Reviewerly/exHarmony huggingface dataset:
A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis

The Prebisch-Singer (PS) hypothesis, which postulates the presence of a downward secular trend in the price of primary commodities relative to manufacturers, remains at the core of a continuing debate among international trade economists. The reason is that the results of testing the PS hypothesis depend on the starting point of the technical analysis, i.e., stationarity, nonlinearity, and the existence of structural breaks. The objective of this paper is to appraise the PS hypothesis in the short- and long-run by employing a novel multiresolution wavelets decomposition to a unique data set of commodity prices. The paper also seeks to assess the impact of the terms of trade (also known as Incoterms) on the test results. The analysis reveals that the PS hypothesis is not supported in the long run for the aggregate commodity price index and for most of the individual commodity price series forming it. Furthermore, in addition to the starting point of the analysis, the results show that the PS test depends on the term of trade classification of commodity prices. These findings are of particular significance to international trade regulators and policymakers of developing economies that depend mainly on primary commodities in their exports.
Criminal Law Codification of the Norms of Genomic Law in the EU and BRICS Countries

The legal landscape, regarding genomic law, human rights in the field of genetics and assisted reproductive and other biotechnologies, is evolving but still remains very heterogeneous and often contradictory. Above in our research is a summary of the legislation of the 28 European Union countries in the field of genomic law and the safety of genetic information. Some States of the EU have a legal vacuum in this sphere, but we tried to provide a description of general or specific outlines and principles, ethical indications, and general laws which do not control all areas of genomic law. Most European countries already transposed the European Union directives into their respective national legislations about testing, processing, storage, distribution, and import/export of reproductive cells and tissues.
Tractable Large-Scale Deep Reinforcement Learning

Reinforcement learning (RL) has emerged as one of the most promising and powerful techniques in deep learning. The training of intelligent agents requires a myriad of training examples which imposes a substantial computational cost. Consequently, RL is seldom applied to real-world problems and historically has been limited to computer vision tasks, similar to supervised learning. This work proposes an RL framework for complex, partially observable, large-scale environments. We introduce novel techniques for tractable training on commodity GPUs, and significantly reduce computational costs. Furthermore, we present a self-supervised loss that improves the learning stability in applications with a long-time horizon, shortening the training time. We demonstrate the effectiveness of the proposed solution on the application of road extraction from high-resolution satellite images. We present experiments on satellite images of fifteen cities that demonstrate comparable performance to state-of-the-art methods. To the best of our knowledge, this is the first time RL has been applied for extracting road networks. The code is publicly available at: https://github.com/nsarang/road-extraction-rl.
Data-Driven Personas as Interfaces for Persona Analytics System

With increasing access to analytics data, personas are more commonly generated from online user analytics data, using algorithmic approaches and, less often, from assumptions. This integration of data and algorithms offers new opportunities to shift personas from flat files to interactive persona systems. We illustrate this transition with Automatic Persona Generation (APG), a persona system. In pushing advancements of both persona and analytics conceptualization, development, and use, APG presents a multi-layered, full-stack integration. APG affords three levels of user data presentation, which are (a) the conceptual data-driven personas, (b) the analytical user metrics, and (c) the foundational user data. Moving to a persona-as-interface approach offers the benefits of both personas and analytics, and their integration addresses many of the shortcomings of each. The result of a persona analytics system is a better user-understanding instrument than either personas or analytics alone.
Modeling and Control for Complicated Education Systems

The paper aims to investigate the model of a complicated educational system, built on the basis of general principles of mathematical modeling of complex hierarchical systems. The model consists of three components, the interaction between them is provided by certain conditions. This interaction is the basis for modeling the main parameter of the study - the level of funding required for higher education. An important feature of the modeled system is its controllability, because in a real educational system the controlling influence can be performed as an external management of the system to ensure an average level of funding. For the initial problem of optimal control, which consists of a parabolic equation with a multivalued reaction function of the system, the approximate synthesis problem for a certain class of target functionals with control restrictions is solved. The results of modeling can be used in the development of various models of complex systems, as well as for decision-making in public administration and higher education management.
Products of Interest

May 31 2022 Products of Interest Author and Article Information Online Issn: 1531-5169 Print Issn: 0148-9267 © 2022 Massachusetts Institute of Technology2022Massachusetts Institute of Technology Computer Music Journal (2022) 45 (2): 91–106. https://doi.org/10.1162/comj_r_00601 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Products of Interest. Computer Music Journal 2022; 45 (2): 91–106. doi: https://doi.org/10.1162/comj_r_00601 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsComputer Music Journal Search Advanced Search Expressive E, creator of the Touche MIDI/CV controller and the Osmose keyboard synthesizer/controller, has teamed up with Applied Acoustics Systems (AAS), renowned for their physical modeling software instruments, to create a new software plug-in instrument called Imagine (see Figure 1). Imagine allows the user to create and play sounds based on the resonant bodies of physical real-life instruments and to modify them to create fantastical instruments and new acoustic landscapes. Expressive E has created hundreds of presets for Imagine based on feedback from musicians, composers, sound designers, and producers. Each preset is made up Figure 1.View largeDownload slideExpressive E's Imagine physical-modeling based instrument.Figure 1.View largeDownload slideExpressive E's Imagine physical-modeling based instrument. Close modalof two instrument layers. The layers combine two resonant bodies (tubes, strings, bars, or skins) and excites these using a mallet, a noise signal, or a sequence. Layers can... You do not currently have access to this content.
Using Data-Driven Personas Alongside Other Human-Computer Interaction (HCI) Techniques

The persona technique came into widespread use and acceptance shortly after its inception (Cooper, 1999), although it was sometimes criticized along the way (Laubheimer, 2017; McKeen, 2019) for shortcomings relative to other user research methods. There are different approaches apart from personas that can be used during a user-centered design process. All these approaches have their advantages and shortcomings. In this chapter, we explore the employment of data-driven personas in combination with five other HCI techniques used in a user-centered design process. Personas put the focus on the user by being part of a broader user-centric design process. We also present use cases showing data-driven personas from the APG system. Data-driven personas are flexible artifacts that can be tailored to different projects and can be used at any stage of a product lifecycle. Moreover, data-driven personas can also be efficiently used in conjunction with other user research techniques to reflect (Bradley et al., 2021) a holistic understanding of the end user.
Challenges Posed by Autonomous Systems to Liability Regimes: Finding a Balance

Existing liability regimes have traditionally been designed around human conduct leading to damage. As the role of the human is increasingly taken over by autonomous systems, current liability regimes under pressure. This chapter focuses on these challenges posed to existing liability regimes and aims to provide clarity on the current legal framework addressing liability for damage caused by an autonomous system, as well as providing a way forward to ensure a balanced approach in both compensating the injured party for damage caused by an autonomous system and providing incentives to prevent damage.
How Audience can be Engaged in VR Videos; A Critical Analysis of Sense of Presence, Enjoyment and Empathy

Audience engagement has become a priority in the news industry.Journalists and news producers are adopting innovative ways of storytelling that can engage more and more audiences.For this, the producers and directors are using 360 VR technologies to boost audience engagement.However, there is scarce empirical evidence in underdeveloped countries on the relationship between 360 VR videos and audience engagement.Therefore, the study aimed to ind out which element, including the sense of presence, enjoyment, and empathy, is more effective for audience engagement.For this experimental method was employed.Purposefully volunteers were recruited, and a 360 VR video taken from the website "The New York Times" named "The Displaced was shown to them.Their responses were collected on the pre-structured questionnaires.The indings showed that a sense of presence is very vital for audience engagement as the more audience "feel being there" in the 360 VR video, they will be engaged more similarly, the role of enjoyment and empathy is also very important in 360 VR videos.These three elements might be considered as the foundation of the 360 VR video industry.Therefore, the producers and the technology experts can get beneit from these results.It also contributes to the scarcity of 360 VR literature particularly.There is very limited empirical evidence on the relationship of sense of presence, enjoyment, and empathy with audience engagement in underdeveloped countries like Pakistan as this technology is in the very early stage.
Harmonization of defining the development of media literacy within the "Strategy for the development of the public information system in the Republic of Serbia for the period 2020-2025" with the recommendations of the international organization UNESCO about the development of policies and strategies for information and media literacy

Harmonization of defining the development of media literacy within the "Strategy for the development of the public information system in the Republic of Serbia for the period 2020-2025" with the recommendations of the international organization UNESCO about the development of policies and strategies for information and media literacy Abstract: In a global, highly networked world, the creation of media policies at the national level is becoming obsolete and the need to create supranational guidelines and recommendations in the field of media policy is evolving. This study focuses on the comparative analysis of the "Strategy for the development of the public information system in the Republic of Serbia for the period 2020-2025. year" and the UNESCO manual "Media and Information Literacy: Policy and Strategy Guidelines". This paper aims to assess whether and to what extent the "Strategy for the development of the public information system in the Republic of Serbia for the period 2020-2025. year" followed the recommendations of the UNESCO handbook. The theoretical framework of the paper is represented by theories of media policy in global discourse and definitions of media literacy by James Potter, Renee Hobbs and Tibor Coltay, and the empirical part of the paper is based on desk research, content analysis, and comparative analysis. The general conclusion of the paper is that although the Media Strategy indicates a basic understanding of the need to develop media literacy, the measures prescribed by the Media Strategy are broadly defined, do not have specific indicators, and leave room for free interpretation of the functionality of these measures, meaning they are not written according to UNESCO handbook guidelines.
Knowledge Graph Management Platforms: A Feature Based Review

Purpose:The purpose of this study is to identify and review the existing knowledge graph (KG) management platforms (KGMP) based on a comprehensive set of features to help KG managers, KG researchers, data scientists, scientific and commercial community of different domain for gauging the platforms for satisfactory coverage and usage.Design/methodology/Approach -The study uses a systematic literature review approach to identify 24 KGMPs and then reviews the platforms, with the help of a set of 32 features prepared from existing literature and by studying the platforms.The set of features were segregated as basic features and core features to make the study granular. Findings-The review revealed that most platforms were developed by corporate companies and very few were available as open-source platforms.The tools have emerged in the last five years, are domain independent, have both on-premise and cloud deployment facilities and are compatible with a variety of operating systems.They have extensive documentations; use cases in various domains with demo versions.The platforms allow creating KG from structured, unstructured and semistructured data.NoSQL databases, especially the standard community accepted graph databases like Neo4J, GraphDB, AllegroGraph, are the preferred choice for data storage.The platforms use standard semantic technologies; for instance, for data representation uses RDF data model; for providing access to data SPARQL endpoint, GraphQL endpoint and for querying data languages like SPARQL, GraphQL.Platforms possess the facilities like metadata management, ontology management, linked data management that are integral for KG management.The platforms also provide KG search and visualization with data analytics facilities by third party integration softwares like KNIME, Tableau etc.Originality/value: This paper carries out a basic level review of KGMPs employing a feature-based approach.Compared to the previous studies, present study not only covers more KGMPs but also provides more features that makes the study granular.
DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching

Sentence semantic matching requires an agent to determine the semantic relation between two sentences, where much recent progress has been made by advancement of representation learning techniques and inspiration of human behaviors. Among all these methods, attention mechanism plays an essential role by selecting important parts effectively. However, current attention methods either focus on all the important parts in a static way or only select one important part at one attention step dynamically, which leaves a large space for further improvement. To this end, in this paper, we design a novel Dynamic Gaussian Attention Network (DGA-Net) to combine the advantages of current static and dynamic attention methods. More specifically, we first leverage pre-trained language model to encode the input sentences and construct semantic representations from a global perspective. Then, we develop a Dynamic Gaussian Attention (DGA) to dynamically capture the important parts and corresponding local contexts from a detailed perspective. Finally, we combine the global information and detailed local information together to decide the semantic relation of sentences comprehensively and precisely. Extensive experiments on two popular sentence semantic matching tasks demonstrate that our proposed DGA-Net is effective in improving the ability of attention mechanism.
Enhancing Students’ Performance in English through A Digital Flip book

Designing digital flipbook and flexibly applying technology tools are the key issues for current information technology integrated education. Digital flipbook instruction is an attempt to individualize learning by allowing a student to achieve mastery of one unit of content before moving on to another. Digital flipbook, as a self- instructional material, can be used as a supplementary material to help the student improve his/her mastery in lessons. This study aimed to develop and validate a digital flipbook that would serve as a teaching material which can be used in blended instruction. The study used the design and development research (also referred to as Intervention Design and Development) which is pragmatic by nature. This research study went through five stages namely: planning, designing, consulting, constructing/creating and editing stage. The K-12 curriculum guide for English 9 was the basis of the learning competencies in which the researcher provided a culminating opportunity for the grade nine students to demonstrate a complete understanding of the subject, and the ability to apply them in practice. It was carried out in a two-phase manner. Phase 1 was the development of the material, and phase two was the validation process. The digital flipbook was evaluated by the two sets of validators. The first set were: (1)one head teacher in English, one school principal (English major), one subject teacher (English major), one English critic who evaluated the content of the module for the target learners. The second set were four ICT experts who evaluated the technical or technological aspect on the digital presentation of the module. The results of the study revealed that: (1) development of the digital flipbook needs to follow certain procedural frameworks and it should provide input of the topics and set of activities that will develop the learning competencies of the grade nine learners to maximize learning; (2) the content, format and design, technical or technological, and pedagogy of the topics presented in the digital flipbook are generally commendable and can be used as reference or instructional material in grade 9 English.
VNE Strategy Based on Chaotic Hybrid Flower Pollination Algorithm Considering Multi-Criteria Decision Making

With the development of science and technology and the need for multi-criteria decision making (MCDM), the optimization problem to be solved becomes extremely complex. The theoretically accurate and optimal solutions are often difficult to obtain. Therefore, meta-heuristic algorithms based on multi-point search have received extensive attention. The flower pollination algorithm (FPA) is a new swarm intelligence meta-heuristic algorithm that can effectively control the balance between global search and local search through a handover probability and gradually attracts the attention of researchers. However, the algorithm still has problems that are common to optimization algorithms. For example, the global search operation guided by the optimal solution is easy to lead the algorithm into local optimum, and the vector-guided search process is not suitable for solving some problems in discrete space. Moreover, the algorithm does not consider dynamic multi-criteria decision problems well. Aiming at these problems, the design strategy of hybrid flower pollination algorithm for VNE problem is discussed. Combining the advantages of the genetic algorithm and FPA, the algorithm is optimized for the characteristics of discrete optimization problems. The cross operation is used to replace the cross-pollination operation to complete the global search and replace the mutation operation with self-pollination operation to enhance the ability of local search. Moreover, a life cycle mechanism is introduced as a complement to the traditional fitness-based selection strategy to avoid premature convergence. A chaotic optimization strategy is introduced to replace the random sequence-guided crossover process to strengthen the global search capability and reduce the probability of producing invalid individuals. In addition, a 2-layer BP neural network is introduced to replace the traditional objective function to strengthen the dynamic MCDM ability. Simulation results show that the proposed method has good performance in link load balancing, revenue-cost ratio, VNRs acceptance ratio, mapping average quotation, average time delay, average packet loss rate, and the average running time of the algorithm.
Assessment on Effective Investment during Inflationary Period in Ethiopia

The purpose of this study is to scope the best possibilities for allocation of investable funds during inflationary periods in Ethiopia. The findings are based on conversations with major stakeholders, by reviewing the literature into options and in consultation with financial scholars in Ethiopia. The study offers a menu of effective cash utilization, assesses their suitability for Ethiopia context and their feasibility in the light of financial sector developments in the country.The basic premise of this study is that ultimately what is of concern to an investor, whether a household or an institutional investor, is the real value of its investments in terms of purchasing power. The issue to be addressed is which investment strategy make sense in an economic environment in which a major factor (although certainly not the only one) to be considered is substantial uncertainty about the future level of the prices of those goods and services. By investment strategy I mean decisions about how to allocate investable funds among two major investment classes: Ownership Investments and Lending Investments. The chapter is organized as follows. I will first discuss why it is real or inflation-adjusted rates of return and their uncertainty which ought to be the main concern of investors. I will then present the factors that affect investment which will state the direct and indirect factors which impact the decision making of the investors, examine the real rates of return on the two investment categories. Finally, I will discuss the implications of my findings for individual and institutional asset allocation policies.