Reviewerly/exHarmony huggingface dataset:
Semantic Hashing with Locality Sensitive Embeddings

Semantic hashing methods have been explored for learning transformations into binary vector spaces. These learned binary representations may then be used in hashing based retrieval methods, typically by retrieving all neighboring elements in the Hamming ball with radius 1 or 2. Prior studies focus on tasks with a few dozen to a few hundred semantic categories at most, and it is not currently well known how these methods scale to domains with richer semantic structure. In this study, we focus on learning embeddings for the use in exact hashing retrieval, where Approximate Nearest Neighbor search comprises of a simple table lookup. We propose similarity learning methods in which the optimized similarity is the angular similarity (the probability of collision under SimHash.) We demonstrate the benefits of these embeddings on a variety of domains, including a coocurrence modelling task on a large scale text corpus; a rich structure of which cannot be handled by a few hundred semantic groups.
The Construction of “One-Center and Three-Level” Kindergarten Environment Creation Curriculum Group

The construction of a “one-center and three-level” kindergarten environment creation curriculum group is theoretically built on Dewey’s idea of ‘learning by doing’ and the concept of the whole practice, and it is intended for solving problems such isolation between courses in a curriculum, the disjunction between art courses and the actual situation of kindergartens, lack of inquisitiveness among students and their poor ability to learn through collaboration. The researcher follows the curriculum construction philosophy of “focusing on exploration, strengthening practice and developing progressively”, takes the “kindergarten environment creation” course as the core, sets up a “one-system, one-group, one-whole” curriculum management mechanism, and implements intramural-extramural and online-offline dual teaching model. Through course integration, the researcher perfects the cognitive structure of students, develops comprehensive environment creation capability of students; builds a community of practical teaching, reinforces the connection between courses and actual work of kindergartens, develops the ability of students to achieve mastery through a comprehensive study; conducts online-offline mixed teaching, advance deep learning of students, and enhances the ability of teachers to conduct information-based teaching.
Financial Development, Exchange Rate Fluctuations and Debt Dollarization: A Firm-Level Evidence

This paper examines how financial development influences the debt dollarization of nonfinancial firms in a sample of emerging market economies (EMEs). The macroeconomic channels are identified from an optimal portfolio allocation model and assessed empirically using the accounting information of nonfinancial firms from 21 EMEs during 2009-2017. The results show that financial development, measured by the private credit-to-GDP ratio, mainly reduces the influence of exchange rate volatility in determining a firm's debt currency composition, among other channels. Furthermore, the effect of exchange rate volatility becomes statistically insignificant beyond an estimated threshold credit-to-GDP ratio of 100 percent.
La visibilidad web y recomendaciones para la producción científica de la Universidad Nacional de Chilecito

Objective. Design a method for the analysis of the web visibility of the scientific production of the National University of Chilecito (UNdeC) and generate a set of recommendations to improve and promote the scientific publication.Method. The research was projective (Hurtado, 2008) because it involved the creation and design of a proposal to analyze the scientific production at the UNdeC. The development was based on three stages or axes that allowed to develop a procedure that evaluated the scientific production of an institution.Results. There was a substantial improvement in the amount of scientific products presented in general, the increase was 71.34%. Similarly, the growth in the number of authors was 21.16%. Other tangible results were the two courses / workshops taught.Conclusions. The objective of the work was realized, since the scientific production of the UNdeC was analyzed and a method was developed to increase the web positioning of the UNdeC. The tangible results, such as the scientific products of the UNdeC, presented by the authors of the work and the different reports / activities presented to the UNdeC are presented.
Text and Data Mining in Directive 2019/790/EU Enhancing Web-Harvesting and Web-Archiving in Libraries and Archives

Text and Data Mining (hereinafter, TDM) issue for the purpose of scientific research or for any other purpose which is included in the provisions of the new EU Directive on Copyright in the Digital Single Market (hereinafter, DSM). TDM is a term that includes Web harvesting and Web Archiving activities. Web harvesting and archiving pertains to the processes of collecting from the web and archiving of works that reside on the Web. Web harvesting and archiving is one of the most attractive applications for libraries which plan ahead for their future operation. When works retrieved from the Web are turned into archived and documented material to be found in a library, the amount of works that can be found in said library can be far greater than the number of works harvested from the Web. This paper aims at presenting certain issues related to the existing legal framework as well as technical/librarianship issues that apply to TDM which includes Web harvesting and archiving activities. This paper elaborates upon the applicable new provisions of Directive 2019/ 790/EU on Copyright in the DSM with the aim to shed light upon issues such as the notion of “lawful access”, the beneficiary of the mandatory exception for TDM, the purpose-specific TDM described in art.3 of the new Directive on Copyright in the DSM, and the application of the “three-step test” in TDM.
Unintended consequences of prohibiting advocacy of hatred and regulating campaign finance: The weakening status of freedom of speech in Israel

Abstract A central dilemma in human rights law is how to reconcile the government’s duty to respect freedom with its obligation to protect individuals that might be harmed by the exercise of said freedom. Intolerance toward the dissemination of certain illiberal positions may have adverse social and political unintended results. One central concern is that such a policy would create a common culture that does not appreciate the critical importance of a vibrant public discourse. As such, it might enable governments, in terms of popular legitimacy, to curtail speech beyond the limits of justifiable infringements. Recent developments in Israel illustrate this concern. In recent years, normatively legitimate antiracism legislation was unjustifiably expanded by imposing sanctions on expressions that were deemed harmful to national sentiments or questioning the legitimacy of Israel’s Constitutional Identity as a Jewish state. Similarly, laws against the support of terrorism were followed by prohibitions on advocating boycotts against Israel. This Article proposes to halt the sociological slippery-slope trend of curtailing speech far and beyond the permissible scope of such a policy, by implementing rules-based legal doctrines that may foster a stronger public pressure on the government to protect free speech; restricting the scope of “harm-in-one-step” approach; and providing a clearer definition of the requirement of state neutrality in the context of regulating speech.
Blockchain Governance — A New Way of Organizing Collaborations?

The recent emergence of blockchains may be considered a critical turning point in organizing collaborations. We outline the historical background and the fundamental features of blockchains and present an analysis with a focus on their role as governance mechanisms. Specifically, we argue that blockchains offer a way to enforce agreements and achieve cooperation and coordination that is distinct from both traditional contractual and relational governance as well as from other IT solutions. We also examine the scope of blockchains as efficient governance mechanisms and highlight the tacitness of the transaction as a key boundary condition. We then discuss how blockchain governance interacts with traditional governance mechanisms in both substitutive and complementary ways. We pay particular attention to blockchains’ social implications as well as their inherent challenges and limitations. Our analysis culminates in a research agenda that explores how blockchains may change the way to organize collaborations, including issues of what different types of blockchains may emerge, who is involved and impacted by blockchain governance, why actors may want blockchains, when and where blockchains can be more (vs. less) effective, and how blockchains influence a number of important organizational outcomes.
THE STRATEGY FOR THE PRACTICAL TRAINING OF STUDENTS IN EDUCATIONAL PROCESS OF A PEDAGOGICAL UNIVERSITY

The article substantiates the strategy of practical training of students of a pedagogical University, the purpose of which is to justify the key priorities of practical training and directions of its development. The authors define the tasks of practical training, which consist in ensuring students’ readiness to solve professional problems in conditions of uncertainty, developing the ability to apply knowledge and experience in educational practice, and forming the ability to choose solutions based on their own professional position.
A Context Model for Business Process Adaptation based on Ontology Reasoning

The surrounding context information of business processes is unpredictable and dynamically changing over time. Therefore, they should dynamically adapt themselves to different changes in context information such as business rules or computational changes in available resources. For example, we may add a particular delivery service for golden customers, or provide new payment services in case of unavailability of service providers, or change a service invocation based on available bandwidth. Unlike other methods which provide a context Meta model or a shallow context taxonomy in a specific limited scope of the business domain, we focused on ontology engineering methods not only to propose a general multipurpose context ontology but also to present our proposal as an underlying ontology for other researchers to extend and customize it for their applications. In this paper, the business process adaptation knowledge is modelled in the form of concepts, relations, and axioms which comprises time, resources, performers, locations, environment, and rules to model and record whole context information of adaptation mechanism. We characterized our work in comparison with related studies to show its completeness and demonstrated it by using an online learning management system and virtual class case studies.
INCREASING STUDENTS’ VOCABULARY MASTERY BY GUESSING GAME

This research was about increasing students’ vocabulary mastery by using guessing game at the third grade of Madrasah Al-Munawwarah Tambun. The design of this research was pre experimental research. The sample of this research were the third grade that consists of 16 students. The data obtained from pre test and post test. In the pre test it was found that mean score of the student were 65,37 and in the post test were 79,87. Computation of the data t count results was5,069while t table was 2,131. The result indicates that there is an increasement in students’ vocabulary mastery by using guessing game. It can be concluded that increasing vocabulary mastery by using guessing game is effective to increase students’ vocabulary mastery. Keywords: : Increasing, vocabulary mastery, Guessing game
Search, and You Will Find: Predicting Users’ Intent

In the age of big data the amount of content is increasing all while users expect to find information more quickly. As more and more of our users were raised with Google their expectations on search have also been raised. While in the past we asked users to neatly spell out their query into individual fields, products now move towards the “single search box”.This is why we want to understand better what exactly users are searching for, and we want to engage users in a conversational search experience to guide them quickly to relevant information. Eventually we want to present the user with a powerful, feature-rich search that is still easy and intuitive to use.A thorough analysis of our query logs showed different usage patterns that fall broadly into two categories. On the one side stand exploratory queries in which a user is looking for information about a particular topic or for documents containing certain keywords. On the other hand, however, nearly half of the queries are targeting a concrete entity, for us mostly specific scientific articles but also authors, organizations or journals. Users implicitly expect very different results to these query types.This makes it important to determine the user's intent, primarily by analyzing the query, but also using additional features. We will discuss the particular challenges that we are facing in doing NLP on queries and how we are addressing problems like ambiguous terms, defective syntactic structure and limited context.Using a range of methods – from simple patterns and dictionary lookups to word embeddings, conditional random fields and transformer models – we will present solutions to recognize exotic entities like publication years, author names and article titles, and we will give a taste of our latest work on question answering and dynamic, search history based suggestions.
The abstract of doctoral dissertation ‘nonlinear wavelet density estimation and hazard rate estimation with data missing at random’

In this thesis, we establish non-linear wavelet density estimators and studying the asymptotic properties of the estimators with data missing at random when covariates are present. The outstanding advantage of non-linear wavelet method is estimating the unsoothed functions, however, the classical kernel estimation cannot do this work. At the same time, we study the larger sample properties of the ISE for hazard rate estimator.
Understanding the Greater Diffusion of Mobile Money Innovations in Africa

The present research extends Lashitew, van Tulder and Liasse (2019, RP) in order to understand the greater diffusion of mobile money innovations in Africa. To make this assessment, a comparative analysis is engaged between sampled African countries and the corresponding sampled developing countries. Three main types of predictor groups are used for the study, namely: demand, supply and macro-level factors. The empirical evidence is based on Tobit regressions. The tested hypothesis is confirmed because from a comparative analysis between African-specific estimates and those of the sampled countries, not all factors driving mobile money innovations in Africa are apparent in the findings of Lashitew et al. (2019). An extended analysis is also performed to take on board the concern of multicollinearity from which, the best estimators from the study are derived. Comparative findings from correlation analysis show that an African specificity is largely traceable to the ‘unique mobile subscription rate’ variable. An in-depth empirical analysis further confirms an African specificity in the outcome variables (especially in the mobile used to send/receive money) which, may be traceable to informal sector variables not documented in Lashitew et al. (2019). Scholarly and policy implications are discussed.
PEMERIKSAAN REFRAKSI SUBYEKTIF PADA PENDERITA PRESBYOPIA DENGAN STATUS REFRAKSI EMMETROPIA

Abstract Accomodation is a mechanism that regulates the focus of the eyes to respond to visual stimulation by changing the refractive power of the crystaline lens. To focus near object, the cilliary muscle contracts which changes the shapes of the lens. However with increasing age, elasticity of the lens decreases causing anomalies of accomodation called presbyopia. The teatment of presbyopia is the prescription of appropriate convex glasses for near work. In this paper, the writer uses descriptive methods from the library data regarding subjective refraction to find the correction lens diopters to reach the best visual acuity. Keywords: Pattern, Single Vision Sphero Cylinder Lenses, Descriptive, Accurate, Quality
Learning Engineering and Reengineering for Online and Hybrid Environments: A Case Study of a Blended Course

The transformative actions in education, driven by the social changes in our contemporary society, aim to adapt individuals to the new socio-economic environment. As a result, the digitalisation of adult education takes on a significant role, in response to the need for constant and less time-consuming training. How does the use of new technologies in adult education contribute to the reconfiguration of learning engineering? The aim of this article is to examine the current transformations in education, better understand the recent developments induced by blended learning and the effects observed in adults. To do so, we conducted a case study on adult learners during the academic years 2018-2020. The experimentation consisted in transforming a face-to-face course into a blended course. The presentation and analysis of the engineering of the blended learning scenario attempts to answer the following question: How does blended learning transform the practices of accompaniment, support or coaching (Papadopoulou, 2020)? As for the analysis of the three questionnaires proposed to the students, it aims to answer the question: How does the introduction of blended courses effect the adult learners? Thus, cross-analysis of the collected data provides results about the transformations of practices caused by the integration of new technologies in adult education.
Students Perception of Mobile Learning During COVID-19 in Bangladesh: University Student Perspective

The aim of this study is to measures the student’s perception of using mobile for learning during COVID-19 in Bangladesh especially at the university student’s perspective. During the COVID-19 pandemic period, mobile learning may help the students to fulfill the study gap. Due to COVID-19 pandemic 213 countries, higher education has affected all over the world of June 2020. Although all of the developed countries considered mobile learning as an effective tool for education, it is not used properly in Bangladesh. This survey method conducted on 416 students from different university students in Bangladesh to understand the student’s perception of using mobile phones as a learning system. The findings of this study show that most of the students at the university level have a positive perception of m-learning. This study revealed that m-learning is very helpful to recover the study gap during this COVID-19 pandemic time and the findings of this study will help the education policymaker as well as the educational institutions to incorporate mobile learning technology for the whole system where social media may enhance the process of teaching and learning.
Luonnontieteen luonne kemian opetuksessa

Nature of science (NOS) is widely recognized as one of the key aims of chemistry education. The purpose of this paper is to describe the importance of teaching NOS as well as to discuss the role of NOS in sustainable chemistry education.Article detailsArticle: Vesterinen, V.-M. (2016). Nature of science and chemistry education. LUMAT-B: International Journal on Math, Science and Technology Education, 1(3).Citations: Google ScholarLicense: CC BY-NCOriginal full text: https://journals.helsinki.fi/lumatb/article/view/1199
Identifying and Boosting 'Gazelles': Evidence from Business Accelerators

Why is high-growth entrepreneurship scarce in developing countries? Does this scarcity reflect optimal allocations, or constraints? We explore these questions using as laboratory an accelerator in Colombia that selects participants using scores from randomly assigned judges and offers them training, customized advice, and visibility, but no cash. Exploiting exogenous differences in judges’ scoring generosity, we show that alleviating constraints to firm capabilities increases average high-growth by unlocking innovative-entrepreneurs’ potential, rather than by transforming low-quality ideas. Results demonstrate that some high-potential entrepreneurs in developing economies face firm capabilities constraints, and that accelerators can help identify these entrepreneurs and boost their growth.
Transmathematica 2019

We describe the proceedings of Transmathematica 2019 - The 2nd International Conference on Total Systems which was held in Reading, UK on 1st July 2019. We describe how to cite Transmathematica journal papers and announce Transmathematica 2021 - The 3rd International Conference on Total Systems.
New data on absolute age, petrology and potential of ore mineralization within Murzinsky intrusive massif (northwestern Altai)

The geological, petrogeochemical data, absolute age dating and information about endogenetic ore mineralization of Murzinsky intrusive massif of Altai are presented. Comparison of rock compositions and melanocratic inclusions suggests that gold potential of deep spot melting is related to hybrid melts forming as basalt and crust acidic magma mixed. Along with skarn, the ore field could host copper-gold-porphyry mineralization. Gold was supplied from acidic melting as a result of amphibolites and lower crust greywacke melting.
The Logics of Technology Decentralization - The Case of Distributed Ledger Technologies

Decentralization is heralded as the most important technological design aspect of distributed ledger technologies (DLTs). In this chapter we’ll analyze the concept of decentralization, with the goal to understand the social, legal, economic forces that produce more or less decentralized techno-social systems. We first give an overview of decentralization as a political ideology, and as an ideal and natural end-point in the development of digital technologies. We then move beyond this discourse and treat decentralization, its extent, its mode, the systems which it can refer to as the products of particular economic, political, social dynamics around and within these techno-social systems. We then point at the concrete forces that shape the actual degree of (de)centralization. Through this, we show that the extent to which a techno-social system is (de)centralized at any given moment should not be measured by its distance from an ideological ideal of total decentralization, but should be seen as the sum of all the social, economic, political, legal forces that impact a techno-social system.
Pengembangan Asesmen Berbasis Game Education “Smart Pirates” pada Materi Tekanan Hidrostatis

This paper consist of research and development of assessment based on game education “Smart Pirates” to facilitate educators in assessing the material of Hydrostatic Pressure and create a fun learning atmosphere for students. The research has been conducted using a research and development theory adapted from Borg and Gall design and consisted of three stages. The research subjects were students of FMIPA UM. The instrument used was a questionnaire and quantitative descriptive data analysis. Based on the results of this research, it can be concluded that the assessment developed has met the eligible criteria. "Smart Pirates" can help educators in making assessments effectively and optimally and make students relax in working on the questions well.