Reviewerly/exHarmony huggingface dataset:
Interactive Illustrations on HTML5 Canvas

In the first assignment of a class entitled “Creative Coding”, students are asked to convert a pre-existing 2D illustration into an interactive digital interpretation, as an introduction to the general elements of coding and computer graphics in 2D environments. The majority of students taking this class have never coded in their lives, turning this assignment into an ideal introduction to principles of computer programming. Javascript, a very accessible and forgiving scripting language, is used to study the visual properties of real time graphic development on the HTML5 Canvas Object on any capable browser. Using a basic coding shell and any text editor, students learn about variables, coordinates, elemental shapes, quadratic and Bézier curves, RGB color definitions, linear and radial gradients, random elements, etc., in a new approach to drawing through code, that questions and challenges traditional analog illustration paradigms.
How Does Institutional Change of Democratization Affect the Origin and Diffusion of Technological Innovation Across Countries

The main aim of this study is to explain how institutional change, based on processes of democratization, governs the origin and diffusion of technological innovation across economies. This study suggests that institutional change, based on a progressive democratization of countries, is a driving force of inventions and adoption of usable innovations in society. Policy makers, considering the positive associations between institutional change, based on a process of democratization, and paths of technological innovation, can propose best practices directed to support a higher economic freedom in society, effective regulation, higher economic and political stability, good economic governance and higher level of education system. Overall, then, institutional change, based on democratization, is a precondition for sustaining fruitful paths of technological innovation to govern the development of economies in the presence of globalization and geographical expansion in world economic system.
Plurale o singolare? Disomogeneità linguistica di numero nei manuali di matematica della scuola primaria e secondaria di primo grado italiani

Starting from the corpus of the project Italmatica. Comprendere la matematica a scuola, fra lingua comune e linguaggio specialistico, the present contribution proposes an analysis of the expression of the gram­matical category of number within specific statements of geometry: the definitions of the elements of the polygon. The analysis is based on the combination of research in linguistics and mathematics education. In particular, examples taken from the corpus are examined with the aim of analyzing the homogeneity or discrepancy in number and the linguistic strategies that convey it. The results show how a widespread linguistic discrepancy in the category of number corresponds to a significant lack of adherence to mathematical contents, which may negatively affect students' understanding.
Structured Intelligence – What Does It Even Mean?

So what is structured data? At its most simple, structured data is where you have things within your collection that you can quantify or qualify for indexing, making it significantly easier to search through, sort, and eliminate erroneous or false positive information. Depending of course on what you're looking for or what you're trying to identify.
Model Of Cyber Crime Investigation In Thailand: Fraudulent Cases

This research aimed to study problems of cybercrime investigation of law enforcement officers in order to suggest model management of cybercrime investigation in fraudulent cases. This research was qualitative research by conducting in-depth interviews with 30 key informants. Research instruments were in-depth interviews and data analysis by content analysis. The research revealed that problems of cybercrime investigation were caused by law enforcement agencies and officers. The agencies that were in charge of suppression of cybercrime lacked forces, technologies, and maintenances and had no preparedness when compared to workloads. Besides, there were problems of distributing duties within the agency and also a lack of cooperation from technology service providers. The model management of cybercrime investigation in fraudulent cases comprised inquiring and explaining information before receiving a report, investigating officers gathering information, inquiring of victims about information supporting the investigation, recovering social media account, identifying criminals, and gathering acquired information to submit a request for information from service providers.
Improving hierarchical product classification using domain-specific language modelling

In order to deliver a coherent user experience, product aggregators such as market places or price portals integrate product offers from many web shops into a single product categorization hierarchy. Recently, transformer models have shown remarkable performance on various NLP tasks. These models are pre-trained on huge cross-domain text corpora using self-supervised learning and fine-tuned afterwards for specific downstream tasks. Research from other application domains indicates that additional selfsupervised pre-training using domain-specific text corpora can further increase downstream performance without requiring additional task-specific training data. In this paper, we first show that transformers outperform a more traditional fastText-based classification technique on the task of assigning product offers from different web shops into a product hierarchy. Afterwards, we investigate whether it is possible to improve the performance of the transformer models by performing additional self-supervised pretraining using different corpora of product offers, which were extracted from the Common Crawl. Our experiments show that by using large numbers of related product offers for masked language modelling, it is possible to increase the performance of the transformer models by 1.22% in wF1 and 1.36% in hF1 reaching a performance of nearly 89% wF1.
A Study on the Status of Multilingual Support for Disaster Safety Information in Korea and Japan

In this thesis, the current status of multilingual emergency disaster information in Korea and Japan is examined for ways that foreigners residing in Korea can more accurately understand ‘emergency disaster information’ in a situation of disaster that needs to be responded to urgently. In the case of Korea, the scope of multilingual support services and information delivery media has been expanded based on the multilingual support measures established and implemented at the Government level so far, and there have been tangible results ranging from local governments and private sector activities. However, the type and degree of services provided differ by each institution and local government, and the focus was mainly on marriage immigrants and foreign workers. Therefore, international students, foreign nationals, refugees, seasonal workers who are short􋹲term residents, tourists, etc. still can’t get information in case of a disaster. So, the problem of blind spots needs to be solved. In contrast, in the case of Japan, they are preparing a plan to provide the disaster safety information in a timely manner to protect them, not only for foreign migrants and workers, but also for all foreign residents including international students and tourists. For the purpose, a system that can effectively deliver information to foreigners is being established by utilizing “Foreigner support information coordinator in the event of a disaster” and establishing a “Disaster Multilingual Support Center.” In the future, with reference to Japan's disaster information provision policy, etc., it seems that measures should be prepared to protect them by expanding the scope of policy targets, so that any foreigner residing in Korea, regardless of the purpose of their stay or institution, can obtain the disaster safety information without being alienated. In addition, the establishment of a multilingual service support institution should be promoted to integrate and systematize multilingual disaster safety information produced and distributed separately through a conservative approach in each case of a major disaster so far.
Hubungan Usia Anak Penderita Thalasemia Dengan Frekuensi Transfusi

Introduction Thalassemia is a genetic disease that is detected when someone is still a child. as an effect of this disease the child can not be separated from the treatment of blood transfusion. Treatment of transfusion in patients with thalassemia is the only way to prevent death in children. Thalassemia children visit to do blood transfusion to the hospital an average of 2 to 3 times within a month. Thalassemia patients must undergo regular and routine blood transfusions to maintain their health and stamina, so that patients can still be active. Transfusion will provide new energy to the patient because the blood from the transfusion has a normal hemoglobin level able to meet the needs of the patient's body to live everyday life. The purpose of this study was to determine the relationship between the age of children with thalassemia with frequency of transfusion. This type of research is cross sectional. Cross sectional research is research that aims to study the relationship between factors and the effects it causes. The sample used in this study was 30 samples. The sampling technique uses accidental sampling. The research instrument used was a questionnaire sheet. The questionnaire in this study is a questionnaire made by the researcher based on operational definitions, therefore the researcher first tests the validity and reliability before the research. The research results obtained from the analysis of the relationship test results (p-value = 0.036). This p-value is smaller than the established α value of 0.05 (5%). So that Ho is rejected, the conclusion is that there is a significant relationship between the age of the child with thalassemia patients. Based on this study it was found that there is a relationship between the age of the child with the frequency of transfusion.
Pembelajaran Jarak Jauh dengan Metode Online-learning Merupakan Solusi Bukan Alternatif

In early 2020, WHO declared the world was in a global emergency due to the Covid-19 Pandemic. Many of the impacts caused by Covid-19 are felt in the health,economy , tourism, and even education. However, the implementation of education around the world has undergone drastic changes. The transition from face-to-face learning has turned into distance learning using online-learning to prevent the spread of the Covid-19 Pandemic. The method used in this research is a qualitative method with literature studies from electronic media such as journals and e-books. Education is not always about students coming to school to study. However, teaching can also be done by using online-learning methods. With the online-learning method, teachers and students should access education more efficiently. The media used during online-learning were 63.4% used the internet/online in learning activities. At the same time, 30.6%, used non-electronic media due to several factors . We cannot fight technology and information. Therefore we should take advantage of the rapidly developing developments in technology and knowledge to improve the quality of education. The time has come for online-learning to be no longer an alternative but a solution for the first steps of education in the future.
Empowering early career researchers (ECRs) with ReproducibiliTea journal clubs

Jade Pickering's presentation, titled Empowering early career researchers (ECRs) with ReproducibiliTea journal clubs, from the University of Manchester Library's Open Research Exchange event.
Graph Search Based High-Speed Vehicle Trajectory Generation with Adaptive Node Sampling Based on Patterns for Obstacle Avoidance

This paper proposes a high-speed vehicle trajectory generation algorithm based on graph search. The algorithm utilizes driving patterns for obstacle avoidance to limit nodes of the graph without sacrificing obstacle avoidance performance. Experiments were conducted in simulation and the results showed that the proposed algorithm could generate trajectories for driving 15 seconds ahead in average computation time 0.037 second while the rate of avoided obstacles was 100%.
An Incremental Model Projection Applied to Streamline Software Architecture Assessment and Monitoring

Managing software architecture represents a big challenge throughout the development lifecycle. The complexity of the involved structural elements and the relations among them make the specified models look oversized and fuzzy, which makes the architecture incomprehensible, hard to maintain, and difficult to assess its quality. This paper's goal is to propose a powerful methodology for simplifying and reducing models' complexity to increase understandability, smoothing maintenance, and facilitating architecture monitoring and assessment. For this purpose, the authors rely heavily on two major concepts, multi-view modeling, and incremental model projection. The multi-viewing requires that all models must have two main views to describe the architecture and the mapping to its relevant quality attributes. The incremental projection is a methodology used to specialize and minimize models progressively to make them simpler and clearer. The results show that projecting models incrementally can reduce and narrow them significantly.
서울시 산업인터넷 육성방안

The Internet of Things (IoT) is an intensively discussed topic in industry, government and academia. The industrial application of IoT are Industrial Internet of Things (IIoT) also called Industry 4.0, offers a significant innovation potential for entire industries. IIoT is a new industrial ecosystem that combines intelligent and autonomous machines, advanced predictive analytics, and machine-human collaboration to improve productivity, efficiency and reliability. Both IoT and IIoT have technical challenges, but the risks and complexities for autonomous industrial applications are inherently higher. Accordingly, Seoul Metropolitan Government (SMG), which recognizes the importance of the IoT, strive to foster the Internet of Things industry. But despite the importance and growth potential of IIoT, interest in IIoT is relatively low. The purpose of this study is to present policies for promotion that can ensure the substantial leap of Seoul’s IIoT industry and market. Considering the results of this study, SMG should contemplate the following policy directions. First, it is necessary to develop a policy with the commercialization of the actors participating in new IIoT product/service development in mind. Second, consider creating value between and within industries through the IIoT. Third, consider redefining roles and values of process, data etc. Fourth, it is necessary to consider support policies for the entire life cycle of commercialization from the business selection to the final after sales service.
Analytical Study Of Indian Society In Relevance To Value Based Education

A person without values is like a body without heart; hence, acquiring true values are became the need of today’s world. Value education supports individuals in taking the right decision, experiencing truth, and working in the right direction to attain socio-economic balance. Development and acquisition of values start from family through parents, teachers, schools, colleges, universities, and society. Especially in India, value-based education becomes the need as values vanish from the community. Hence, need is generated to inoculate values in individual again to attain social well-being. In the present research, the researcher has performed a descriptive study to understand the importance and need of value education in Indian society. During the investigation, the researcher found that several moral values are very much essential while living life. Scholars have also concluded that the acquisition of good values is necessary to solve day-to-day problems and receive a respectful place in society.
Hullingversus Clustering - Two Complementary Applications of Non-Negative Matrix Factorization

In this paper we make a comparison of two NMF based techniques of dataset characterization: clustering and hulling. The characteristics of a dataset should be understood as describing the content of a data set through several characteristic representatives. Hulling (defined later) characterizes the data by saying that the data points are somewhere between the representatives, while clustering characterizes the data by saying that the data points are close to one or the other representative. The precision of such a characteristic will be measured as a deviation from the idea of characterization, i.e. the distance of the actual data points from the closest representatives in the case of clustering and from the interior of the hull spanned by the representatives. We show that for low-dimensional data the hull-based characterization precision is much better than in case of clustering. Clustering and hulling are two examples of sophisticated optimization problems. Evolutionary algorithms are an excellent tool for solving such problems. However, in the case of large, high-dimensional data sets, their usefulness decreases. In this paper, we discuss heuristics for hulling for massive data. We hope that it will inspire the creation of an effective evolutionary algorithm dedicated to solving such problems.
Meta Analysis for Google Translate Related Studies on Error Analysis in Malaysia

Google Translate is a popular machine translation that is easy and free to use. As popular as it is, Google Translate still makes mistakes and researchers perform error analysis in order to observe the error being made by Google Translate. This meta-analysis was conducted to explore previous studies on error analysis being don on Google Translate in Malaysia between 2015-2020. Although there are many studies on perception of Google Translate in Malaysia, there are only few studies on error analysis on Google Translate in Malaysia. The analysis conducted found five studies that fit the descriptions. This study focused on four categories which is types of methodology, types of corpus, types of respondents, and main findings. The findings from this study is hope to help Google Translate user to be aware of the errors made by Google Translate.
On Approximate Solution of Certain Equations

In this paper, we consider problems of discrete approximation of special integral operators with the Calderon–Zygmund kernel. We introduce discrete spaces and bounded discrete operators acting in these spaces; then we use these operators for the search for approximate solutions of the corresponding equations. We state theorems on the solvability of equations with discrete operators, compare integral operators with their discrete analogs, and obtain estimates of errors of approximate solutions.
A framework for interactive, autonomous and semantic dialogue generation in games

Immersive virtual environments provide users with the opportunity to escape from the real world, but scripted dialogues can disrupt the presence within the world the user is trying to escape within. Both Non-Playable Character (NPC) to Player and NPC to NPC dialogue can be non-natural and the reliance on responding with pre-defined dialogue does not always meet the players emotional expectations or provide responses appropriate to the given context or world states. This paper investigates the application of Artificial Intelligence (AI) and Natural Language Processing to generate dynamic human-like responses within a themed virtual world. Each thematic has been analysed against human-generated responses for the same seed and demonstrates invariance of rating across a range of model sizes, but shows an effect of theme and the size of the corpus used for fine-tuning the context for the game world.
Common self-polar triangle of separate circles for light field camera calibration

Due to the trade-off between spatial resolution and angular resolution of the light field, it is difficult to extract high precision corner points and line features from light fields for calibration. A novel calibration pattern of separate circles is designed, and a light field camera calibration method based on common self-polar triangle with respect to separate circles is proposed in this paper. First, we explore the uniquity and reconstruction of common self-polar triangle with respect to sperate circles. Then, based on projections of the multi-projection-center model on the plane and conic, the common self-polar triangle on the sub-aperture image is reconstructed and used to estimate planar homography. Finally, a light field camera calibration algorithm is then proposed, including linear initialization and non-linear optimization. Experimental results on both synthetic and real data have verified the effectiveness and robustness of the method and algorithm proposed.
WORKSHOP PENGELOLAAN PEMBELAJARAN JARAK JAUH (PJJ) BERBASIS LEARNING MANAGEMENT SYSTEM (LMS) BAGI GURU SMKN 1 JETIS MOJOKERTO

The Covid-19 epidemic has triggered technological upheavals that are occurring rapidly in all areas of life, including the world of education. Technology is an alternative that can be used extensively by teachers in the teaching and learning process. The limited knowledge of technology of teachers in schools is a serious problem and a solution must be provided immediately in order to create an interesting, effective and innovative learning atmosphere so that the pupils can still fully understand the material even if it is done. virtually. The Mathematics Education Curriculum is conducting a Community Service Program (PPM) with SMKN target partner 1 Jetis Mojokerto. The majority of teachers in the school have limited knowledge of Distance Learning Management (PJJ) based on the Learning Management System (LMS) during the COVID-19 pandemic. The learning process emphasizes the use of Whatsapp media and only a small number of teachers use LMS with very simple content presentation. Thus, the PPM program is carried out with the aim of helping teachers to manage distance learning (PJJ) based on the learning management system (LMS) of Google Classroom. The PPM program has three stages, namely the planning stage, the socialization stage and the implementation stage. Teachers are very enthusiastic in the online workshop activities and show positive results after participating in activities based on the results of filling in online questionnaires, the majority of whom think the material presented is very useful and the activities offline workshops can be conducted continuously.