Reviewerly/exHarmony huggingface dataset:
Word knowledge in a cross-disciplinary world

This editorial project stemmed from a 4-year period of intense interdisciplinary research networking funded by the European Science Foundation within the framework of the NetWordS project (09-RNP-089).The project mission was to bring together experts of various research fields (from brain sciences and computing to cognition and linguistics) and of different theoretical inclinations, to advance the current awareness of theoretical, typological, psycholinguistic, computational and neurophysiological evidence on the structure and processing of words, with a view to promoting novel methods of research and assessment for grammar architecture and language usage.The unprecedented cross-disciplinary fertilization prompted by a wide range of scientific and educational initiatives (three international workshops, two summer schools, one main conference and over a hundred grants supporting short visits and multilateral exchanges) persuaded us to pursue this effort beyond the project lifespan, spawning the idea of an interdisciplinary handbook, where a wide range of central topics on word knowledge and usage are dealt with by teams of authors with common interests and different backgrounds.Unsurprisingly (with the benefit of the hindsight), the project turned out to be more challenging and time-consuming than initially planned.Cross-boundary talking and mutual understanding are neither short-term, nor immediately rewarding efforts, but part of a long-sighted, strategic vision, where stamina, motivation and planning ahead play a prominent role.We believe that this book, published as an open access volume, significantly sharpens the current understanding of issues of word knowledge and usage, and has a real potential for promoting novel research paradigms, and bringing up a new generation of language scholars.
Neural Maximum Independent Set

The emergence of deep learning brought solutions to many difficult problems and has recently motivated new studies that try to solve hard combinatorial optimization problems with machine learning approaches. We propose a framework based on Expert Iteration, an imitation learning method that we apply to solve combinatorial optimization problems on graphs, in particular the Maximum Independent Set problem. Our method relies on training GNNs to recognize how to complete a solution, given a partial solution of the problem as an input. This paper emphasizes some interesting findings such as the introduction of learned nodes features helping the neural network to give relevant solutions. Moreover, we represent the space of good solutions and discuss the ability of GNN’s to solve the problem on a graph without training on it.
An NLP-based Tool for Software Artifacts Analysis

The International Conference on Software Maintenance and Evolution is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolution.
Performance Analysis of Berlekamp–Massey-Based KES Block for 3-Byte RS Decoder

Reed–Solomon (RS) codes are mainly powerful subclass of cyclic non-binary BCH codes which are widely employed to detect and correct both the burst and random errors in different digital transmission systems and storage media. In RS codes, the most important and complex block is key equation solver (KES) which is responsible to compute the unknown error location polynomial and magnitude polynomial. The designers mostly prefer the Berlekamp–Massey (BM)-based algorithms for computation of this KES block. In this paper, we have analyzed and implemented Berlekamp–Massey algorithm-based three important algorithms, namely inversionless Berlekamp–Massey (iBM) algorithm, reformulated inversionless Berlekamp–Massey (riBM) algorithm and extended reformulated inversionless Berlekamp–Massey (RiBM) algorithm. These three algorithms have been simulated and evaluated using both FPGA and ASIC platforms. The KES blocks based on three algorithms are compared in terms of area occupied and propagation delay. It is observed that iBM algorithm-based KES block requires lesser area with higher delay. On the other way, the RiBM algorithm-based KES block has lowest delay with larger area. This analysis will help the design engineer to implement resource constraints application in digital communication systems and storage systems.
A Compact Secret Image Sharing Scheme Based on Flexible Secret Matrix Sharing Scheme

In social networks, Secret Image Sharing (SIS) provides an effective way to protect secret images. However, most existing SIS schemes only support limited access policies, which are not flexible enough for lots of scenarios. In this work, we propose an SIS scheme to solve this defect. The core contributions of our scheme can be summarized as follows. Firstly, we propose a Secret Matrix Sharing Scheme (SMSS), which is extended from the traditional Linear Secret Sharing Scheme (LSSS). Different from LSSS, SMSS shares a secret matrix instead of a single secret value. Secondly, based on our SMSS, we propose an SIS scheme named LM-SIS, which supports monotonous access policies. Compared with other SIS schemes, our scheme has advantages in flexibility and efficiency. Furthermore, the LM-SIS scheme is compact, which is reflected in its shadow size ratio is approximately 1/k, where k denotes the root threshold of the access tree. Finally, our scheme provides lossless or approximately lossless recovery, and experimental results show that the PSNR of the recovered images is always greater than 30 dB and the SSIM usually exceeds 0.99. By sacrificing a little storage cost, our LM-SIS scheme can achieve lossless recovery.
The research and practice of software authorization scheme in distributed environment

With the rapid development of Virtualization technology and networks, Virtualization has become an important part of enterprise IT construction. Not only the original business system and the virtualized environment co-exist in the enterprise data center, but also the traditional software licenses based on hardware characteristics need to be migrated to the virtualized environment. This poses a challenge to traditional software authorization methods. This article analyzes the software authorization scheme in the distributed environment, hoping to provide help and reference for improving the traditional software authorization method.
Design of a virtual community prototype to promote the inclusion of deaf people in the university environment

This document describes the process of analysis, design, implementation and testing of a prototype for a virtual community to promote the inclusion of deaf people in the university environment, specifically considering the Faculty of Statistics and Informatics of the Universidad Veracruzana. After having been implanted and tested, both in the laboratory and with heuristic tests, it has been determined that the virtual community has a great acceptance, so it can be said that it will fulfill its main objective, which is to promote the inclusion of deaf people in the university environment
Processing and analysis of aeromagnetic data - Passa Quatro and Itatiaia Alkaline Complexes (RJ, SP and MG - Southeast of Brazil)

The Passa Quatro Alkaline Complex (CAPQ) in general represents the biggest felsic plutonic rock complex of the Mesozoic-Cenozoic age.It's a batholitic complex associated with the hypabyssal rocks, as dikes and spills.The CAPQ is located between Minas Gerais, Rio de Janeiro, and São Paulo state border, it's embedded in the gneisses and other metamorphic rocks of Brasiliana-Pan Africana age of Ribeira mobile Belt.The alkaline rocks outcropping of CAPQ has an elliptical-rounded shape exposing approximately 150 km 2 of rocks with a general E-W strike direction.The emplacement of the plutonic rocks is associated with the reactivation of basement structures and failures related to the rupture of the Gondwana Paleocontinent.The alkaline bodies associated with the same evolutive process that CAPQ has its genesis linked to the partial melting of mantle mafic rocks and correlated to the fractional crystallization.Magnetometric data can be a great tool to test geodynamic models for the complex, considering the absence of evidence corresponding to the parental or primary mantle magma.The database of the Companhia Brasileira de Recursos Minerais (CPRM) represents a reliable and quality source of aeromagnetometric data and Oasis Montaj is the software scattered in the academic and professional networks to process the CPRM database.Filters associated with mathematical and geophysical algorithms were used to enhance analytical signals, delimit and analyze the CAPQ magnetic anomaly.Throughout the research, we came across the Itatiaia Alkaline Complex (ITA) that will be treated along with this work and whose initial scope was not our focus.
GETTING CLOSER TO THE THINGS WE ARE LOOKING FOR - A PROPOSAL FOR ASPECT-DRIVEN TEXT ANALYSIS

Locating facts in texts is still a challenge for retrieval systems.Instead of measuring the relevance of the entire text for a search query, the focus of our approach of fact retrieval and text mining is on spotting only essential parts of text.We propose to enrich search queries by aspects supporting highly precise retrieval.An aspect denotes the unique interpretation of a set of words that appear in close proximity.We conceive an aspect representation as a hierarchical structure composed by its semantic elements that, in turn, constitute the aspect's implicit meaning.In this paper, we present the definition and application of aspect blueprints that serve as standardized representations of aspects.Our prototypical system Contexter operates on these blueprints and locates facts in texts.In a semi-automatic way, the system tries to detect variants of blueprints that the user can confirm or reject.Here, we illustrate our approach and system in the realm of economic information.
Teaching acoustics through entertainment: Why and how?

In our modern and highly connected world, we are fed with large and growing amounts of information. As an example, the yearly number of published scientific articles exceeded the astounding number of 1 500 000 papers.in 2015. More and more time is spent on numerical media or supports, with texts that tend to be scanned rather than read. The way we acquire knowledge is also deeply modified by these changes. In this communication, some alternatives to classical acoustics and vibration teaching materials are discussed, with corresponding perspectives for an effective information transmission. Among other examples, the presented works include video games, comics and reactive web documents that can be all used for educational purposes with entertainment as a keyword.
Research Trends Analysis of Chinese Language Education: Focusing on ≪Chinese Langague Education and Research≫ from Korea Association of Chinese Language Education

The purpose of this study was to analyze the research trends of ≪Chinese Language Education and Research≫. To do so, a total of 382 articles were analyzed with five criteria (basic status, characteristics of researchers, methods, subjects, and topics). The results were as follows: First, articles written in Korean and the participation of Koreans steadily increased, not like the beginnings of the publications which had more articles in Chinese. Second, it was also found that theoretical research with literature review was mainly conducted. Therefore, research using a variety of methodologies and subjects should be conducted. Third, considering topics, around 50% of the articles focused on language 4 skills, teaching and learning methods, and Chinese linguistics. It can be implied that the publication is specialized for the field of Chinese language education. However, as grammar education was focused, other topics such as teacher’s education and evaluation were limited. Therefore, it is recommended that research related to various topics and perspectives should be conducted for the development of Chinese language education in the future.
Shield of Achilles using 3D Technologies to Support Teaching Scenarios of Homeric Epics

The “Shield of Achilles” is an effort to teach in an interdisciplinary way both the teaching subjects of Ancient Greek (Omer’s Iliad) and Informatics (3D modelling and printing), that took place in the 1st Junior High School of Vrilissia, Athens, during the school year 2017-2018 [13]. Students of B grade of Junior High School (ages 13-14), on a voluntarily basis, separated into groups of 4, created in a 3D design environment the “Shield of Achilles” as were taught during the subject of Ancient Greek and according to the description of the shield given by Homer in his poem “Iliad”. The most of the shields were eventually printed out using the 3D printer of the computer lab. The aim of the project was to support teaching between STEM and Classical subjects, co-create and implement integrated models inspired by STEM and classical disciplines and to investigate the behavior of students through a school program based in both formal and non-formal educational approaches. Part of the program was supported through the school’s curriculum, part of the program had to be implemented out of school hours. After the completion of the project students responded to a questionnaire prepared by the teachers in a google form format. The most important results of this questionnaire are discussed in this work.
Review of Researches on Asian History(2018~2019)

The purpose of this paper is to briefly summarize the achievements and trends of the Korean Researches on Asian history over the past two years. In the meantime, in each field of Asian history, especially in the field of premodern history, a number of books of various levels and contents have been published, showing the vitality of the field, and in general, it is possible to confirm the presentation of research achievements comparable to the last period.<BR> In addition, the achievements of the joint research are not small, which makes us optimistic about the future of Asian history research in Korea. You can easily check the expansion and substantiveness of the extension, the approach from various subjects and novel perspectives.<BR> However, in the midst of the overall humanities crisis, the task of revitalizing joint work and fostering the next generation of academics is still a task that the Korean Asian History community has, and the vitalization and substantiveness of the research debate held annually by Korean Association of the Asian History is one of the good ways for that. It will take an active effort to improve it.<BR> Moreover, in the global Corona 19 pandemic that attacked in 2020, Academic exchanges at home and abroad are in serious crisis, so it will be necessary to seek preparations for the era after Corona 19.
Retraction: A Secure Digital E-Voting Using Blockchain Technology (J. Phys.: Conf. Ser. 1916 012197)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
PaaS Cloud Application and Database Portability: An Initial View

A new paradigm to cater to the demand for increasingly complex software systems and to shape the way software applications are developed, has emerged, called Cloud Computing. Evolved from the already prevailing and established technologies such as web services, SOA (Service Oriented architecture), virtualization, grid, and cluster computing, Cloud computing proved it to realize the dream of transforming computing as a utility to the customers. Applications developed at Platform as a Service level (Infrastructure as a Service and Software as a Service being the other two levels) face vendor lock-in issue as the proprietary and non-standard APIs offered by providers results in a lack of interoperability and portability among cloud providers. This paper reports on an experiment done to assess the difficulties encountered while porting an application that uses various SQL and NoSQL data stores, message queue service and blob storage of Microsoft Azure, Amazon Web services and Google Cloud platform among each other. The heterogeneity of the incompatible proprietary interfaces makes the porting a non-trivial task. Various problems faced during the portability of the application are discussed and a middleware solution approach to these problems is proposed in this paper.
Concluding Remarks on Chaotic Dynamics’ Forecasting

In this book, we compared different neural approaches in the forecasting of chaotic dynamics, which are well-known for their complex behaviors and the difficulty of their prediction. Our analysis shows that the LSTM predictor trained without teacher forcing is the most accurate approach in the forecasting of complex oscillatory time series. This predictor always provides the best accuracy in all the considered tasks, spanning a wide range of complexity and noise sources. It also demonstrates the ability to adapt to other domains with similar features without a relevant decrease of accuracy. The comparison with the real system used as predictor in a noisy environment is particularly interesting: even the complete knowledge of the system structure does not allow perfect predictions when the initial conditions are only approximately known. This allows the border between time series forecasting and system identification problems to be clearly defined.
Blockchain and the “Smart-Ification” of Governance

In this chapter, we discuss how blockchain provides the “last” building block necessary to enable an almost fully decentralised, distributed and automated smart economy to emerge. To see this, we first introduce an evolutionary-institutional perspective on the economy as a complex evolving network of rules for production, exchange and governance. We then introduce the argument that pre-existing smart technologies – robotics, artificial intelligence, the internet of things and platforms – have the effect of decentralising, distributing and automating this network structure primarily at the levels of production and exchange. We then introduce blockchain as an institutional technology that enables a new kind of governance for internet-based socioeconomic platforms. We discuss how this provides the last “building block” that allows for the near-complete decentralisation, distribution and automation of economic systems through the application of smart technologies by enabling smart governance. We conclude by discussing how a new kind of economics must emerge to understand such systems, one that integrates institutional cryptoeconomics into the core of an evolutionary-institutional perspective on economies as complex evolving networks of rules.
Recognition and separation of radar aliasing signals based on CNN and SVDD

The identification and separation of aliasing signals play a key role in radar electronic countermeasures. Due to the complex and diverse waveforms of radar radiator signals and the characteristics of rapid parameter changes, as well as the uncertainty of the aliasing types of unknown signals and the uncertainty of signal composition, the identification and separation of radar aliasing signals are facing challenges. In response to the above challenges, a recognition architecture based on Convolutional Neural Network (CNN) and Support Vector Data Description (SVDD) was designed to identify and separate aliasing signals of unknown signal types. First, the CNN network extracts the features of the single-signal image and submits it to the SVDD classifier for training, so that the aliasing signal can be filtered from the unknown signal type (including the aliasing signal and the single signal). Secondly, we put the filtered aliasing signals into the CNN network for identification and classification to obtain the signal composition and aliasing type. Finally, according to the identified signal aliasing type and signal type, combined with MATLAB, different methods are selected to separate the aliasing signal. Simulation experiments prove that the recognition accuracy of this method is higher than that of traditional methods.
Case marking and forward and backward discourse function

The paper reports a corpus search and annotation study investigating the discourse functions of Differential Object Marking (DOM for short) in Turkish, which is manifested as optional accusative case on indefinite direct objects. Turkish DOM has been associated with specificity, presuppositionality and wide scope behavior with respect to other sentence operators. This sentence semantics has been related to different properties of discourse prominence: First to a backward discourse-linking function, where DOM-marked indefinites are indicated to have an antecedent in the discourse, without, however, there being a consensus on the type of the relation between the antecedent and the indefinite. Second, DOM in Turkish is also assumed to be related to forward direction in discourse under the general notion of being more likely to be talked about in the ensuing discourse. In order to test whether we can assign these two functions to case marking, we searched DOM tokens from a 21M corpus and annotated them with respect to categories relevant for both backward and forward discourse functions. Contrary to previous proposals and our assumptions regarding backward and forward linking, we did not observe any discourse function in either direction in our data set. We provide some arguments for why Turkish case marking does not show the discourse functions that are demonstrated for other languages.