Reviewerly/exHarmony huggingface dataset:
Beyond Value: CheckList for Testing Inferences in Planning-Based RL

Reinforcement learning (RL) agents are commonly evaluated via their expected value over a distribution of test scenarios. Unfortunately, this evaluation approach provides limited evidence for post-deployment generalization beyond the test distribution. In this paper, we address this limitation by extending the recent CheckList testing methodology from natural language processing to planning-based RL. Specifically, we consider testing RL agents that make decisions via online tree search using a learned transition model and value function. The key idea is to improve the assessment of future performance via a CheckList approach for exploring and assessing the agent's inferences during tree search. The approach provides the user with an interface and general query-rule mechanism for identifying potential inference flaws and validating expected inference invariances. We present a user study involving knowledgeable AI researchers using the approach to evaluate an agent trained to play a complex real-time strategy game. The results show the approach is effective in allowing users to identify previously-unknown flaws in the agent's reasoning. In addition, our analysis provides insight into how AI experts use this type of testing approach, which may help improve future instantiations.
The Effectiveness of Whatsapp as An Online English Teaching Media at MTsN Kota Pasuruan : Teachers Perspectives

The COVID-19 pandemic has made many changes in the learning process system. With technology, Whatsapp has become one of the media that is widely used. This study investigates the effectiveness, problems, and solutions of WhatsApp as a virtual English learning media. This study uses a qualitative descriptive method with questionnaires and interviews as instruments. The results of the study show that Whatsapp is an effective, useful, and helpful media in learning English for students at MTsN Pasuruan. Teachers can also apply 4 skills in English Teaching with the help of the Whatsapp features. The results of this study proved that Whatsapp might be the best solution for distance learning English media.&#x0D; &#x0D; Keywords : Whatsapp, Online Learning, English Language Teaching
Layer Separation via a Spatial-Attention GAN

Modern OCR systems are achieving excellent results on difficult, even physically degraded, documents. One persistent limitation is the inability to disentangle overlapping ink, from various sources like handwriting, stamps, watermarks, and printed ink. In this work, we develop an approach to layer separation of documents into distinct layers which contain dedicated ink for these respective components. Our work builds on recent progress in image decomposition and employs a spatial-attention bypass enabling us to overwrite and in-paint challenging overlap regions while still maintaining near perfect reconstruction for undisturbed regions of the documents. Compared to baseline approaches, our approach improves on both perceptual metrics on the layer reconstruction task and end-to-end character error rate (CER) measured on an OCR system.
Improving Isolated Glyph Classification Task for Palm Leaf Manuscripts

Digitization of ancient palm leaf manuscripts is gaining momentum due to the limited datasets and complex features of text images of palm leaf manuscripts. Thus far, the previous studies did not deeply analyze the application of the trending techniques on the palm leaf manuscripts, considering how deep learning approaches require large datasets, while some isolated glyphs contain more than one character with complex grammatical components. Therefore, this paper explores the possibilities and practical methods for improving isolated glyph classification. In particular, we focus on both the front-end and the back-end processes involved in the image classification task. For the front-end analysis, we present multi-task preprocessing techniques, including data augmentation techniques, new datasets extraction, and image enhancement techniques to increase the quality and quantity of datasets. For the back-end side, we aim to study the visual backbones of deep learning techniques, especially CNNs (including VGG, ResNet, and EfficientNet) and attention-based models (including ViT, DeiT, and CvT). Furthermore, the analysis and evaluation examined how data augmentation techniques and preprocessing interact with the amount of data used in training. Evidently, we experimented on three palm leaf manuscripts, including Balinese, Sundanese, and Khmer scripts from the ICFHR contest 2018, SluekRith, AMDI LontarSet, and Sunda datasets. Regarding the quality of research, the experiment delivers an effective way of training palm leaf datasets for the document analysis community.
Mr Two Initiatives Furthering Open Research

This poster will present two initiatives furthering Open Research&#x0D; RSpace, is an electronic lab notebook cum research data management engine that underpins an ecosystem of connected tools enabling Open Research.&#x0D; The FAIR Data Podcast, a new podcast devoted to conversations around FAIR data and Open Research.
Effikasi Diri dan Performansi Akademik: Studi Meta Analisis

This meta-analysis study aims to see how the true correlation between self-efficacy and academic performance. Publications in the literature are gathered by investigating articles related to the theme. Based on the criteria set by researcher from 15 journals which are the results of research from the period 2006 to 2020, 16 studies were found in the analysis. Journal searches are obtained through an online data base. Data analysis was performed using 2 meta-analysis techniques for artifact data, namely correction of sampling errors and correction of measurement errors. The meta-analysis was carried out with a total sample size of N = 5039. The results of the meta-analysis show that self-efficacy has a positive correlation with academic performance of 0,399.&#x0D; Keywords: meta-analysis, self-efficacy, academic performance
DEVELOPMENT OF A PROTOTYPE DATABASE OF INFORMATION TECHNOLOGY FOR MONITORING WATER CONSUMPTION FROM THE WATER SUPPLY NETWORK OF SETTLEMENTS

The availability of reliable and systematic information on water consumption modes is the basis for optimizing the operation modes of water supply facilities. The necessity of water consumption monitoring is substantiated in order to detect changes in the operation conditions of water supply system facilities due to the influence of seasonal and social factors. The daily water consumption graph was used as an indicator of the operation mode of water supply facilities. The procedure of analysis of actual water consumption graphs is the methodological basis of the proposed information technology. It involves the search for hidden regularities in the formation of water consumption and is based on the description of irregularities and the form of daily water consumption graphs. The design of the information technology prototype is performed using a unified modeling language. The functionality and behavior of information monitoring technology is described using a use case diagram. A structured database is the information basis of information technology. It contains a structured set of initial data on daily water consumption graphs, the results of the description of their irregularities and shapes, the results of the classification of daily water consumption graphs and a formalized description of the analysis results. A relational data model was used to construct the database. The developed database contains twelve tables. Relationship between tables is defined as «one to many». Implementation of monitoring on a regular basis will ensure the accumulation of new data. The integration of the developed prototype database and information technology into the information system for monitoring the functioning of the water supply system will help to identify new knowledge about the peculiarities of the formation of the water consumption mode. This will identify changes in the actual operation conditions of water supply facilities.
THE EFFECTIVENESS OF FAIRY TALES MAZE FOR TEACHING READING COMPREHENSION AT THE FIRST GRADE STUDENTS OF SMA ISLAM USWATUN HASANAH IN ACADEMIC YEAR 2018/2019

This research aimed to find out the effectiveness of fairy Tales Maze for Teaching Reading Comprehension at the first grade students of SMA Islam Uswatun Hasanah in academic year 2018/2019. The method of this research was pre-experimental research (quantitative method). The population of this research was the students of SMA Islam Uswatun Hasanah in academic year 2018/2019. The sample of the study was 28 students consist of one class. The sample technique used in this was lottery technique sampling. The technique which was used to analysis the data was t-test formula. From the research data found out that the students` t-test score is (4.875) and t-table (2.052) from (df) 27. Based on the result of the study, it can be concluded that the use of Fairy Tales Maze has positive effect in teaching reading comprehension at the first grade students of SMA Islam Uswatun Hasanah in academic year 2018.2019.
Pengembangan Media Pembelajaran Interaktif Speaking Pyramid untuk Meningkatkan Penguasaan Kosa Kata Bahasa Inggris Anak Usia 5-6 Tahun

This research aims to produce a valid and practical speaking pyramid interactive learning media so that it can attract children's attention in the learning process. The type of research used is research and development (R&amp;D) using a 4D development model, in research that only goes up to three stages, namely defining, designing and developing. The research was conducted at An-Nur Sungai Batuang Kindergarten with the type of data collection instrument using a validation sheet and a practicality sheet (teacher response questionnaire). From the research, it was found that the speaking pyramid interactive learning media was very valid with a percentage of 86.25% and very practical with a percentage of 87.5%. Thus the interactive learning media speaking pyramid is feasible and can be used by teachers in improving English vocabulary mastery for early childhood.
Teacher efficacy in the 4IR: Telling stories digitally

The 4IR has become an overarching framework within which education systems, including teacher education, are operating. Contingent upon the ideology of neo-liberalism, the 4IR seeks to transform societies in ways which respond to the relentless developments in technology, the Internet and digital capacities which, by design and intent, are purposed at increasing both productivity and the associated quality while at the same time reducing human intervention in the same processes. In teacher education, how we teach and train student teachers will be substantially influenced by the imperatives of the 4IR. There are multiple unresolved questions as the 4IR takes centre stage. For example, what will it mean for teaching and learning in schools that have severe technological and digital deficits; for teachers and students who have minimal technological literacies; for delivering high-quality teaching and learning; for transforming both the content and pedagogies of teacher education and, above all, for delivering socially just educational experiences for all our learners, regardless of class, race, and privilege. The discourse of the 4IR is contemporary and requires multiple perspectives to explore what it means in different contexts and settings, the understandings it engenders in people, what it implies across a wide range of educational decision-making levels, and that its fundamental assumptions cohere with national and societal assumptions about equality, equity and social justice. Multiple methodological approaches were utilised in the interrogation of the idea of the 4IR in teacher education in South Africa, including theoretical, empirical, and small-scale case studies, amongst others. The data these approaches provide are equally valued based on the purposes for which they have been derived.
CIRCUIT ELEMENTS PROPAGATION DELAY DETECTION BY MAXIMUM FLOW

CIRCUIT ELEMENTS PROPAGATION DELAY DETECTION BY MAXIMUM FLOW Narek Asatryan Masters Student, National Polytechnic University of Armenia, Armenia, Yerevan &nbsp; ABSTRACT Maximum flow detection is one of the many solutions for appl
Chip integrated photonics for ion based quantum computing

Ion traps are a promising platform for the realisation of high-performance quantum computers. To enable the future scalability of these systems, integrated photonic solutions for guiding and manipulating the laser light at chip level are a major step. Such passive optical components offer the great advantage of providing beam radii in the μm range at the location of the ions without increasing the number of bulk optics. Different wavelengths, from UV to NIR, as well as laser beam properties, such as angle or polarisation, are required for different cooling and readout processes of ions. We present simulation results for different optical photonic components, such as grating outcouplers or waveguide splitters and their applications on ion trap chips. Furthermore, we will introduce the experimental setup for the optical characterisation of the fabricated structures.
Development of Interactive Media-Based Learning Models for Improving Learning OutcomesEnglish in Class X North Labuhanbatu Man

This study aims to: (1) produce a learning model that is feasible to use, easy to learn and can be used for learning (2) to determine the effectiveness of interactive mediabased learning models.This type of research is a development research that uses the Borg and Gall product development model and integrated with the Dick and Carey learning design model.This research was conducted on class X students of MAN Labuhanbatu Utara.The method used in this model is the Quasi Experimental method.The research sample was 72 students consisting of 36 students as an experimental class who were taught using the "AMUSE" learning is based on interactive media and 36 students as a control class are taught using the Inquiry learning model.The results of the hypothesis test research prove that there is a significant difference between students' English learning outcomes who are taught using the learning model."AMUSE" is based on interactive media with the results of learning English taught using the Inquiry learning model.This is indicated by the acquisition of data that is the significance value obtained is 0.0 06.Significance value (sig)<0.05 then H0 isrejected and Ha isaccepted .So it can be concluded that the "AMUSE" learning model based on Interactive Media is better than the Inquiry learning model .
Research on Tibetan-Chinese Cross-language Semantic Retrieval Based on Word2Vec

With the increasing of multilingual information on the Internet, it is difficult for people to effectively interpret relevant resources when acquiring information. How to obtain the multilingual information resources needed by users from large-scale information has become an urgent matter, so cross-language semantic retrieval has become an important research direction of information processing technology. In order to solve the performance problems in cross-language semantic retrieval, this paper proposes a method of Tibetan-Chinese cross-language semantic retrieval based on Word2Vec. First, use the word vector to construct the Chinese semantic feature vector of the event keyword, then calculate the feature translation vector of the Tibetan event keyword, and finally complete the cross-language keyword alignment by calculating the similarity between the semantic feature vectors, thereby realizing the key to query automatic translation of words to complete cross-language semantic retrieval. Experiments were conducted on the constructed corpus and the effectiveness of the method was proved.
Research on Innovation Capability Cultivation Oriented Design-Based Learning: Model and Case of Junior High School Information Technology Curriculum

The cultivation of innovative talents is an important development strategy in China. Especially in the stage of basic education, there is an urgent need for specific instructional strategies for cultivating innovative capability. Based on the theories of "Hands-On Inquiry learning" and Constructionism and teaching practice, this study put forward an innovation capability cultivation oriented design-based learning model in junior high school information technology curriculum. The model has three characteristics: simple teaching links, reverse teaching design and equal teacher-student relationship. It is hoped to provide guidance on teaching operation level for frontline information technology classroom teaching, or for other disciplines’, and to provide a reference for international scholars to do the research about constructing instructional models for skill cultivation in the 21st century.
Video Development of Learning to Write Short Text for Class XI Students of Tahfizd Asy Syadzili Pakis Malang

Research on the development of learning videos on short story writing material for class XI SMA Tahfizd Asy Syadzili Pakis Malang, researchers used six data collection instruments, and data collection techniques with interviews and distributing questionnaires to students.The results obtained based on teacher interview assessments were 3.67%.And categorized as good and very worthy without comments from experts.Based on the student needs analysis table data, the average score of all aspects is 3.67% or good category.It can be concluded from the data that there is a need for students to get answers according to what is expected and the needs of students.So it can be said that this short story learning video is said to be very feasible to be applied in schools.
CNsum: Automatic Summarization for Chinese News Text

Obtaining valuable information from massive data efficiently has become our research goal in the era of Big Data. Text summarization technology has been continuously developed to meet this demand. Recent work has also shown that transformer-based pre-trained language models have achieved great success on various tasks in NLP. Aiming at the problem of Chinese news text summary generation and the application of Transformer structure on Chinese texts, this paper proposes a Chinese news headline generation model CNsum based on Transformer structure, and tests it on Chinese datasets such as THUCNews. The results of the conducted experiments show that CNsum achieves better ROUGE, BLEU and BERTScore scores than the baseline models, which verifies the outperformance of the model.
Detecting malware using text documents extracted from spam email through machine learning

Spam has become an effective way for cybercriminals to spread malware. Although cybersecurity agencies and companies develop products and organise courses for people to detect malicious spam email patterns, spam attacks are not totally avoided yet. In this work, we present and make publicly available "Spam Email Malware Detection - 600" (SEMD-600), a new dataset, based on Bruce Guenter's, for malware detection in spam using only the text of the email. We also introduce a pipeline for malware detection based on traditional Natural Language Processing (NLP) techniques. Using SEMD-600, we compare the text representation techniques Bag of Words and Term Frequency-Inverse Document Frequency (TF-IDF), in combination with three different supervised classifiers: Support Vector Machine, Naive Bayes and Logistic Regression, to detect malware in plain text documents. We found that combining TF-IDF with Logistic Regression achieved the best performance, with a macro F1 score of 0.763.
Graph Edit Distance Compacted Search Tree

We propose two methods to compact the used search tree during the graph edit distance (GED) computation. The first maps the node information and encodes the different edit operations by numbers and the needed remaining vertices and edges by BitSets. The second represents the tree succinctly by bit-vectors. The proposed methods require 24 to 250 times less memory than traditional versions without negatively influencing the running time.
DEFENSORIA PÚBLICA E A ADEQUAÇÃO DAS PESSOAS HIPOSSUFICIENTES NO USO DAS TECNOLOGIAS NOS PROCESSOS JUDICIAIS CÍVEIS EM TEMPOS DE PANDEMIA DA COVID-19 – PEDRO II

The present article entitled (In)Constitutionality Of The Circumstantiated Confession: Signed in the Criminal Procedure Code with the advent of the well-known "Anti-Crime Package ", the Criminal Non-Persecution Agreement brought several discussions about of the mandatory requirements for its concession.Despite having added to Brazilian legal system benefits related to criminal business justice, there is still such a significant dispute regarding one of its main requirements of art.28-A, the constitutional analysis of the detailed confession as a requirement mandatory required by current legislation, contrasting with principles and guarantees fundamental provisions of our Federal Constitution.To that end, this article aims to clarify and analyze the addictions possibility related to the confession detailed in the non-prosecution agreement based on the premise constitutional law, using bibliographic and jurisprudential research.it is postulated that, through the analyzed procedures, a discussion has been reached quite controversial about the constitutionality, and one should stick to primarily those that do not cause legal uncertainty to the Brazilian legal system.
ADAPTAÇÃO DA SALA DE AULA INVERTIDA NO ENSINO A DISTÂNCIA DEVIDO A PANDEMIA DO COVID 19

At the beginning of 2020, Brazilian universities interrupted face-to-face classes due to the Covid 19 pandemic.During this period, due to existing technologies such as communication networks, smartphones, personal computers, etc., several universities chose to carry out their activities at a distance.However, many on-site courses did not have distance activities incorporated, forcing them to change the paradigm.These courses should, in an emergency, be adapted to the reality of the pandemic, that is, the need for isolation and distance work, so that there is no further damage to student teaching and learning and the training of specialized human resources.In this new context, the adaptation of active learning methods seems to be the most indicated, especially the methods that deal with pre-class activities such as the Flipped Classroom methodology.The Flipped Classroom allows competences developed through knowledge, skills, and attitudes to be employed using available technologies.This work aims to present and evaluate the use of the SAI methodology adapted to the ENPE (Emergency Non-Present Teaching) applied in the disciplines of the undergraduate courses in Computer Engineering and Computer Science at the Federal University of São Carlos (UFSCar) campus São Carlos.The Flipped Classroom adaptation in the evaluated courses is carried out according to the conditions of students' access to the technologies, the tools used by the Flipped Classroom and the student's performance in the courses.The evaluation was carried out through a form/questionnaire presented to the students at the end of each course and the results were encouraging in relation to the future perspectives of using the SAI in the return of face-toface teaching.