process, which was initially dominated by conventional learning into E-Learning based learning. This sudden change makes all components of learning, especially teachers and instructors, have to adapt to use the facilities available. However, this sudden change inevitably creates obstacles to the achievement of learning objectives. Therefore, it is considered important to evaluate the learning process through this e-learning facility so that teaching participants can feel satisfied and the learning objectives are achieved. The research method used is a mixed method method by conducting a qualitative method first to design a model of insight obtained from interviews with respondents then using quantitative methods to obtain statistical values to strengthen the proposed model.A total of 153 respondents' data were processed using Partial Least Square software. The results of data processing prove model is valid and reliable. The model has strong predictive power. From four proposed variables, Perception Ease of Use, Perception Usefulness, and Facilitating Condition have a significant positive effect on User Satisfaction (students). And student satisfaction has a significant positive effect on the future use of e-learning media behavior.
A Video-Based MarkerLess Body Machine Interface: A Pilot Study

Regaining functional independence plays a crucial role to improve the qualify of life of individuals with motor disabilities. Here, we address this problem within the framework of Body-Machine Interfaces (BoMIs). BoMIs enable individuals with restricted mobility to extend their capabilities by mapping their residual body movements into commands to control an external device. In this study, we propose a video-based marker-less interface that can track the position of the shoulders and the head using a state-of-the-art approach relying on the DeepLabCut (DLC) architecture. The high-dimensional body signal is then mapped into a lower dimensional space via non-linear variational autoencoder to obtain commands for a 2D computer cursor. First, we perform an offline test to evaluate the prediction power of the DLC fine tuned model. Then, we verify whether the proposed pipeline can be used to control a computer cursor in real-time. Results showed that the network can accurately predict the position of body landmarks. Moreover, an unimpaired participant was able to efficiently operate the computer cursor and gain a high-level of control skill after training with the interface. This enables performing experiments with video-based marker-less BoMIs for future implementation of an assistive device for people with motor disabilities.
METHODOLOGICAL SUPPORT OF INSTRUCTING MATHEMATICS IN E-LEARNING ENVIRONMENT

METHODOLOGICAL SUPPORT OF INSTRUCTING MATHEMATICS IN E-LEARNING ENVIRONMENT
Pengembangan Media Pembelajaran Matematika Berbasis Android untuk Tingkat SMP

This research is to develop android-based mathematics learning media for the junior high school level. This research was conducted at MTs Al-Wathoniyah 08. The research model used to develop this media was the ADDIE model. In this research, the product was tested on one media expert, one material expert, one linguist and a field trial. From the overall average value obtained from the validator, the expert teachers and students obtained a mean score of 3.65, which includes the category "Very Eligible". Formative evaluation results from media experts obtained a mean score of 3.8 which included the category "Very Eligible". Formative evaluation results from material experts obtained a mean score of 3.65, which includes the category "Very Eligible". Formative evaluation results from linguists obtained a mean score of 3.6 which falls into the "Very Eligible" category. The results of field evaluations from mathematics subject teachers obtained a mean score of 3.65 which falls into the "Very Eligible" category. And the results of student responses to the Android-based mathematics learning media obtained a mean score of 3.57 which belongs to the "Very Eligible" category. It can be concluded that the learning media developed "Very Worthy" is used in the learning process.
Improved Automated Identification and Mapping of Iron Sulfate Minerals, Other Mineral Groups, and Vegetation using Landsat 8 Operational Land Imager Data, San Juan Mountains, Colorado, and Four Corners Region

First posted February 24, 2021 For additional information, contact: Director, Geology, Geophysics, and Geochemistry Science CenterU.S. Geological SurveyBox 25046, MS-973Denver, CO 80225-0046 Multispectral remote sensing data acquired by the Landsat 8 Operational Land Imager (OLI) sensor were analyzed using a new, automated technique to generate a map of exposed mineral and vegetation groups in the western San Juan Mountains, Colo., and the Four Corners Region of the United States. Band ratio results were combined into displayed mineral and vegetation groups using Boolean algebra. New analysis logic has been implemented to exploit the coastal aerosol band in Landsat 8 OLI data and identify concentrations of iron sulfate minerals. These may indicate the presence of near-surface pyrite, which can be a potential nonpoint source of acid rock drainage. Zoned occurrences of iron sulfate minerals in areas surrounding and down gradient of known sources of pyrite have been mapped using this technique. They show high correlation with occurrences of jarosite-bearing mineral assemblages, as mapped using airborne imaging spectrometer data and supporting field verification surveys. Mapping the occurrence of iron sulfate minerals produced by the weathering and oxidation of pyrite in exposed hydrothermally altered rocks can also provide an important indicator of the genetic environment of alteration and the associated mineral deposit type. The automated analysis methodology is being employed to rapidly and cost-effectively generate maps of large regions of the United States in support of U.S. Geological Survey mineral resource and mineral-environmental assessments. This map, which includes the ERDAS IMAGINE thematic raster format in the data release, has been attributed by pixel value with mineral and vegetation group classification data, which can be queried in most image processing and GIS software packages.
Analisis Sentimen Masyarakat Terhadap Pilpres 2019 Berdasarkan Opini Dari Twitter Menggunakan Metode Naive Bayes Classifier

Twitter is a social media that is currently popular, where the public is free to comment and write anything. It is not uncommon for the public to comment with harsh words and even hate speech. The 2019 presidential election drew many comments, some praised, criticized and insulted. To be able to dig up information and classify a text, sentiment analysis is needed. In this study, sentiment analysis is a process of classifying textual documents into two classes, namely negative and positive sentiment classes. Opinion data were obtained from the Twitter social network in the form of tweets. The data used was 3337 tweets consisting of 80% training data and 20% training data. Training data is data with known sentiment. This study aims to determine whether a tweet is a positive or negative tweet conveyed on Twitter in Indonesian. The classification of tweet data uses the naïve Bayes classifier algorithm. The classification results of the test data show that the Naïve Bayes Classifier algorithm provides an accuracy value of 71%. The accuracy value for each sentiment is 71% for positive sentiment and 70% for negative sentiment
Box-To-Box Transformations for Modeling Joint Hierarchies

Learning representations of entities and relations in structured knowledge bases is an active area of research, with much emphasis placed on choosing the appropriate geometry to capture the hierarchical structures exploited in, for example, ISA or HASPART relations.Box embeddings (Vilnis et al., 2018;Li et al., 2019; Dasgupta et al., 2020), which represent concepts as n-dimensional hyperrectangles, are capable of embedding hierarchies when training on a subset of the transitive closure.In Patel et al. ( 2020), the authors demonstrate that only the transitive reduction is required and further extend box embeddings to capture joint hierarchies by augmenting the graph with new nodes.While it is possible to represent joint hierarchies with this method, the parameters for each hierarchy are decoupled, making generalization between hierarchies infeasible.In this work, we introduce a learned box-to-box transformation that respects the structure of each hierarchy.We demonstrate that this not only improves the capability of modeling cross-hierarchy compositional edges but is also capable of generalizing from a subset of the transitive reduction.
21ST CENTURY TEACHING AND LEARNING: IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEM (LMS) IN EDUCATION

The world-facing rapid growth in technology, particularly in education. In the implementation of the learning management system (LMS) in 21st century, society have proceeded against high intellectual behaviors with cybernated knowledge-based. Modern society requires the education practitioners and the learners to enhance their information communication technology within an e-learning situation where distant learning exist. A learning management system is a medium of teaching-learning for both educators and learners. It provides a bunch of avant-garde technology that support the learning process. There are advantages also disadvantages while using LMS as the core in modern language learning education. Keywords: 21st-century education and skill, e-learning, ICT, LMS.
Designing of Agricultural Product e-Marketplace by using UCD Method

The growth and era of information, communication and technology have changed and it has benefits in various sectors, one of them is the economy aspect. The current sales system has been moved from conventional sales into online sales by utilizing technology as a media for sales transactions. Then, one of them is the presence of e-commerce websites and e-marketplaces. The concept of e-marketplaces is a place where buyers and sellers meet, then they make online buying and selling transactions. However, there are still many plantations whose agricultural products have not been reached to be implemented by the marketplace. This problem is based on the cultural factors; it is called through the broker. Also, as well as the lack of education of farmers. The purpose of this study is to design the e-marketplace for farmers, especially in the Bugis Village. The user-centered method is applied where the approach is centered on users, then both consumers and partners. The website-designed is made by looking at the needs of the user side. This e-marketplaces can also be an education for businesses in the field of agricultural products. It is also to be involved in technological advancements by becoming partners in the e-marketplaces, so that they are able to market their products through online system. In addition, to minimize the use of agricultural products by broker, too. The results of this study are e-marketplace is able to provide convenient websites for users in conducting transactions by using gadgets to access agricultural products. This e-marketplaces also supports the promotion of Go Green, which has begun to implement a healthy lifestyle; by starting to consume a lot of vegetables. So, people will easily get best quality of agricultural products from farmers.
ARTIFICIAL INTELLIGENCE IN THE LEGAL PROFESSION: A TOOL FOR DEVELOPMENT OR A THREAT TO EXISTENCE?

ResearcherID: М
Recognize the Image Caption Generator Using CNN and LSTM with NumPy functions

This study describes the usage of CNN and LSTM on the caption of the graphical image. Image caption generation is a device that recognizes the relation of the image in English by comprehending natural language processing & image processing requirements. We carefully follow a range of essential principles of image captioning and its standard processes in this research article. For this paper's making, we are talking regarding the Keras library, NumPy, and Jupiter notebooks. We are still concerned about the Flickr dataset used for photo classification and CNN.Keywords- CNN; LSTM; NumPy, Keras, image captioning; Deep learning,graph images.
Human Rights, Freedoms and the Limits of Their Limitation in a Time of Pandemic

There can be no doubt that the coronavirus pandemic has had an impact on all countries and regions all over the world, as well as on all aspects of human life. In a crisis situation of such a type, not only human health is endangered, but also civil and democratic rights are restr executive or legislative power, which may restrict human rights excessively or by sures, the interference with human rights may be suppressed. Although both international law and national legal systems allow restriction of these rights to certain extent with the aim to protect public health, many regimes abuse the pandemic to obscure their systematic restrictions going beyond the frame of the current situation. The aim of the presented article is to provide a factual view of the current situation in our territory, which in our opinion is not legally and socially sustainable in the long time. We will legally substantiate our views and express them as we see fit, based on the principles of democratic establishment of our society.