Reviewerly/exHarmony huggingface dataset:
Linking Innovation to Firm Performance in Developing Countries: the Role of Trade Liberalization

This study set out to analyze the effect of innovation on firm performance in developing economies in the era of trade liberalization. The study uses data from the enterprise survey of the World Bank covering 19 Sub Saharan African countries surveyed between 2014 and 2016, with a total of 8,551 firms included. In order to effectively analyze the effect of innovation on firm performance, the CDM model is adopted to analyze R&amp;D intensity, the effect of domestic R&amp;D on innovation output, and the contribution of innovation to firm performance in the sub region. The study further tests for the effect of foreign technology and the import of products and services on the innovation process. Analysis is done using ordinary least squares. Findings suggest a positive and significant effect of foreign technology on domestic R&amp;D, while imports have a negative effect on domestic R&amp;D. Domestic R&amp;D has positive effect on both product and process innovations among firms in the sub region. Moreover, both product and process innovations have a positive and significant effect on firm performance in the sub region. Meanwhile, the export of innovations is not found to be significant in this study. We therefore recommend that governments in the region should give tax incentives to organizations that import products that are meant specifically for the production of new products and processes. Firms in the sub region should also focus on narrow market segments where they have specialist expertise in, so as to be competitive in the global market.
Tensors over Semirings for Latent-Variable Weighted Logic Programs

Semiring parsing (Goodman, 1999) is an elegant framework for describing parsers by using semiring weighted logic programs.In this paper we present a generalization of this concept: latent-variable semiring parsing.With our framework, any semiring weighted logic program can be latentified by transforming weights from scalar values of a semiring to rank-n arrays, or tensors, of semiring values, allowing the modeling of latent variables within the semiring parsing framework.Semiring is too strong a notion when dealing with tensors, and we have to resort to a weaker structure: a partial semiring. 1We prove that this generalization preserves all the desired properties of the original semiring framework while strictly increasing its expressiveness.
Penerapan Aplikasi Pendukung Touring pada Komunitas Motor Berbasis Android

Google map is a road guide application to facilitate people getting some alternative routes to get a certain location, unfortunately. Google has no features to support touring facilities. Touring usually carried out by motor or car communities and followed by more than one vehicle. While touring sometimes, the members left behind or lost without knowing by the Road Captain. This is one of the obstacles to get the destination on time, because of the road captain is late knowing the members who lost and left behind. The purpose of this research is to create a touring application, which has a notification feature. The notification will light up when a member moves away from the Road Captain with a certain calculation radius. Members who lost can identify quickly so that the touring activities can run smoothly. This application has been tested by one of the motorcycle communities in Pekanbaru. After carrying out a trial, it proved that this application is very helpful for their touring trips. This application can run on Android operating system 5 and above. Therefore, it can be concluded that this touring application can be used, and it is feasible for traveling trips to various regions by motorcycle or car community
Modelling a Conversational Agent with Complex Emotional Intelligence

Chatbots or conversational agents have enjoyed great popularity in recent years. They surprisingly perform sensitive tasks in modern societies. However, despite the fact that they offer help, support, and fellowship, there is a task that is not yet mastered: dealing with complex emotions and simulating human sensations. This research aims to design an architecture for an emotional conversation agent for long-text conversations (multi-turns). This agent is intended to work in areas where the analysis of users feelings plays a leading role. This work refers to natural language understanding and response generation.
LatRec: Recognizing Goals in Latent Space (Student Abstract)

Recent approaches to goal recognition have progressively relaxed the requirements about the amount of domain knowledge and available observations, yielding accurate and efficient algorithms. These approaches, however, assume that there is a domain expert capable of building complete and correct domain knowledge to successfully recognize an agent's goal. This is too strong for most real-world applications. We overcome these limitations by combining goal recognition techniques from automated planning, and deep autoencoders to carry out unsupervised learning to generate domain theories from data streams and use the resulting domain theories to deal with incomplete and noisy observations. Moving forward, we aim to develop a new data-driven goal recognition technique that infers the domain model using the same set of observations used in recognition itself.
MAPF Scenario: Software for Evaluating MAPF Plans on Real Robots

Multi-Agent Path Finding (MAPF) deals with finding collision free paths for a set of agents (robots) moving on a graph. The interest in MAPF in the research community started to increase recently partly due to practical applications in areas such as warehousing and computer games. However, the academic community focuses mostly on solving the abstract version of the problem (moving of agents on the graph) with only a few results on real robots. The presented software MAPF Scenario provides a tool for specifying MAPF problems on grid maps, solving the problems using various abstractions (for example, assuming rotation actions or not), simulating execution of plans, and translating the abstract plans to control programs for small robots Ozobots. The tool is intended as a research platform for evaluating abstract MAPF plans on real robots and as an educational and demonstration tool bridging the areas of artificial intelligence and robotics.
Improving the Students' English Skills through Online Activities in Moodle Platform

This research was aimed to determine the effectiveness of online instructional material model for EFS courses developed through Moodle for Secretarial Academy (ASTRI) of Budi Luhur students when compared to the existing EFS instructional material. This qualitative research conducted in the second semester of 2007/2008 academic year. Meanwhile the data sources used in this study were respondents consisting of 48 ASTRI Budi Luhur students as well as documents consisting of observation guidelines and post test results. The students were divided into 2 classes, namely BA and BB classes. BA class is treated as an experimental class while BB class is treated as a control class. This experiment was carried out for 7 times fully online learning with synchronous learning method. In analyzing the data collected, the researchers used T-Test to find out the effectiveness of EFS instructional material through Moodle. Based on the results of the post test conducted, EFS instructional material through Moodle had been proven to be able to improve four english skills which include listening, reading, speaking and writing to the students of ASTRI Budi Luhur Jakarta.
Geochemical characterization of FE-1 well, Onshore Western Niger Delta Basin, Nigeria

Major oxides and trace elements analysis was carried out on ditch cutting samples of FE-1 well, Onshore, Niger Delta Basin, to define their oxygen condition, paleo-climatic conditions, provenance, tectonic setting, sandstone classification and maturity of the sediments. Sedimentological analysis revealed five main lithofacies comprising of sandstone, shaly sand, mudstone, sandy clay and sandy shale. Geochemical results indicates that the average value of silica (87.1 wt. %) is far higher than the average values of the rest oxides which shows the duration and intensity of weathering and destruction of other minerals during transportation. Bivariate plot of La/Sc versus Th/Co, Zr versus TiO2, and trace elemental ratios of Th/Sc, Th/Co, Th/Cr, Cr/Th, La/Sc establishes that the source of the sediment are from felsic rock. Different chemical classification schemes characterized the sediments as quartzarenite, lithic arenites and Fe-rich sand. The plot of Log (K2O/Na2O) versus Log (SiO2/Al2O3) and K2O/Na2O versus SiO2 all plotted mainly in the passive margin zone. The low average value of uranium content, trace elemental ratios of U/Th, Ni/Co, Cu/Zn, V/Cr and binary plot of Ni/Co versus V/Cr indicated an oxic environment of deposition. However, the binary plot of Ni/Co versus V/ (V+Ni) indicates oxic to anoxic condition during deposition of the mixed marine and terrigenous source input sediment. Binary plot of SiO2 versus (Al2O3+Na2O+K2O) designates deposition mainly in humid/semi-humid climatic condition. The samples studied have a much higher SiO2/Al2O3 ratio with low Fe2O3/K2O ratio, thus, they are mineralogically mature. The Al2O3/(CaO+MgO+Na2O+K2O) ratio inferred that there are stable mobile oxides in the samples. &#x0D; Keywords: Major oxides, lithic arenites, provenance, tectonic setting.&#x0D;
Analisis kesalahan penggunaan tanda baca dan huruf miring dalam teks berita online detiknews dan tribunnews

This study aims to (1) describe the form of language errors in terms of the use of punctuation and italics contained in the online news text detik news and news stands, (2) Explain the form of language errors in terms of the use of punctuation and dominant italics appear in online news text seconds news and news stands. This research uses descriptive research with a qualitative approach. The data in this research are sentences containing language errors in punctuation in online news text detik news and news stands. Data collection techniques used are reading and note-taking techniques. reading techniques, namely by reading repeatedly the contents contained in the online news column. Next, note-taking techniques are used to write down problems in reading. The note taking technique used is to write down words or sentences which are forms of spelling mistakes in the language. After being analyzed and described based on the form of errors in the spelling fields which include punctuation and italics, then it is concluded from the improvement of the sentence. The results showed that the analysis of spelling errors in the form of punctuation and italics contained 11 errors from two online news detiknews and tribunnews.
Analysis of Situational Awareness for Online Taxibike Driver in Yogyakarta Using QUASA Analysis

Online taxibike servicehas its own charm because it is a new breakthrough for current conditions that make it easy for consumers to order a vehicle. Riding a motorcycle is an activity that requires awareness against road conditions that are dynamic and can change in seconds. This study aims to determine the level of awareness of online taxibikedriver when using a GPS and non GPS. The method used in this research is the QUASA method which combines the probing method in the situational awareness process with the self rating method. The results of data processing obtained that the value of actual accuracy and perceived accuracy when online taxibikedriver uses a GPS is greater than non GPS. In addition, other results stated that the level of awareness of online taxibikedriver when using a GPS was 4.7% greater than when without non GPS.
Beyond spatial reasoning: Challenges for ecological problem solving

This vision piece reflects upon virtues of early computer science due to scarcity and high cost of computational resources.It critically assesses divergences between realworld problems and their computational counterparts in commonsense problem solving.The paper points out the different objectives of commonsense versus scientific approaches to problem solving.It describes how natural cognitive systems exploit space and time without explicitly representing their properties and why purely computational approaches are less efficient than their natural role models, as they depend on explicit representations.We argue for investigating spatio-temporally integrated methods to spatial problem solving.We contrast these methods to sequential computational approaches that require digital twins of the environment and cannot make direct use of simultaneous spatio-temporal interactions.The paper concludes with predicting future developments in problem solving, praising the relative merits of different routes to be taken.It advocates the translation of fundamental cognitive principles into technical robotic solutions.
WEBINAR AS AN INTERACTIVE NETWORK TRAINING LESSON (ON THE EXAMPLE OF THE DISCIPLINE “SPECIALIZATION: INTERNET, TELEVISION”)

The specifics of the educational process in the conditions of distance studying, the specifics of the use of tools, and services that will help to create quality educational content are considered. Emphasis is placed on the autonomy of choice of methods, tools, platforms, interactive technologies for the implementation of a full-fledged educational process and analyzes the possibilities of their use in Ternopil National Pedagogical University named after Volodymyr Hnatyuk. The choice of presentation of individual educational and research tasks in the discipline "Specialization: Internet, Television" of students majoring in "Journalism" in the form of webinars is substantiated. Scientific approaches to understanding the concept of "webinar" are presented. The basic rules of preparation and holding of the webinar are defined. The focus is on the technical features of webinars. Types of webinars are considered: educational webinar, information webinar, webinar-training, consulting webinar (webinar-support), consulting webinar (webinar-support). The activity of participants in the educational process in the online environment is divided into two groups: asynchronous and synchronous. Peculiarities of conducting the author's webinars by fourth-year students of the Department of Journalism of TNPU are determined. The topics of INDZ, the content of reports, features of creation of presentations, and the used technical programs are characterized, the positive and negative parties in carrying out and the organization of webinars by each speaker are allocated. The importance of interactivity between participants of the online lesson is noted. The focus is on the advice and recommendations of higher education students on the use of such forms of education in the educational process. It is stated that in the process of learning with the use of distance technologies the center of gravity moves from the teacher to the student. The role of the teacher as a facilitator who provides support to students helps to solve methodological and methodological problems is outlined. It is determined that learning with the use of distance technologies opens students access to non-traditional sources of information, increases the efficiency of independent work, provides new opportunities for creativity, consolidation of professional skills. Emphasis is placed on the implementation of new forms and methods of teaching to ensure active interaction between participants in the educational process
Image-Based Rendering for Large-Scale Outdoor Scenes With Fusion of Monocular and Multi-View Stereo Depth

Image-based rendering (IBR) attempts to synthesize novel views using a set of observed images. Some IBR approaches (such as light fields) have yielded impressive high-quality results on small-scale scenes with dense photo capture. However, available wide-baseline IBR methods are still restricted by the low geometric accuracy and completeness of multi-view stereo (MVS) reconstruction on low-textured and non-Lambertian surfaces. The issues become more significant in large-scale outdoor scenes due to challenging scene content, e.g., buildings, trees, and sky. To address these problems, we present a novel IBR algorithm that consists of two key components. First, we propose a novel depth refinement method that combines MVS depth maps with monocular depth maps predicted via deep learning. A lookup table remap is proposed for converting the scale of the monocular depths to be consistent with the scale of the MVS depths. Then, the rescaled monocular depth is used as the constraint in the minimum spanning tree (MST)-based nonlocal filter to refine the per-view MVS depth. Second, we present an efficient shape-preserving warping algorithm that uses superpixels to generate the warped images and blend expected novel views of scenes. The proposed method has been evaluated on public MVS and view synthesis datasets, as well as newly captured large-scale outdoor datasets. In comparison with state-of-the-art methods, the experimental results demonstrated that the proposed method can obtain more complete and reliable depth maps for the challenging large-scale outdoor scenes, thereby resulting in more promising novel view synthesis.
LIT Team’s System Description for Japanese-Chinese Machine Translation Task in IWSLT 2020

This paper describes the LIT Team's submission to the IWSLT2020 open domain translation task, focusing primarily on Japanese-to-Chinese translation direction.Our system is based on the organizers' baseline system, but we do more works on improving the Transformer baseline system by elaborate data preprocessing.We manage to obtain significant improvements, and this paper aims to share some data processing experiences in this translation task.Large-scale back-translation on monolingual corpus is also investigated.In addition, we also try shared and exclusive word embeddings, compare different granularity of tokens like sub-word level.Our Japanese-to-Chinese translation system achieves a performance of BLEU=34.0 and ranks 2nd among all participating systems.
Pengaruh Pendekatan Konstruktivisme Berbasis Learning Cycle 5E Terhadap Hasil Belajar Siswa Kelas Xi Pada Materi Larutan Penyangga Di Sma Kristen Kotamobagu

This study aims to determine the effect of using the constructivist approach based on the 5E learning cycle on the learning outcomes of class XI students on buffer solutions. This research was conducted in classes XI IPA 1 and XI IPA 2 of Kotamobagu Christian High School. The method used is an experimental method with a post – test only control design. The research sample consisted of 23 randomly selected students. The experimental class uses the 5E learning cycle model, the control class uses conventional learning. Student learning outcomes data obtained from post-test scores. The analysis of research data shows that there are differences in student learning outcomes, which are taught using the 5E learning cycle model and those using conventional learning. The data analysis used the t-test with a significance level of α = 0.05. Statistical analysis of student learning outcomes obtained tcount&gt; ttable or 4.90&gt; 1.68. So it can be concluded that there are differences between student learning outcomes using the constructivism approach based on the 5E learning cycle and student learning outcomes using conventional learning.
Measuring the Preventive of Drug Dangers in Elementary Schools

This study aims to describe the effect of information services as a preventive measure against the dangers of drugs in elementary schools in Enrekang Regency, so students understand and can avoid negative things so that students are not easily affected by deviant behavior. In this case elementary school classroom teachers in Enrekang District plays an important role in the responsibility for drug prevention at the school, however all teachers in primary schools in Enrekang Regency have the same responsibility so that students are saved from the language of drugs. One example of the information service that is provided to elementary school students in Enrekang Regency is providing a guidebook on the dangers of drug abuse. Intensive socialization of the dangers of drugs by inviting speakers from business groups, officials or educational institutions who understand the dangers of drug use so that students are more aware of the dangers of drug use. The help book can help students in getting more information about the dangers of drug abuse.
A Model Driven Approach for Generating Angular 7 Applications

The proliferation of language and framework updates and the appearance of new ones has made the need for code generation tools an inescapable one. For this reason, many companies have started to invest in this area with the aim of perpetuating the sssknow-how.MDA-Model Driven Architecture- has enabled semi-automatic generation of code via models. The MOFM2T standard is independent of the generated language, but to date, no generator of Angular code from a UML diagram has never seen the light of day, the objective of this article is to propose a platform allowing from a class diagram to generate an operational application in Angular 7.
Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract)

Goal recognisers attempt to infer an agent's intentions from a sequence of observations. Approaches that adapt classical planning techniques to goal recognition have previously been proposed but, generally, they assume the initial world state is accurately defined. In this paper, a state is inaccurate if any fluent's value is unknown or incorrect. To cope with this, a cyclic Action Graph, which models the order constraints between actions, is traversed to label each node with their distance from each hypothesis goal. These distances are used to calculate the posterior goal probabilities. Our experimental results, for 15 different domains, demonstrate that our approach is unaffected by an inaccurately defined initial state.
Standards Matters/Mentor's Musings on a Standardization Conundrum: Blockchain vs. DLTs

This column illustrates the classic case of a common phenomenon of name recognition causing confusion: when the success of a specific service, product, or application overtakes the “umbrella” to which it belongs and ends up devouring its namesake. In the same way not all sticky notes are Post-its, not all DLTs are Blockchain. Essentially, it attempts to give a preview of the Standardization landscape and delves into the imperatives & opportunities of standardization in the Blockchain/DLTs domain.
STRESSING, PRONUNCIATION, AND SPEAKING EXERCISES IN “PATHWAY TO ENGLISH” TEXTBOOK

Abstract: The aim of this research is to investigate how the “Pathway to English” textbook facilitates students’ learning of speaking, specifically in pronunciation and stressing of words. Learning the English language involves four skills: speaking, listening, reading, and writing. As such, textbooks need to be equipped to facilitate the teaching of these skills. However, globalization and the change in what types of English is accepted in broader world contexts may make the textbook obsolete. To see if the textbooks used in Indonesian High Schools are adequate enough to facilitate the teaching of stressing, pronunciation, and speaking, the researcher studied the “Pathway to English” textbook using a content analysis method to see if it has the necessary contents to facilitate the learning of stressing, pronunciation, and speaking. The results of this study shows that the textbook is inadequate to facilitate the learning of pronunciation and stressing, but it is equipped to facilitate the teaching of general English speaking skills. This means that English teachers in High Schools of Indonesia are expected to use supporting media to teach pronunciation and stressing when using the textbook.Keywords: Pathway to English; textbook; speaking; stressing; pronunciation