Reviewerly/exHarmony huggingface dataset:
Uso de Control parental para la navegación en internet en niños y adolescentes

Internet is a very productive tool, if it is used properly, but it also brings multiple risks and threats that affect to children and adolescents. This generates the question: How to control the risks faced by children and adolescents in the network, in an effective way, through parental control tools, in the city of Manizales? To answer this question a research is developed, divided in two phases. The first phase is to review the risks to which children and adolescents are exposed online, including conducting surveys applied in Manizales. The second phase will analyze parental control tools, along with experts’ recommendations in order to propose a parental control protocol and a supporting tool, according to city’s characteristics. In this paper are presented the results of the first phase of the research, providing relevant information for researchers in the area and for the community in general.
Secure Handover Management Against False Base Station Attacks

False Base Stations attack raises concerns about data privacy during handover process in 5G networks. Broadcasting of measurement reports unveils the need of security assessment since a false base station can send a stronger signal to the User Equipment (UE) to establish a connection with itself. This may cause to the leakage of information. Thus, a fundamental solution is to protect measurement reports with encryption algorithms. In this paper, we identify the security vulnerabilities of handover process and simulate a scenario, where a false base station is deployed and UEs can be connected it during handover process. In order to prevent this, we propose a secure handover scheme to protect measurement reports by using two encryption algorithms; (i) Advanced Encryption Algorithm (AES)-256, and (ii) Rivest Cipher 4 (RC4) Algorithm. Then, we analyze the computation time and show the secure connection to a legitimate base station during handover process.
Pars-HaO: Hate and Offensive Language Detection on Persian Tweets Using Machine Learning and Deep Learning

&lt;p&gt;As social networks continue to gain widespread popularity, an urgent requirement arises to automatically identify and detect offensive language and hate speech. While there is a wealth of research and datasets available for English in this domain, there is currently a scarcity of research and datasets focused on identifying hate speech and offensive language in Persian text. This article introduces a 3-class dataset named Pars-HaO, consisting of 8013 tweets, to fill the gap in existing research. We collected the dataset by combining comments from pages that are more exposed to hate speech and using a keyword-based approach. Three annotators then labeled the tweets. In this study, we employed a combination of the Convolutional Neural Network (CNN) model and four widely recognized machine learning models, namely Support Vector Machine (SVM) and Logistic Regression (LR), Random Forest (RF), and Decision Tree (DT) as a baseline. Then, we compared the base models with Long Short-Term Memory(LSTM), Bidirectional LSTM (BiLSTM), and CNN models, each trained using the output of the last hidden state of Bidirectional Encoder Representations from Transformers (BERT). Experimental results on the Pars HaO dataset demonstrated that the BERT with BiLSTM technique yielded the best outcome, achieving a macro F1-score of 70%. &lt;br&gt; &lt;/p&gt;
Semantic Textual Similarity: In Defense of Wordnet-Based Methods

Wordnets have long been used as a tool for evaluating the semantic similarity between short texts. In addition to being simpler than recent deep learning approaches, methods based on wordnets offer an important advantage: they deliver results that are easy to interpret as their decisions are usually taken by considering the proximity between graph nodes. In this work, we explore a lightweight approach based on a Portuguese wordnet to solve the ASSIN 2 Semantic Textual Similarity (STS) shared task. In this task, each object of a dataset consists of a pair of Portuguese sentences annotated with its semantic score and the goal is to learn an STS model to estimate the similarity value of new, previously unseen, sentence pairs. Experiments show that our results are competitive with state-of-the-art methods in terms of mean squared error.
Contextual stance classification using prompt engineering

This paper introduces a prompt-based method for few-shot learning addressing, as an application example, contextual stance classification, that is, the task of determining the attitude expressed by a given statement within a conversation thread with multiple points of view towards another statement. More specifically, we envisaged a method that uses the existing conversation thread (i.e., messages that are part of the test data) to create natural language prompts for few-shot learning with minimal reliance on training samples, whose preliminary results suggest that prompt engineering may be a competitive alternative to supervised methods both in terms of accuracy and development costs for the task at hand.
Moral rights in Japan - 'moral rights' of juridical persons?

The Japanese Copyright Act basically adheres to the droit d’auteur-system and provides for three moral rights (the right to make the work public, the right of paternity and the right of integrity). However, moral rights shall be vested in not only natural persons as human creators but also juridical persons under the Japanese Copyright Act, since the authorship of a work can be attributed to juridical persons under the Japanese work-for-hire system. Interestingly enough, there are many court cases in Japan where the Court upheld the claim for injunction and awarded damages for infringement of juridical persons’ moral rights to compensate for the “non-economic” loss. The purpose of this chapter is to introduce the unique “moral rights” in Japan and to consider the justification.
Moral rights and industrial design

In the intellectual property domain, one instinctively tends to associate the notion of “moral rights” with copyright, and especially with the (more clearly author-centric) legal framework associated with copyright in the countries of continental Europe. During the twentieth century, however, the need for protecting the personality interests of creators progressively exceeded the limited scope of copyright, and currently moral rights are no longer the exclusive prerogative of authors of copyrighted works, but are granted by some (primarily continental European) legislations even to certain creators of immaterial goods protected by an industrial property right. In this context, the sector of industrial design is rather unique, because it is significantly more heterogeneous than other areas of industrial property: it protects creations of a markedly, although not exclusively, functional nature, creations that are both functional and aesthetic, and even creations that are almost exclusively aesthetic. The considerable heterogeneity of this conceptual category makes it significantly more complex, compared to other areas of industrial property, to provide a single response to the question of what should be the most appropriate level of protection for the designer’s personality. A further level of complexity is given by the fact that industrial design can be protected by either an ad hoc industrial property right (design right) and/or by copyright, posing problems of harmonization of the norms regarding moral rights of one or the other sector. In this chapter, the author examines in the first place the different scope of the paternity right applicable to industrial design protected by a design right, on the one hand, and by copyright, on the other hand, and the consequences of such overlapping protections. Second, the author examines how further moral rights granted to the author of a copyright-protected work of industrial design (right of integrity, right of disclosure and right of retraction) can be applied to largely functional work, such as works of industrial design. Third, finally, the author questions whether paternity right can also be recognized with respect to creations of industrial design made autonomously by AI systems.
Artificial intelligence and moral rights

Artificial intelligence is often a topic portrayed in science fiction due to the natural association one makes with the future. Throughout the years, because of such association, we have accepted and assumed that artificial intelligence is still a distant, inaccessible and mysterious technology. To some extent, that is indeed true for we have yet to interact with independent humanoids without being able to tell them apart from human beings. However, artificial intelligence is already widespread in everyday activities, sometimes invisible, recommending movies and books on Internet platforms, serving as personal assistants, or clearing up doubts through chatbots. Furthermore, artificial intelligence tools are already capable of creating intellectual works. Even though the degree of human interference needed is debatable in such creations, there is no denying that technology has been in constant development for years now, with increasingly admirable results. Recent examples include unprecedented elements, such as the high market value AI-generated artworks can achieve, and their connection with moral rights. The copyright theory, forged mainly between the eighteenth and nineteenth centuries, seems to endorse the need for one or more individuals as an author or authors of copyrightable works. Copyright encompasses economic and moral aspects. The former concerns the economic exploitation of the work, while the latter connects, to some extent, the work to the person responsible for the creation. One of the theories that justifies the existence of copyright comprehends that the works need protection because they are an emanation of their creators’ personality. Consequently, with the development of increasingly sophisticated AI tools, many of these assumptions are being called into question. If the work was created without the direct intervention of a human being, is there authorship? If there was intervention, how much of it would be necessary to postulate the existence of an author? Without an author, are there copyrights (economical or moral) to be protected? Without protection, would there be a disincentive to the creation of works by means of artificial intelligence? Considering that the present area of study is still under investigation and discussion, and that there are many other academic works that further delve into the subject, the authors of the present chapter seek to contribute to the ongoing debate by tackling some of the questions proposed above.
Counter accounts, accountability and governance

Counter accounts are alternative representations of the activities and impacts of organizations, industries or governance regimes. Often developed by activists or non-governmental organizations, their aim is to flag abuses of power and thereby rectify a state of affairs that is considered societally or ecologically harmful or otherwise undesirable. In this chapter, we examine extant counter-accounting research from the perspective of accountability and governance. Somewhat surprisingly, there appears to be fairly little research on these themes. The link between accountability and counter accounts is either ignored or taken for granted, whereas the notion of governance is hardly addressed. Much future research potential thus exists. We envisage opportunities for further enquiry that investigates these linkages in more depth. This is especially so since, considering the state our planet is in, counter accounts contesting the neoliberal hegemony and the misfortune it spawns are likely to increase in both number and form.
Lite-UNet: A Lightweight and Efcient Network for Cell Localization

&lt;p&gt;Cell localization constitutes a fundamental research domain within the realm of pathology image analysis, with its core objective being the precise identification of cell spatial coordinates. The task has always involved the challenge of large color variations among cells, uneven distribution, and overlapping borders. Furthermore, in realistic cell localization scenarios, the existing state-of-the-art methods suffer from high computational costs and slow inference times, which severely reduce the efficiency of computer-assisted. To tackle the above issues, a lightweight and efficient cell localization model named Lite-UNet is proposed. Specifically, the Lite-UNet encompasses three pivotal modules. Firstly, we introduce a gradient aggregation module grounded in difference convolution. This module effectively mitigates the challenge posed by extensive color variations among cells by adeptly leveraging gradient information. Secondly, we propose an efficient plug-and-play graph correlation attention module, which optimizes the feature representation capabilities by encoding higher-order feature associations. Finally, we design a lightweight Ghost\_CBAM module that alleviates the difficulty of uneven cell distribution while forming the base module of the Lite-UNet. Extensive experiments show that our Lite-UNet is capable of locating cells in images quickly and accurately, thus further improving the efficiency of computer-assisted medicine.&lt;/p&gt; &lt;p&gt;&lt;br&gt;&lt;/p&gt;
TEACHING ENGLISH GRAMMAR BY USING DEDUCTIVE METHOD THROUGH GROUP WORK

The objective of this research is undertaken to see whether the deductive method in teaching English grammar by using the group work technique has a positive effect on the academic achievement of the students of Dual System Class B at Politeknik ATI Makassar, expecially for students. Using deductive method with the help of group work played a positive role in improving the academic achievement of students who studying English at Dual System class. This method with the help of group work has improved the score Pre-test (60.9000) and Post-test (86.2000). This method also can improve students’ grammar in use, motivate students in learning grammar and as an effective method in teaching grammar. This research as also change what people think that deductive method often make the learners’ role rather passive as much of the attention is only focused on the teacher explaining the rules and showing the examples.
ENHANCING STUDENTS' WRITING PROFICIENCY THROUGH EXTENDED WRITING PROJECTS

English language proficiency is crucial in the global context as it serves as a medium to share ideas and information across nations. Recognizing the significance of English as an international language, the government of Indonesia has mandated English education from elementary school to university. Writing is one of the essential language skills that students must master, allowing them to express their feelings, opinions, and thoughts effectively. However, the study finds that many students lack interest and face challenges when it comes to writing. They struggle to generate ideas, choose appropriate topics, and organize their thoughts into coherent sentences. To address this issue, the researcher explores the implementation of the Extended Writing Project (EWP) method as a potential solution to improve students' writing proficiency. The research employs a pre-experimental method with a one-group pretest-posttest design to assess the effectiveness of the EWP method. The study is conducted at SMA Negeri 1 Polewali during the 2016/2017 academic year, with 24 students from one of the tenth-grade classes chosen as the sample through cluster random sampling. Throughout the research, the researcher guides students in proposing their own topics or selecting from a provided list, creating preliminary outlines, and clustering or listing ideas before organizing them into paragraphs. The EWP method emphasizes revision and editing, encouraging students to make multiple drafts and take responsibility for improving linguistic correctness. The results demonstrate a significant improvement in students' writing ability after the application of the EWP method. Notably, improvements are observed in content, organization, vocabulary, language use, and mechanics. Students show enhanced coherence, relevance, and use of appropriate words, leading to better-organized paragraphs and improved language correctness. In conclusion, the Extended Writing Project method proves to be effective in enhancing students' writing skills in descriptive texts at SMA Negeri 1 Polewali. The method encourages students to take ownership of their writing process, resulting in significant progress in their writing abilities. To overcome challenges related to limited vocabulary, the use of dictionaries with active vocabulary-building activities is suggested. This research contributes valuable insights to the field of English language teaching and offers a potential solution to enhance students' writing proficiency in Indonesian schools.
“Cognitive Computing of Visual and Auditory Information”: State of the Art

Artificial intelligence enables machines to understand, think, and learn like people, namely to simulate human intelligence with computers. It is a very broad field and generally speaking, mainly covers cognition and reasoning (including various physical and social common sense), computer vision, natural language understanding and communication (including auditory sense), machine learning, and other subjects. Therefore, the cognitive computing of visual and auditory information is an important research topic in artificial intelligence. Understanding human audio-visual cognition and establishing a computable audio-visual cognitive model have great inspiration for the core algorithm of artificial intelligence. The layout of the NSFC is very forward-looking.
A dependency-based study of medicine package inserts in Brazilian Portuguese

This paper reports on a study of medicine package inserts (MPIs) aimed at verifying to what extent texts addressing patients evidence different morphosyntactic patterns from those addressing HC professionals. To that end, we draw on a corpus of sentences manually retrieved and aligned, which were annotated for dependency syntax following the UD guidelines. Results point to clear distinctive patterns in both sets of MPIs, which are in line with guidelines on simplified language for Brazilian Portuguese.
Policy analysis education in Korea

This chapter provides an overview of the status of policy analysis education in Korea in light of both the development of policy studies and the national need that has driven the development of the discipline of public administration and public policy. The traditionally management-focused education for public administration and public policy in Korean universities resulted in their policy education curricula to focus on policy formation rather than empirical policy analysis. The curricular is also connected to the national function of field education that helps prepare students to pass the national exam to become a civic service employee. Accordingly, relatively few economic and statistical courses have aimed to train students to conduct empirical policy analysis. In the future, strengthened education for empirical public policy analysis, as well as courses on public values and ethical considerations in policy analysis, will be helpful to enhance the students’ ability to analyze policy.
Beyond Authority and Governance in Israel during the COVID-19 Pandemic: A Crumbling of Solidarity and the Rise of Social Inequalities

At the beginning of February 2020, the first cases of COVID-19 infection were detected in Israel. As the number of confirmed patients increased, movement and activity restrictions were imposed on the public. While stopping the spread of the virus and almost eradicating the pandemic, the results were short-lived. The reappearance of the pandemic revealed not only the fragility of the human body but also exposed a weakening of solidarity in Israeli society. This chapter describes the weakening of the value of solidarity in Israeli society as it manifested during the pandemic. The authors claim that this phenomenon played an important role in deepening existing social inequalities. It is suggested that while the refusal to carry the costs required to stop the spreading of the pandemic affected the entire population, it had a greater impact on disadvantaged and vulnerable sectors (for example, the elderly, the disabled, low socioeconomic status individuals, women and victims of domestic violence), thus exacerbating social inequalities. The aim of this chapter is to examine the role of the Israeli law governance in responding to the pandemic by looking into and scrutinizing the protocols of meetings of various committees in the Israeli parliament that discussed the public health restrictions.
National Assembly committees and support organisations

This chapter studies the committee system of the National Assembly focusing on the activities and contents of the standing committee. First, the composition and current status of the standing committees and subcommittees, as well as their powers and functions, are reviewed. The chapter evaluates the contents of the standing committee’s bill review, budget review and petition review, and discusses the functions and roles of the standing committee-centred Korean committee system. Next, the chapter examines legislative support bodies including the National Assembly Secretariat (NAS), the National Assembly Research Service (NARS), the National Assembly Budget Office (NABO) and the National Assembly Library (NAL). Lastly, the chapter reviews the National Assembly Legislative Investigation Office and the National Assembly Budget Policy Office, which perform the legislative investigation and budget audit functions.
An introduction to policy analysis in Korea

Policy analysis was introduced to Korea in the late 1970s as part of policy studies. Since then, however, it is policy evaluation rather than policy analysis that has developed rapidly and become widespread. Therefore, understanding policy analysis in Korea cannot be complete without looking into policy evaluation. This chapter examines the overall state of policy analysis in Korea and offers a set of suggestions for its future development.
Proof-of-Concept: Conceptual design and realisation of an educational augmented reality (AR) application for anaesthesia induction

Abstract Increasing patient safety during operations is an inevitable topic in anaesthesiology. The cockpit strategy presented by Vogelsang et al. addresses this issue with elements such as closed loop communication and the use of checklists. In this paper, the use of checklists is taken up further. An AR application is presented that augments checklists for anaesthesia induction into the user’s field of view. The application is to be implemented in teaching and help prospective physicians to internalise the workflows in anaesthesiology more quickly and sustainably. A working prototype has been created and loaded onto the HoloLens 2. The prototype is being assessed and evaluated by an anaesthetist. The feedback will be included into the following development steps. The application will be further adapted to the needs and requirements of the users. In order to evaluate the usability and the user experience, students and medical professionals should test and evaluate the application repeatedly.