Reviewerly/exHarmony huggingface dataset:
Principles of quantum functional testing

With increasing commercial availability of quantum information processing devices the need for testing them efficiently for their specified functionality will arise. Complete quantum channel characterization is out of the question for anything more than the simplest quantum channels for one or two qubits. Quantum functional testing leads to a decision problem with outcomes corresponding to rejection or acceptance of the claim of the producer that the device parameters are within certain specifications. In this context, we introduce and analyse three ingredients that can speed up this decision problem: iteration of the channel, efficient decision criteria, and non-greedy adaptive experimental design.
Modeling of the Acute Lymphoblastic Leukemia Detection by Convolutional Neural Networks (CNNs)

Background: The techniques differed in many of the literature on the detection of Acute Lymphocytic Leukemia from the blood smear pictures, as the cases of infection in the world and the Kingdom of Saudi Arabia were increasing and the causes of this disease were not known, especially for children, which is a serious and fatal disease. Objective: Through this work we seek to contribute to discover the blood cells affected by Acute Lymphocytic Leukem and to find an effective and fast method and to have the correct diagnosis as the time factor is important in the diagnosis and the initiation of treatment. which is based on one of the deep learning techniques that specialize in very deep networks, the use of one of the CNNs is VGG16. Methods: Detection scheme is implemented by pre-processing, feature extraction, model building, fine tuning method, classification are executed. By using VGG16 pre-trained, and using SVM and MLP classification algorithms in Machine Learning. Results: Our results are evaluated based on criteria, such as Accuracy, Precision, Recall, and F1-Score. The accuracy results for SVM classifier MLP of 77% accuracy at 0.001 learning rate and the accuracy for SVM classifier 75% at 0.005 learning rate. Whereas, the best accuracy result for VGG16 model was 92.27% at 0.003 learning rate. The best validation accuracy result was 85.62% at 0.001 learning rate.
AI trick speeds up multiplication

A new way to perform “matrix multiplication”, discovered by a DeepMind artificial intelligence, could boost a range of computing tasks, reports Matthew Sparkes
Robot visions

The success of text-to-image AIs raises major ethical issues, from the data sets they are trained on to the lack of compensation for artists, says Annalee Newitz
Persepsi Siswa Dalam Pembelajaran Bahasa Inggris Secara Daring Menggunakan Platform Google

This study aims to determine the student’s perception of effectiveness Google platform in online learning in English for student grade XI. The Google platform comes from belajar.id it is an account launched by the Ministry of Education and Culture and Information Technology Centre for support the learning process as long as online learning. In addition, this research also aims for the quality of online learning in learning English that has been carried out during the covid-19 pandemic. The research method used is quantitative with a survey method. The samples of this study is 30 students. Data collection using the method survey with a likert scale. Data analysis by calculating the percentage of data on each indicator, then from the presentation of the data an analysis is carried out descriptively on each indicator. The results showed that the effectiveness of online learning in English in Covid-19 pandemic situation at SMA Muhammadiyah Tanah Grogot. The results of this study are also expected to be a recommendation for applications that can be used in learning English subjects during the pandemic and as study material for further research related to the effectiveness of online learning.
SoCRATe: A Recommendation System with Limited-Availability Items

We demonstrate SoCRATe, an online system dedicated to providing adaptive recommendations to users when items have limited availability. SoCRATe is relevant to several real-world applications, among which movie and task recommendations. SoCRATe has several appealing features: (i) watching users as they consume recommendations and accounting for user feedback in refining recommendations in the next round; (ii) implementing loss compensation strategies to make up for sub-optimal recommendations, in terms of accuracy, when items have limited availability; (iii) deciding when to re-generate recommendations on a need-based fashion. SoCRATe accommodates real users as well as simulated users to enable testing multiple recommendation choice models. To frame evaluation, SoCRATe introduces a new set of measures that capture recommendation accuracy, user satisfaction and item consumption over time. All these features make SoCRATe unique and able to adapt recommendations to user preferences in a resource-limited setting. A video of SoCRATe is available at https://youtu.be/4wlaScc_rUo.
SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher

The Neo4j query language Cypher enables efficient querying for graphs and has become the most popular graph database language. Due to its complexities, semantic parsing (similar to Text-to-SQL) that translates natural language queries to Cypher becomes highly desirable. We propose the first Text-to-CQL dataset, SpCQL, which contains one Neo4j graph database, 10,000 manually annotated natural language queries and the matching Cypher queries (CQL). Correspondingly, based on this dataset, we define a new semantic parsing task Text-to-CQL. The Text-to-CQL task differs from the traditional Text-to-SQL task due to CQL being more flexible and versatile, especially for schema queries, which brings precedented challenges for the translation process. Although current SOTA Text-to-SQL models utilize SQL schema and contents, they do not scale up to large-scale graph databases. Besides, due to the absence of the primary and foreign keys in Cypher, which are essential for the multi-table Text-to-SQL task, existing Text-to-SQL models are rendered ineffective in this new task and have to be adapted to work. We propose three baselines based on the Seq2Seq framework and conduct experiments on the SpCQL dataset. The experiments yield undesirable results for existing models, hence pressing for subsequent research that considers the characteristics of SQL. The dataset is available at https://github.com/Guoaibo/Text-to-CQL.
Book review: D. J. Chalmers, Reality+: Virtual Worlds and the Problems of Philosophy

양자역학(개체의 비실체성, 비인과성, 중첩, 파동함수)이 멀티버스를 이야기하고 양자공학(반도체, 레이저, GPS)이 메타버스의 실현에 큰 기여를 하는 시대에 소위 “가상현실”은 이미 확장된 실재가 되고 있다. 차머스는 그의 저서에서 〈실재가 아니면 환상이나 망상〉이라 여겨 왔던 실재와 비실재의 이분법을 벗어나 그 사이에 또 하나의 범주를 삽입한 삼분법에 기대어 〈가상세계가 확장된 실재의 부분〉이라는 명제를 제시하고 있다. 양자역학 이전의 세계와 이후의 세계가 달라진 것은 가상세계가 점점 더 현실에 개입하면서 확장된 세계는 전에 없었던 철학적 문제들의 제기로 분명해진다. 로봇 도우미에 의식성을 부여할 수밖에 없는 모의세계에서 인간의 정체성이나 동일성의 주제는 깊이 살펴야 하는 것처럼 일상 사회에서의 로봇에 새로운 자리매김을 해야하게 되었다. 전통적인 철학 주제들, 존재와 인식과 가치의 성격을 새롭게 조명해야하는 것이다. 차머스의 책은 여러 가지 아쉬움과 남은 난제에도 불구하고 확장된 세계의 시대에 철학의 새로운 과제를 제시하고 있다. At the time in which quantum mechanics (lack of individual substance, non-causality, superposition, wave function) engages in talks of multiverses and quantum technologies (semiconductor, laser, GPS) helps to realize a concept of metaverse, the so-called ‘virtual life’ has become the extend reality. Chalmers in his book rejects a dichotomy of reality and illusion and consctructs a trichotomy by adding virtuality in order to offer a proposition that a virtual world is a part of the extended reality. The author sees new philosophical challenges in this new reality. For an example, as we are bound to allow some form of consciousness to a robot in a context of simulation there are questions of status of personal agency or personal identity. Traditional subjects of ontology, knowledge, and value come to us as new challenges. Despite difficulties in discussions of some topics, the author leads us to see a new horizon of possible philosophical debates for a new reality.
A Study of Schiller’s Concept of Play Drive

이 논문은 유희충동 개념을 중심으로 실러의 미적 자유 이론이 갖는 정치철학적 함의를 탐구한다. 그 전제는 실러의 ｢인간의 미적 교육에 관한 편지｣가 미학을 매개로 한 정치적 주체에 대한 예비론이라는 사실이다. 그는 미학적 근본 개념들을 주관주의적, 미학적으로 다루는 것을 넘어 인간학적이고 정치적인 차원으로 확장하였기 때문이다. 우선 우리는 유희와 충동 각각에 대한 실러의 이해, 그리고 유희충동 개념 등을 차례로 탐색하면서, 유희충동이 결국 미적 자유에 대한 실러 고유의 표현임을 밝힐 것이다. 그리고 유희충동 개념이 주체 이론에 대하여 갖는 의미를 도출한 뒤, 이로부터 실러 미학의 정치철학적 성격을 해명하고자 한다. 실러의 유희충동은 감성과 이성이라는 인간의 두 본성 간의 균형으로부터 산출되는 제3의 충동, 혹은 균형 산출의 활동 자체로서, 미적 경험 속에서 비로소 활성화된다. 현실 속에서 인간은 두 본성 가운데 하나의 압도적 우세에 의해 지배되지만, 미적 경험 속에서 그와 같은 지배는 일시적으로나마 해소된다. 유희충동은 인간의 이중적 본성이 각자 고유의 논리에 따라 서로로부터 자유롭게 전개될 수 있는 상태를 가리키는 말이자, 동시에 인간이 자신을 지배하던 충동들로부터 자유로워지는 상태를 가리키는 말이다. 따라서 유희충동 속의 미적 주체는 탈중심적이고 탈주관적인 성격을 갖는다. 미적 주체는 실천적으로 무능력하기에 현실 정치에 곧바로 개입할 수 없지만, 바로 이 무능력 속에서 정치적 실천을 위해 준비되어 있다. 그것은 미적 경험을 통해 지배로부터의 해방을 경험하고, 지배 아닌 다른 관계의 능력을 연습하기 때문이다. 이런 의미에서 미적 주체의 자유는 현실을 지배하는 기존 질서에 대한 잠재적 저항이다. 그러나 이런 독해가 곧 미학의 도구화를 뜻하는 것은 아니다. 정치 또한 총체성의 미적 이념을 실현하기 위한 수단이다. 미학과 정치는 서로를 지시하고 서로를 요구하지만 여전히 이질적이다. This study aims to investigate the political-philosophical implications of Schiller’s theory of aesthetic freedom focusing on the concept of play drive. It is assumed that Schiller’s “Letters on the Aesthetic Education of Man” is a propaedeutic to the political subject by means of aesthetics, because he has expanded the basic aesthetic concepts beyond the subjective-aesthetic boundary to the anthropological and political level. First, Schiller’s own understanding of play and drive, and the concept of play drive will be examined. It becomes clear that the play drive is Schiller’s own expression of aesthetic freedom. And after the meaning of the concept of play drive for the subject theory has been derived, the political-philosophical character of Schiller’s aesthetics should be explained from it. Schiller’s play drive is the third drive produced from the balance between the two human natures of sensibility and reason, or the balancing act itself, and is only activated in aesthetic experience. In reality, humans are dominated by the overwhelming dominance of one of the two natures, but in aesthetic experience this dominance is temporarily dissolved. The play drive refers to the state in whice the dual nature of human beings can be developed according to their own logic while being free from each other, and it refers to the state in which human beings are freed from the drives that have dominated them. Therefore, the aesthetic subject in the play drive has a decentralized and desubjectivated character. Although the aesthetic subject cannot practically intervene in real politics in a direct sense, it is prepared for it in an indirect sense. This is because it is liberated from domination through aesthetic experience and practices the faculties power of relationship rather than domination. In this sence, the freedom of the aesthetic subject is a potential resistance to the existing order that dominates reality. However, this reading does not claim that aesthetics by Schiller is instrumentalized for politics. Politics is also a means to realize aesthetic idea of human totality. Aesthetics and politics point to and demand each other, but are still heterogeneous.
Estimation of Breast Cancer with a Combined Feature Selection Algorithm

Image features are considered as a parametric factor that contains some of the specific information about the given image. In simple terms, a feature can be either a size or resolution or color information of an image. From the observed feature, a computer system can predict the nature of the image same as that of a human’s perception. In the beginning, the image processing algorithms utilized the features of the image only for the preprocessing and segmentation kinds of applications. An information regarding the noise ratio is considered for the preprocessing work to estimate the amount of smoothness needed to be given to the image. Similarly, the contrast difference or color difference features are widely employed by the segmentation algorithms. The proposed work aims to prove the efficacy of features on breast cancer image classification process using a multilayer perceptron algorithm. An experimental study is conducted on CBIS-DDSM dataset to estimate the importance of local and global features on breast cancer images.
Research on the Cultivation Mechanism of "Five Integrations " Oriented to Industrial Demand

In recent years, with regard to the training of engineering talents, the phenomenon that theoretical knowledge and practical skills can not be well combined has become increasingly prominent, and it is urgent to reform and innovate the training mode and standards of engineering talents. At the same time, the reform of training mode should adhere to the development needs and problem-driven of national talents. This paper intends to study the training standards of new engineering talents, take coping with changes and shaping the future as the construction concept, take inheritance and innovation, cross-integration, coordination and sharing as the main ways, take training high-quality engineering and technical applied talents in the field of artificial intelligence as the goal, take the development needs of modern industry as the guidance, and combine with the discipline characteristics of the school. This paper studies the innovative construction mode of "Intelligent Science and Technology" specialty, and explores the establishment of "five integrations" training mechanism of enterprises and universities integration, science and education integration, universities integration, three-innovation integration and disciplines integration.
Study on the Construction Mode of Curriculum System of Intelligent Science and Technology under the New Engineering Discipline

With the rapid development of the field of artificial intelligence, China is paying more and more attention to the cultivation of professional talents related to artificial intelligence. As an emerging cross-cutting discipline, our university has built a curriculum system for the major of intelligent science and technology, which is a collaborative platform of "industry, science, education and innovation" for the training of talents for new industries and new engineering disciplines. It also provides reference and inspiration for other majors in our university to implement the new engineering construction.
Dimensional analysis: the great principle of similitude

"Dimensional analysis: the great principle of similitude." Contemporary Physics, ahead-of-print(ahead-of-print), p. 1
A Song about the Horrible Ptuj Plague or How the Slovenian Electronic Archives Contributes to Historical Research

On the example of the Virtual Archival Reading room and free access to digitized manuscripts from the Historical Archives in Ptuj, which are located in the Slovenian Electronic Archive (e-ARH.si), the experience of the historian (PhD student) is presented when determining the authenticity and credibility of archival sources whose content influenced the setting of the hypothesis in the article about the plague epidemic in the Zagreb area in 1682-1682. The aforementioned digitized material is compared with relevant sources in the Digital Library of Slovenia, an egdotic analysis is carried out and the importance of a free and holistic approach to digitized material in discovering the historical context and building a complete historical story is presented.
Analysis of Media Literacy Among Students of the Journalism Training Program

In modern society, the issues of media literacy seem to be especially relevant due to the spread of fake information and unverified news.Analysis of the level of media literacy as a competence of future journalists seems to be a promising area of scientific and practical research.This is especially true, since journalists are both authors and consumers of information.Based on the analysis of scientific and pedagogical literature, the concept of media literacy is analyzed.As the main methods, a pedagogical experiment and a mass questionnaire are used.To achieve the goal of the study, the authors conducted a mass questionnaire survey to determine the level of media literacy of the first and fourth year students of the Journalism Training Program at Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk, Russian Federation).The survey included three parts: media consumption habits, behavior as an author, and media trust.The survey was supplemented by a pedagogical experiment: students were asked to identify fake and real news.Only four of the seven proposed texts and two of the fake news were identified correctly by the students.As a result, the authors came to the conclusion that a special education in the field of journalism and initial experience in the media sphere does not guarantee a high level of media literacy.
EDITORIAL A common commitment

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Pengembangan Bahan Ajar Buku Cerita Rakyat Bergambar Berbasis Aplikasi Canva Untuk Meningkatkan Hasil Belajar Peserta Didik Kelas IV Sekolah Dasar

The purpose of this study was to develop, determine user responses and determine the effectiveness of teaching materials for illustrated folklore books based on the Canva application in improving student learning outcomes. The type of research used is development research. The research model used is the ADDIE model. The type of data used is quantitative and qualitative data using instruments in the form of interviews, questionnaires, and questions. Based on the results of the study, it was concluded that the teaching materials that had been developed were suitable to be used as teaching materials in class IV Indonesian language content for finding characters in fiction stories. The percentage of expert validation results is 82% from material and language expert validation, and 91% from design expert validation. The user's response is very good because the results of the fourth-grade teacher questionnaire analysis show the percentage of the attractiveness aspect is 94%, the material aspect is 75%, the language aspect is 88% and the story selection aspect is 94%. Meanwhile, for the responses from students, the attractiveness aspect is 83%, the material aspect is 86%, the language aspect is 82% and the story selection aspect is 82%. The teaching materials developed were effective in improving the learning outcomes of fourth-grade students at SD Negeri 111 Bengkulu Utara. This is based on the results of the t-test with = 2.1 &gt; = 2.0 then H0 is rejected and Ha is accepted.
North Korean View of the Nation and the People and the Change Patterns : Focus Group Interviews with North Korean Defectors

본 논문은 북한사회의 ‘국가/민족관’이라는 특정한 가치체계를 객관적으로 인식하고 예상 가능한 향후 남북 가치충돌의 영역 및 세부내용을 전망하는 것이 목적이다. 특정 사회의 가치관을 이해하는데 "국가/민족관"이라는 범주적 접근은 매우 중요한 의의를 갖는다. 북한주민의 국가와 민족에 대한 인식과 감정은 곧 개인의 문제가 아니라 남북한의 적대적인 분단체제에 토대를 두고 있는 가치충돌의 가장 핵심적인 영역을 미리 살펴볼 수 있다는 장점을 갖기 때문이다. 이를 위해 본 연구는 북한이탈주민을 대상으로 한 ‘초점집단면접(Focusing Group Interview: ‘FGI’)’ 방법을 통해 북한사회의 ‘국가/민족관’과 남북 가치충돌의 핵심 영역에 접근해보고자 했다. 연구결과를 살펴보면, 북한사회의 ‘국가/민족관’은 ‘국가로 수렴되는 민족’ 그리고 ‘충성스러운 인민과 헌신하는 국가’ 등의 원리로부터 절대적 국가관의 분열과 잊혀졌던 민족의식의 귀환으로 전개되었다. 나아가 ‘인민’에서 ‘국민’, 그리고 ‘시민’으로의 이행과정과 함께 북한이탈주민 스스로 보편적 권리의식과 시민성의 자각이 이뤄지고 있음을 발견하였다. 마지막으로 본 연구는 통일한반도의 형성과정에 있어서 반드시 고려해야 할 남북 가치충돌의 구체적인 양상 및 그 대안 모색과 관련된 후속연구의 방향성을 제안하고 있다. This study aims to recognize the specific value system of the view of the nation and the people of North Korean society in an objective manner and to predict the areas and details of the future conflict of values between the two Koreas. The categorical approach of the view of the nation and the people has significance in understanding the values of a particular society as it allows the investigation of the most essential areas of the conflict of values considering that North Koreans“ awareness and feelings about the nation and the people are based on the hostile relationship between the two Koreas, rather than individuals” problems. To this end, this study undertook focus group interviews (FGI) with North Korean defectors in order to approach the key areas of the view of the nation and the people the North Korean society and the conflict of values between South and North Korea. Consequently, the view of the nation and the people of North Korean society developed from the principles of “the people converging into the nation and the loyal people and the devoted country” to the division of the absolute nationalism and the return of the forgotten ethnocentrism. Furthermore, it was found that the North Korean defectors had been realizing their own rights and responsibilities as citizens while going through the transition process from “the North Korean people” to “the people” and “citizens.” Finally, this study suggests a direction for follow-up research on the specific aspects of the inter-Korean conflict of values and the exploration of alternatives, which must be included in the process of forming a unified Korean government.
Novel visualisation techniques to understand AIS data

The need to deal with an increasing amount of data and different data sources changes the way human beings process information. In this context, the visual transformation of data has tied up a considerable amount of resources in academia and practice. New ways of visualising high amounts of data have been proposed in recent years by visualisation researchers; however, their use is still scarce, particularly in managerial accounting. Thus, the aim of this contribution is to introduce important big data visualisations to the accounting community and lay out the benefits of big data visualisations as well as propose appropriate areas of applications. Visualisation types introduced a range of visualisations to display multiple hierarchies (sunburst, treemap, and Sankey visualisations), over the display of multiple attributes (box plot, heatmap, parallel coordinates plot, and scatterplot matrix) and datasets with multiple and large time-series data (interactive line chart, calendar visualisation, and horizon chart), to geographical visualisations (choropleth and map visualisation).
Technologies underpinning accounting information systems

For accounting information systems (AIS) to become the enabling and empowering tools they are expected to be, they require the technological infrastructure or ‘underpinnings’ that facilitate their smooth operation. Inadequate technologies underpinning AIS can burden the company with extra maintenance and data recovery costs and issues with data reliability, security and privacy. Thus, inadequate technology can potentially corrupt the very outcomes of an AIS, namely reports and decision-relevant information, leading to incorrect, unreliable decisions. In this chapter, the general relationship between AIS and technology is detailed. Networks are revealed as a necessary technological feature of AIS, and components that are aligned to build and run an AIS are discussed, namely hardware and software. Networks, hardware and software have to work together to provide a reliable basis for any AIS to perform and provide reports and decision-relevant information. Finally, the focus is moved to the emerging technologies of blockchain, the Internet of Things and artificial intelligence that have started to heavily impact AIS in recent years.