Reviewerly/exHarmony huggingface dataset:
Vitalising International Human Rights Law as Legal Authority: Freedom of Expression Enjoyed by Australian Public Servants and Article 19 of the International Covenant on Civil and Political Rights

Michaela Banerji was a Commonwealth public servant when she was fired for sending up to 9000 messages on the public platform twitter criticising her employer; Australia’s human rights record; politicians; and public servants. The tweets did not disclose Ms Banerji’s name or occupation and all (except for one) tweet was sent in Ms Banerji’s private time. In 2019, the High Court confirmed that Ms Banerji’s tweets were not protected by the implied freedom of political communication in the Australian Constitution. Ms Banerji is not alone in having her ability to communicate her political views limited by her employment with the Australian public service. All Commonwealth public servants are bound by a legal framework that curtails their ability to criticise government policies. This article argues that the current regime restricting political communication by public servants in Australia is excessive and is not consistent with Australia’s international obligations under article 19 of the International Covenant on Civil and Political Rights.
Relationship between Online Social Media (OSM) Usage and Attitude towards Entrepreneurial Communication in Saudi Arabia

This paper examines the relationship between the Online Social Media (OSM) usage and the attitude towards entrepreneurial communication within the context of Saudi Arabia. This cross-sectional study adopts a quantitative approach using an online survey of 606 users. Data was collected from (a) Young entrepreneurs; (b) Incubatee entrepreneurs; and (c) School age aspirant entrepreneurs using an online survey with 270 men and 336 women participated in the survey. The analyses were executed using the partial least squares (PLS) approach. Findings suggest that Usage of OSM have a positive impact on attitude towards Entrepreneurial Communication. The impact can be classified into three major themes of improvement in; (a) self-confidence; (b) personal verbal communications; (c) expression of mind; resulting positive responses for business development. The gender was also found to be significant moderating variable which reveals variations on the degree of effect between males and females. To the best of our knowledge, earlier researches failed to provide empirical link between assimilation of social media and attitude towards entrepreneurial communication skills within the Saudi context, taking into account the moderation effect of among gender groups. One of the hallmarks of research finding is identification of OSM Apps as a candidate supplement for personal communication within the business environment, which opens the chance for future research to study this area of knowledge
How Realistically Can We Walk in a Virtual Reality Model? Empirical Study

The omni-directional treadmill, recently used in 3D computer games, facilitates users to walk indefinitely in a virtual world. This gives an opportunity to overcome the shortcomings of virtual reality rooms where the user can only move within a limited range. The omni-directional treadmill interprets the user's foot movement on a low fiction plate as a user walking. But since this cannot actually be the same as walking, we wonder how accurately the omni-directional treadmill can simulate our walking in a virtual world. This paper introduces our experiment in assessing how people perceive distance in a virtual world when they are walking through a 3D computer model using the omni-directional treadmill. We asked the participants to walk a certain distance in the virtual world using the omni-directional treadmill, and measured how accurately they performed our request. In our experiments, participants who were asked to walk a certain distance in the virtual world made four times more errors than when they walked in the real world. This paper presents how we performed the experiment and what we learned from it.
Overview of Available Learner Corpora

This chapter discusses issues around using existing learner corpora to conduct Second Language Acquisition (SLA) research, and provides an overview of several corpora available to SLA researchers online or upon request from corresponding authors. Accumulated knowledge and experience, coupled with advances in technology, mean there are now many learner corpora readily accessible either for a nominal fee or free of charge. Learner corpora are made available in different formats. The two most common types of annotation in available learner corpora are morpho-syntactic and error annotation. Some types of learner metadata of interest when conducting an SLA study, such as the age of the learners, language learning biography, length of input, and stays abroad, are not consistently reported in the currently available learner corpora. As more language researchers discover the benefits of corpus approaches, there are more learner corpora being constructed and made available, with increases in number and variation in type.
Rank-Level Fusion of Random Indexing, Word Embedding, and TF-IDF-Based Rankings for Clinical Document Retrieval

The amount of clinical data present with medical professionals is growing at a high rate. The data may be collected from clinical records, Internet, social media, and medical books to mention a few. This vast amount of voluminous structured and unstructured clinical data is often tedious to search and analyze. Clinical document retrieval is intended for quick access to the required clinical documents by a staff, patient, doctor, nurse, or any other person in authority. Hence, it becomes paramount to develop a system to search data/document in the medical repositories for efficient and quick analysis of a patient case that may require instant attention. The users of such a system may pose several queries and expect retrieval of relevant clinical documents. The research work proposed in this paper is based on fusion of document retrieval results applied on several novel techniques. Novel technique of rank-level fusion for retrieval is applied on top of other retrieval techniques to obtain a decision of the final rank. The contribution and novelty of the present work are two-fold: firstly, we propose to use two new techniques for clinical document retrieval viz. Random indexing-based retrieval and GLOVE representation-based retrieval. Secondly, we perform the proposed technique of rank-level fusion over the results obtained through various ranking techniques. The fused rank helps in decision making in the scenario that different ranks are produced by different algorithms used for retrieval. The results obtained using this novel approach show improvement over existing techniques.
Blockchain consensuses and incentives

As the core of a blockchain system, the consensus mechanism not only helps to maintain the consistency of nodes&apos; data but also gets involved in issuance of tokens and prevention of attacks. Since the first blockchain system was born in 2009, it has been continuously improved with the development of the blockchain technology and evolved into multiple new branches. Starting with the basic introduction of the consensus and the classic Byzantine Generals Problem in distributed computing area, this chapter proposes a thorough classification of current consensus protocols in blockchain system, enumerates the characteristics of mainstream protocols (proof-of-work (PoW), proof-of-stake (PoS), delegated PoS (DPoS), practical Byzantine fault tolerance (PBFT), etc.) and analyzes the strengths and weaknesses of them. Then we compare the performances of them from the number of nodes to the degree of scalability and other aspects. In the end, we introduce the incentive mechanism in the design of a consensus and summarize the future directions of developing more practical consensus schemes.
Misclassification Detection via Class Augmentation

Despite the impressive performance in various pattern recognition tasks, deep neural networks (DNNs) are typically overconfident in their predictions, making it difficult to determine whether a test example is misclassified. In this paper, we propose a simple yet effective method of class augmentation (classAug) to address the challenge of misclassification detection in DNNs. Specifically, we increase the number of classes during training by assigning new classes to the samples generated using between-class interpolation. In spite of the simplicity, extensive experiments demonstrate that the misclassification detection performance of DNNs can be significantly improved by seeing more generated pseudo-classes during training. Additionally, we observe that DNNs trained with classAug are more robust on out-of-distribution examples and better calibrated. Finally, as a general regularization strategy, classAug can also enhance the original classification accuracy and few-shot learning performance.
Pengelolaan Dokumen Untuk Tertib Administrasi Pelayanan Pada Posyandu Kasih Ibu XII, RW 12 Kelurahan Bojongsari, Kecamatan Bojongsari-Kota Depok

Partners in community service activities are the Posyandu Kasih Ibu XII cadres, Bojongsari Kelurahan RW 12, Bojongsari Subdistrict, Depok City. The main problem faced by partners is the limited ability of human resources possessed by Posyandu cadres, especially related to the management of documents both pre -service, at the time of service delivery and post-service. Documents / documents / document archives have not been well organized, only relying on initiatives from cadres who are indeed composed of PKK (Family Welfare Empowerment) organizers who have concern to provide services to Posyandu activities. The method of implementing PKM activities is planned to begin by providing PKM activities. lecture and counseling to the Posyandu Kasih Ibu XII cadres in Bojongsari RW. 12. Then use the demonstration method and practice / simulation which is a follow-up activity carried out by the PKM implementers on the lecture and discussion activities that have been carried out. The results of this activity are Posyandu cadres who understand and understand and can practice document management so as to create effectiveness and efficiency of service to residents, especially toddlers, pregnant and breastfeeding mothers Keywords: Document Management, Administration, Services, Posyandu
Information Technology for Constructing Individual Educational Trajectories Based on Latent-Semantic Analysis of Motivational Letters and Professional Achievements of Students

The article considers the possibility of constructing of individual educational trajectories by students, the significance of self-determining the way of self-development. The construction of individual educational trajectory is reduced to the problems of analyzing students' motivation and determining academic disciplines which will constitute the variable part of student's individual curriculum. Students' motivations were analyzed by the applying content analysis to students ' motivational letters. As a result, the data on students’ priority fields of knowledge and activity directions were obtained.Determination of academic disciplines is carried out on the basis of Latent semantic analysis (LSA). The results of the content analysis of the students' motivational letters, the results of the students' career focus survey and the results of tests on students’ current knowledge levels are the input of the LSA. The output of Latent semantic analysis is a list of knowledge areas relevant for the student’s profession. Ontologies of subject areas are built based on the list of knowledge areas. Ontology of subject areas is proposed to be built in the form ofa thesaurus, describing the categorically-conceptual apparatus of the subject area.Determination of the key words of the subject area topics chosen by the student is carried out by using the Latent Dirichlet allocation. Defined keywords are the criteria for selecting the disciplines which will constitute the student's individual curriculum. Approbation of proposed information technology has shown its reliability.
Identification of Pedestrians Attributes Based on Multi-Class Multi-Label Classification using Convolutional Neural Network (CNN)

The usage of computer vision in identifying pedestrians attributes has received a great attention, especially in the visual surveillance systems. For instance, searching for system based on the attributes. Attributes Identification using Convolutional Neural Network architecture is presented in this article, since  the architecture can perform feature learning. CNN consist of convolution layer, ReLU, Pooling, and Fully-connected. There are three experiment scenarios are conducted based on the number of convolution layers, to determine the effect of layers on CNN performance. Three different CNN architectures were trained and tested using a PETA dataset with 35 attributes. The highest accuracy achieved is 75.66% based on number of convolutional layers. The conducted experiments showed that more numbers of convolution layers used would produce the better CNN's performance.
Diretrizes para o uso das redes sociais pelas instituições arquivísticas brasileiras

The research presents guidelines for the use of social networks by Brazilian public archives, characterizing the need for a specific team to create content on social networks, to plan, to assess the performance in relation to the objectives, besides publicizing the indicators achieved with sharing, comments and interactions of the posts of each virtual social network.Keywords: archivistic institution; information mediation; social networks; network theory.
A Secure Method for Managing Data in Cloud Storage using Deduplication and Enhanced Fuzzy Based Intrusion Detection Framework

Cloud services increase data availability so as to offer flawless service to the client. Because of increasing data availability, more redundancies and more memory space are required to store such data. Cloud computing requires essential storage and efficient protection for all types of data. With the amount of data produced seeing an exponential increase with time, storing the replicated data contents is inevitable. Hence, using storage optimization approaches becomes an important pre-requisite for enormous storage domains like cloud storage. Data deduplication is the technique which compresses the data by eliminating the replicated copies of similar data and it is widely utilized in cloud storage to conserve bandwidth and minimize the storage space. Despite the data deduplication eliminates data redundancy and data replication; it likewise presents significant data privacy and security problems for the end-user. Considering this, in this work, a novel security-based deduplication model is proposed to reduce a hash value of a given file size and provide additional security for cloud storage. In proposed method the hash value of a given file is reduced employing Distributed Storage Hash Algorithm (DSHA) and to provide security the file is encrypted by using an Improved Blowfish Encryption Algorithm (IBEA). This framework also proposes the enhanced fuzzy based intrusion detection system (EFIDS) by defining rules for the major attacks, thereby alert the system automatically. Finally the combination of data exclusion and security encryption technique allows cloud users to effectively manage their cloud storage by avoiding repeated data encroachment. It also saves bandwidth and alerts the system from attackers. The results of experiments reveal that the discussed algorithm yields improved throughput and bytes saved per second in comparison with other chunking algorithms.
Wearable fingertip sensor for measuring contact force using the amount of finger width deformation

In this paper, we introduce a novel wearable sensor that can measure contact force applied to fingertip. The sensor measures the amount of finger width deformation by attaching a tactile sensor to the fingernail side. That is, because the proposed sensor does not cover the palm side of fingertip, sensing can be performed without impairing the feel of the fingertip of the person wearing. Through several experiments, it was confirmed that the fingertip force could be obtained as relative values. Moreover, the applicability to motion classification was confirmed using the drawing problem as an example.
EFEKTIVITAS PEMBELAJARAN BAHASA INDONESIA DENGAN METODE LOMPAT CERDAS BAGI SISWA KELAS 6 MI MA’ARIF NU 2 SANGGREMAN

Learning Indonesian is often taken lightly by students. Students in learning are not very enthusiastic, but in fact when the implementation of the test results have not reached the expected target. This is certainly a special concern for teachers to foster student interest, especially in class 6 MI Ma'arif NU 2 Sanggreman. The ideal step is to present effective and enjoyable Indonesian learning, especially because Grade 6 is facing a national exam so it must master Indonesian language learning materials well. The implementation of this research uses a qualitative method that presents and analyzes data descriptively. Data collection methods use observation, interviews, and documentation. Data analysis uses Miles and Hubberman data analysis. The results of the study, while being evaluated by carrying out frog jumps, the result is the number of students who can take part in Indonesian language learning activities that look active as much as 80%. From these results it can be concluded that the implementation of Indonesian language learning using the smart jump method is effective because in it there is quality of learning, suitability, intensive, and time.
Solving Nonograms Using Integer Programming Without Coloring

In this article, a new integer linear programming (ILP) formulation is presented for nonogram/crucipixel/paint-by-number puzzles, which involve coloring cells in a grid according to provided clues about how many cells in each row and column ought to be colored. Compared to prior ILP formulations, this new formulation involves far fewer constraints and decision variables. This new formulation was implemented in the modeling language GAMS; this implementation was found in many instances to approximately halve the CPU time required to identify a solution compared to prior ILP-based approaches. Multicolored nonograms are also permitted in this formulation. Counterintuitively, the new formulation does not make direct reference to cell colors at all, unlike typical by-hand approaches for solving simple instances. A new method is also presented to check the uniqueness of a nonogram solution, again without direct reference to cell colors, by employing a result by Besicovitch concerning integer linear independence.
The soprano saxophone adapted to different tone generators in comparison to prototype instruments

The purpose of this project was to investigate the extent to which a prototype wind-instrument resonator could be equipped with various tone generators to meet basic expectations of Western music practice in terms of range, tonal balance, and intonation. Sound generators from a Renaissance cornett, a bassoon, a Chinese bawu, and an Armenian duduk were adapted to a soprano saxophone body to test this. Further, the saxophone was performed as a rim flute by blowing against the neck, and an extended didjeridu adapter was crafted as well. The adaptations were tested against the original instruments by comparing single tone recordings throughout the range of the instruments. The test criteria were the breadth of tonal range, achievable intonation accuracy, dynamic range, and the constancy of the frequency spectrum. Some of the variations, like the bawu-reed adaptation, were easy to play; others, like the cornett, required years of practice. It was possible to play each adapted instrument in tune throughout the range of the prototypical instrument from which the tone-generator was taken. The tonal spectra were generally between those of the original instruments, which provided the tone generator, and the spectrum of the soprano saxophone, which lent the body.
Trade secret protection for data

This chapter delves into the analysis whether data (data sets) may be eligible for trade secret protection under the EU Trade Secrets Directive. The requirements for a trade secret definition (a subject matter, secrecy, economic value and reasonable steps taken by a trade secret holder) are scrutinized with a particular focus on the special features related to data. The chapter further analyses the implications of trade secret protection for the data economy, in particular as regards the exercise of the rights of the data subjects such as the right to access personal data, the right to data portability and the right not to be subject to solely automated decision-making. Furthermore, the chapter digs deeper into the scope of trade secret protection and discusses reverse engineering in the context of AI technology. Finally, the chapter analyses whether pecuniary compensation, as foreseen in the EU Trade Secrets Directive, might serve as a compulsory licensing.
The concept of party

This chapter considers the concept of ‘party’ in civil proceedings from both a European legal philosophy standpoint and a practical one. It distinguishes between the capacity of a person to possess a substantive right and the capacity to litigate in their own name. Consideration of whether non-humans may be parties looks at the possibility of animals as parties or as being represented in a collective capacity. The issue of whether artificially intelligent machines might be parties to civil litigation is also discussed.
Teacher Roles Used In English Classroom Interaction

This research aims at finding out Teacher Roles and describe how teacher roles applied in English classroom interaction. A descriptive qualitative design used in this study. The data were collected by observing and recording of the three English teachers’ roles and all of their students from three classrooms at SMP Muhammadiyah 1 Medan. The data analyzed based on Harmer & Brown theory. The findings of this study showed the first teacher applied the eight teacher’s role completely in teaching and learning process. The second teacher also applied the eight roles of teacher. The third teacher didn’t apply teacher’s role maximally because she missed the role of teacher as assessor in teaching and learning process. It can be concluded that generally teaching and learning process of English subject in SMP Muhammadiyah 1 Medan was active or interesting learning. In addition, the three teachers maximally applied the teacher Roles in class.
A Distributed Artificial Intelligence

Artificial Intelligence (AI) techniques have gained considerable attention, with growing interest in various areas and applications. The backbone of an AI-based application is its capability to support a distributed architecture and environment. AI- and IoT-based health care systems require complex learning, planning, and decision making due to large-scale computation and spatial distribution of computing resources. Distributed AI solves this problem by distributing the task to autonomous processing nodes also called agents. This chapter focuses on the history of AI, challenges of AI, and the necessity of integration with a distributed computing environment. Distributed Artificial Intelligence (DAI) relies on multiagent systems to distribute problem-solving over a set of autonomous processing nodes. Finally, an application of DAI in order to deliver effective solutions to real-time problems is offered.