Reviewerly/exHarmony huggingface dataset:
КОНЦЕПЦИЯ «СРЕДНЕЙ СИЛЫ» (MIDDLE POWER) ВО ВНЕШНЕЙ ПОЛИТИКЕ РЕСПУБЛИКИ КОРЕЯ: ТЕОРИЯ И ПРАКТИКА

As a result of the Post-Cold War development, the international relations have shifted from bipolarism to a multipolarism. Once relevant Western-born IR theories lack explanatory power. Current IR witness the growing role of the non-Western states both in regional and international domains. Consequently, there is a growing need for appropriate IR theories that could explain the changing world structure, describe the role of new powers in international politics and define future development. Thus, it is essential to study non-Western research that focuses on conceptualization of ongoing processes from its perspective. The authors analyze the IR theories developed by South Korean scholars. The purpose of this article is to analyze South Korean interpretations of the middlepowermanship that considers the Republic of Korea’s unique regional and global context. South Korean scholars agree on a particular geostrategic location of the state. The geopolitical location, absence of natural resources and limited military power hinder South Korea’s ability to use hard power in regional and international politics. However, South Korea’s economic development and creative approach in foreign policy translate into middle power diplomacy, which includes niche diplomacy, moderating role in relations between greater powers, regional cooperation promotion, and development of the international legal system. The authors conclude that South Korean version of middle power theory is continuously being (re) interpreted and adapted to the country’s foreign policy. South Korea is to be a a bridge between the great powers in the region.
Seasonal Performance Assessment of Various PV Technologies in a Desert Climate through Device Simulations and Outdoor Measurements

The authors acknowledge the support of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia; the KAUST Economic development for their technical support and Saudi Aramco R&D Center -Carbon Management Division for their financial support through grant RGC#3893.
Improving Fraud Control in Small Banks using Dynamic Object-based Separation of Duties

Conflicts arise when the execution of two or more tasks by a person creates a vulnerability which when exploited could threaten a business and its goals.These threats could lead to a severe loss of corporate resources and in some cases result in the collapse of businesses.This paper discusses the issue of implementing separation of duty within an information system to deal with conflicting tasks.It examined the issue of separation of duty within small banks and their efforts to prevent fraud.The paper argues that separation of duty in these organisations is not effective and can be compounded by the use of mechanisms like job rotation.It focuses on object-based separation of duty and its possible use in small firms.It proposes the introduction of elements of the Chinese wall security policy and its derivatives to introduce granularity into the implementation of object-based separation of duty.
Analisis Perbandingan Prestasi Belajar Mata Kuliah Ilmu Gizi Mahasiswa STIKES Banyuwangi Berdasarkan Jalur Penerimaan Mahasiswa Baru

This descriptive study examined (1) to obtained description learning achievement of students received through PMDK and Reguler pathways on Diploma of Nursing and Diploma of Midewifery for Nutrition of Sciences's subject at STIKES Banyuwangi; (2) to determine the differences between learning achievement of students received through PMDK and Reguler pathways on Diploma of Nursing and Diploma of Midewifery at STIKES Banyuwangi. A documentation technique of 82 students was recruited from diploma of nursing and diploma of midwifery with year entry on 2015 at STIKES Banyuwangi. Descriptive statistics and inferential statistics were utilized to analyse the data. Result of research analysis showed that the learning achievement of Diploma Nursing and Midewifery Department’s Students of STIKES Banyuwangi received in year 2015 through PMDK were averagely of 3,00 and dominated by students who have learning achievement with satisfactory category; learning achievement of Diploma Nursing and Midewifery Department’s students of STIKES Banyuwangi received through Reguler pathways were averagely 2.89 and dominated by students who have learning achievement with satisfactory categories. The study found that learning achievement throught PMDK Diploma of Nursing and diploma of Midewifery averagely of 3,00 and dominated by satisfactory category; while learning achievement by reguler averagely 2.89 and dominated by satisfactory category; based on the testing of hypothesis, this study there were not differences between learning achievement of students received through PMDK and Reguler pathways on Diploma of Nursing and Diploma of Midewifery for Nutrition of Sciences's subject at STIKES Banyuwangi.
Error Controlled Actor-Critic Method to Reinforcement Learning

In the reinforcement learning (RL) algorithms which incorporate function approximation methods, the approximation error of value function inevitably cause overestimation phenomenon and have a negative impact on the convergence of the algorithms. To mitigate the negative effects of approximation error, we propose a new actor-critic algorithm called Error Controlled Actor-critic which ensures confining the approximation error in value function. In this paper, we firstly present an analysis of how the approximation error can hinder the optimization process of actor-critic methods. Then, we *derive an upper boundary of the approximation error of Q function approximator, and found that the error can be lowered by placing restrictions on the KL-divergence between every two consecutive policies during the training phase of the policy.* The results of experiments on a range of continuous control tasks from OpenAI gym suite demonstrate that the proposed actor-critic algorithm apparently reduces the approximation error and significantly outperforms other model-free RL algorithms.
Pal-GAN: Palette-conditioned Generative Adversarial Networks

Recent advances in Generative Adversarial Networks (GANs) have shown great progress on a large variety of tasks. A common technique used to yield greater diversity of samples is conditioning on class labels. Conditioning on high-dimensional structured or unstructured information has also been shown to improve generation results, e.g. Image-to-Image translation. The conditioning information is provided in the form of human annotations, which can be expensive and difficult to obtain in cases where domain knowledge experts are needed. In this paper, we present an alternative: conditioning on low-dimensional structured information that can be automatically extracted from the input without the need for human annotators. Specifically, we propose a Palette-conditioned Generative Adversarial Network (Pal-GAN), an architecture-agnostic model that conditions on both a colour palette and a segmentation mask for high quality image synthesis. We show improvements on conditional consistency, intersection-over-union, and Fréchet inception distance scores. Additionally, we show that sampling colour palettes significantly changes the style of the generated images.
Entrepreneurship and Sustainable Development Among Selected Entrepreneurs/Small Scale Businesses in Ijebu-Ode Local Government Area, Ogun State, Nigeria

The study investigates entrepreneurship and sustainable development among selected entrepreneurs/small scale businesses at Ijebu-Ode Local Government Area, Ogun State. Survey research design was adopted for this research. Primary source of data was used in carrying out this study. One hundred and four (104) completely filled and returned questionnaires as the sample size of this research study. The data collected were tested using SSPS Software Version and analysed using descriptive statistics, multiple regression and correlation coefficients which reveal that the overall regression model is fit. The finding indicates that there is significant relationship effect of opportunity-based entrepreneurship on sustainable development in Nigeria which suggests the notion that sustainable development is influenced by 86.9% of opportunity-based entrepreneurship as reported by hypothesis one. The study concluded that regarding general macroeconomic and microeconomic policies, government has roles to encourage entrepreneurship, enhance pro-poor growth and poverty reduction through international trade, taxation, government expenditure, inflation control, infrastructure, education, health, viability of the legal system, and financial deepening. The study therefore recommends among others that development of entrepreneurial skills married with excellent knowledge of information and communication technology (ICT) as additional key to technological and entrepreneurial development is important.
STUDI KOMPARASI BITMAP DAN VEKTOR TERHADAP KUALITAS DIGITAL ART: CASE STUDY DEVIANTART NABHAN DAN PIXELJEFF1995

Abstract:                In contrast to bitmaps, vector images do not lose resolution when enlarged, because all image elements are determined precisely by the parameters that characterize the outline which also plays a role in filling out the outline. Therefore, in any definition the elements in a vector image can be seen as infinite accuracy. Even with such image switches, the file size remains constant. Vector formats are usually used to store images, graphics, or diagrams. Bitmap and vector applications are equally important for digital artists. Understanding operations in addition to combining and matching existing techniques allows the exploitation of digital creativity to its full potential.
LibGuides: Special Education : Open Access

All information and Knowledge about special education open access resources and journals and databases
Blockchain: Post-Quantum Security & Legal Economics

Blockchain technology is subject to security vulnerabilities resulting from recent developments in quantum computing and cryptography. All the while, the technical complexities of blockchain’s peer-to-peer system require the intervention of third-party intermediaries to facilitate financial transactions across blockchain networks. Current legal scholarship describes blockchain technology as a peer-to-peer system without a central authority, supporting the secure decentralization of economies and financial markets. Yet, with consideration to recent advancements in quantum computing, blockchain technology is not secure. Further, the technology’s legality is subject to the will of the central authorities whose economic systems it seeks to decentralize. This article contributes the first post-quantum analysis of the intersection of blockchain security and law. Additionally, this is the first piece of legal scholarship to analyze the complex relationships between Congress, the Federal Reserve, and blockchain technology in the creation of money. In doing so, this article challenges conventional assumptions relating to blockchain technology’s decentralizing economic impact. Ultimately, this article takes an interdisciplinary approach, drawing on informatics, law, and economics scholarship, to argue blockchain fails to provide a legal or secure means of establishing a peer-to-peer payment system.
Not All Memories are Created Equal: Learning to Expire

Attention mechanisms have shown promising results in sequence modeling tasks that require long-term memory. Recent work has investigated mechanisms to reduce the computational cost of preserving and storing the memories. However, not all content in the past is equally important to remember. We propose Expire-Span, a method that learns to retain the most important information and expire the irrelevant information. This enables Transformers to scale to attend to tens of thousands of previous timesteps efficiently, as not all hidden states from previous timesteps are preserved. We demonstrate that Expire-Span can help models identify and retain critical information and show it can achieve state of the art results on long-context language modeling, reinforcement learning, and algorithmic tasks. Finally, we show that Expire-Span can scale to memories that are tens of thousands in size, which is helpful on incredibly long context tasks such as character-level PG-19 and a frame-by-frame moving objects task.
Research on quantum computing with logic gate

This essay summarizes some of the current investigation on quantum computing. It covers the quantum logic gates and the matrix form of them and some information about quantum computation.
Hybrid Rotation Averaging: A Globally Guaranteed Fast and Robust Rotation Averaging Approach

We address rotation averaging (RA) and its application to real-world 3D reconstruction. Local optimisation based approaches are the defacto choice, though they only guarantee a local optimum. Global optimizers ensure global optimality in low noise conditions, but they are inefficient and may easily deviate under the influence of outliers or elevated noise levels. We push the envelope of rotation averaging by leveraging the advantages of global RA method and local RA method. Combined with a fast view graph filtering as preprocessing, the proposed hybrid approach is robust to outliers. We apply the proposed hybrid rotation averaging approach to incremental Structure from Motion (SfM) by adding the resulting global rotations as regularizers to bundle adjustment. Overall, we demonstrate high practicality of the proposed method as bad camera poses are effectively corrected and drift is reduced.
The Limits of Liberal Inclusivity: How Defining Islamophobia Normalises Anti-Muslim Racism

Responding to recent calls made within UK Parliament for a government-backed definition of Islamophobia, this article considers the unanticipated consequences of such proposals. I argue that, considered in the context of related efforts to regulate hate speech, the formulation and implementation of a government-sponsored definition will generate unforeseen harms for the Muslim community. To the extent that such a definition will fail to address the government’s role in propagating Islamophobia through ill-considered legislation that conflates Islamist discourse with hate speech, the concept of a government-backed definition of Islamophobia appears hypocritical and untenable. Alongside opposing government attempts to define Islamophobia (and Islam), I argue that advocacy efforts should instead focus on disambiguating government counter-terrorism initiatives from the government management of controversies within Islam. Instead of repeating the mistakes of the governmental adoption of the IHRA definition of antisemitism by promoting a new definition of Islamophobia, we ought to learn from this error. We should resist the gratuitous securitization of Muslim communities, rather than use such definitions to normalize compliance with the surveillance state.
The postdigital challenge of pandemic education

This paper briefly introduces key theoretical underpinnings of the postdigital perspective Based on synthesis of 56 articles on the Covid-19 pandemic published in Postdigital Science and Education, 2, issue 3, and a selection of related articles, it distils the main themes, problems, approaches, and solutions identified in postdigital literature The paper classifies identified themes into three large groups: lived experiences and their responses, politics, and philosophy It identifies connections between research in these different, often incommensurable areas, and points towards postdigital and postdisciplinary nature of the Covid-19 pandemic The paper brings these insights together in the concept of viral modernity, explores its theoretical and practical limitations, and develops recommendations for postdigital research in the age of Covid-19 It concludes that it is our duty as educators to move beyond edu-techno-problems and edu-tecno-fixes characteristic for mainstream journals and research approaches, and to address human problems in their entirety © 2020 Association of Slovenian Educationalists All rights reserved
AI and Big Data Convergence

Most of the techniques from Artificial Intelligence, in particular the ones belonging to machine learning, need as much data as possible to obtain more robust and accurate models trained by means of algorithms that use data samples to adjust the model parameters. As an example, a model based on deep neural networks has millions of parameters (named as weights) whose values are progressively updated by the Error-Backpropagation algorithm that visits iteratively all the samples of the training data set. Mr. Cukier explained that the researchers from Stanford University used thousands of samples of cancerous breast cells and the patients’ survival rates to train a machine-learning model, and defined the goal function of the learning algorithm to identify patterns in the attributes of input data that best correlate with the goal of predicting if a given biopsy will be severely cancerous. The obtained machine-learning model identified eleven attributes that best predict that a biopsy is highly cancerous. What surprised researchers was that only eight of the elevent attributes were previously known by doctors and studied in medical literature. As Stanford researchers included in the experiment all the attributes of input data, without instructing the learning algorithm which ones to use, the outcome as that three of the attributes (or indicators) found by the machine-learning algorithm were not considered as relevant by medical community; pathologists never focused their attention on such indicators. As Mr. Cuckier remarked is that machine learning works because the learning algorithm is fed with lots of data—much more information than any human being could digest in a lifetime and manage at any moment
REPRESENTASI KEBUTUHAN PENGGUNA MENGGUNAKAN PENDEKATAN USER PERSONA

The use of software developed in accordance with the needs of users who represent the activities of its activities from the beginning to the details of the changes. The HCI model is the right method needed in software development, which is to produce the right system from the beginning when it is done. One of them is by using persona technique which is the mainstay of the HCI method, used to facilitate the process of gathering data and arranging hypotheses in determining decisions or results of a study conducted according to the NITRD in its report entitled Human-Computer Interaction and Information Management Needs for Research in the future that visionary, Human-Computer Interaction (HCI) and Information Management (IM) that are empowered human-computer. This shows the need for humans to talk with computers. This research was conducted to increase the elicitation of the need for problems using the concept of user persona. The author chose the user technique from Cooper to be a qualitative model, in which in retrieving data can be represented by only one trusted source. Resource data is processed by joint analysis of hypotheses that have been made. The data obtained is more accurate and clearer in accordance with the limited number of sources.
SHARING BEST PRACTICE PENDIRIAN DAN PENGELOLAAN LEMBAGA KURSUS BAHASA JERMAN HABIBIE EDUCATION YOUTH DI KOTA BATAM

Abstract:This work was aimed to build understanding on the process of founding and managing a language course particularly a German Course Habibie Education Youth in Batam City. In this work, a qualitative approach was used as it recorded and analysed the result of interview with the owner of the language course describing the start up to the stage of developing and the way sustaining  the business. From this sharing best practice, this resulted in three essential points, first, it needed a sharp foresight to find such an opportunity and made it aligned to the market need. Second, Innovation on service not only offering on what’s needed but also providing something beyond that could be imagined by the prospective customer. Third, resolving resource scarcity as a form of eagerness in business and maximising network as social capital in accelerating business development
Evaluation of the M-orchestrate app for scaffolding pupils' collaborative science inquiry during COVID-19

This article reports on an evaluation study of enhancing pupils' science learning with the collaborative inquiry-based learning model, namely, WeEngage, WeCollect, WeAnalyse, WeExplain and WeReflect as a scaffold embedded in the m-Orchestrate app for students to conduct their online collaborative science inquiry An evaluation study was conducted to understand students' perceptions on using the m-Orchestrate app for collaborative science inquiry during COVID-19 Copyright © 2020 Asia-Pacific Society for Computers in Education
PHONOTACTIC SYLLABIFICATION SYSTEMS OF ENGLISH AND AMHARIC LANGUAGES AND A CASE FOR LANGUAGE OF AFRICAN UNION FOR AFRICA

Phonotactics sets rules for proficiency in language usage, especially in English Language, (a foreign language) and Amharic an African Language. This study sets out to analyse the phonotactic presence and similarities in their syllabic systems, for possibility of Amharic emerging as a language of African Union to replace English language during summits and international conferences, albeit as a starter. Many linguists, especially the Nigerian nobel laureate Prof. Wole Soyinka have suggested other African languages like Swahili. This is an effort to prevent our indigenous knowledge from going into extinction. The justification for suggesting Amharic here is the natural and originality of the Geez feedel or script form where Amharic alphabetic system was developed. It is indigenous to Africa, with its origin in Axum, Ethiopia. Amharic shares some linguistic features of sounds like vowel sonority with English language and it is easy for anyone with proficiency in English to understand the Amharic sounds articulation and their acostic allophonic references. The exploration of this unfamiliar terrain is worthy of consideration as a policy innovation for cultural and linguistic emancipation. The objective therefore is to contribute to the current trends in innovation in the area of language development in African continents. It is one of our own indigenous languages, widely spoken and its origin is African. This may be a starting point in solving the problem of colonial albatross that slows down development in Africa, where colonial languages are used for instructions in schools and in research. The researchers used scripts developed online; Wikipedia, books, personal contacts and information from the indigenous people of Ethiopia. These were selected through purposive research design. Syllabification Theory, Chomsky’s Theory of transfer and Contrastive Analysis were used for the study. Findings revealed that the similarity of sounds of English and Amharic makes it easy to understand the syllabification system of Amharic conforms with the composite structure of English and most world languages that combine consonants and vowels sounds.  The tone and rhythmic patterns of the suprasegmental features add greater value to its musical cadences, especially when children speak during Amharic language lessons. It is therefore recommended that since Amharic language, based on our findings is suitable as a possible language of African Union. Language policy makers in Africa sub regions can organize a pan-African conference to debate the possibility and implementation. By this, it will continue to spread from Ethiopia to the rest of African nations and its sub-regions as an African linguistic identity.
Is it time for automatic voter registration in the UK

Ahead of each UK election, there is a rush to get people registered to vote, and confusion about who is already registered. In a new report Toby James and Paul Bernal set out how to improve the system while protecting data privacy, through automatic or assisted voter registration, and so widen access to democratic participation.