Reviewerly/exHarmony huggingface dataset:
The Horizons of Otherness. Towards the 85th Anniversary of the Birth of Alfred Schnittke

Alfred Schnittke in his music had prognosed the future on numerous occasions. And one of his most important prognoses consisted in the increasing danger of the absorption of the human element by the cosmic. The paths of approaching towards modeling the processes of cosmization traversed through the ascention towards various types of abstractions and through the “globalization” of sound material. The fluids of cosmism are also clearly perceptible in the pantheistic pictures created by the composer. Stemming from such artistic solutions, the composer had frequently risen towards the heights of extratemporal categories, which undoubtedly marked his immersion into the sphere of cosmogony. As such, the transformation of earthly civilization into a cosmic otherness is presented with the greatest tangibility in two compositions. Schnittke’s electronic piece created by him on the famous “ANS” synthesizer which received the title of “The Stream” (1969) demonstrates the impendent situation of total absorption of all manifestations of the human element, making the music a sound-noise analogy of the matter of the universe, its enigmatic Something and Nothing and suggesting an apocalyptic feeling of the inevitability of global catastrophe. The examined issue received all-encompasing elaboration in the Second Symphony (1979), where in a metaphorical form the path of European civilization is traced out from its sources from Medieval times and up to its inevitable outcome in the hypothetic future by means of the transition of earthly matter into a certain cosmic dimension, which makes the present composition a manifest of the already begun process of metamorphosis of human existence into a dimly perceived otherness. Keywords: ideas of cosmism in the music of Alfred Schnittke, the Sceond Symphony of Schnittke, the electronic music of Schnittke.
Foreign education, culture and corruption - Determinants and consequences of global student flows between 1970 and 2015

Foreign education has been growing constantly for the past decades while research on it has remained scarce. Although research found that migration choices are determined in parts by cultural differences, no study investigated this relationship for foreign education. Therefore, this thesis studies how cultural differences influence bilateral student flows by using a gravity model. Similarly, the consequences of foreign education are scarcely identified, giving rise to the question if foreign education has an impact on the institutional setting of the origin coun-try. To answer this question, this thesis further studies the effect of foreign education on cor-ruption. Using a panel dataset of 206 origin and 157 destination countries over the period 1970-2015, it appears that cultural differences influence student flows positively, although the impact is declining over time. Further, foreign education has the potential to reduce corruption in the country of origin, depending on the corruption level of the destination countries. Simi-larly, the cultural values prevailing in the host countries are related with corruption in the origin country, supporting the hypothesis of this thesis that norms and values are adopted and transferred home. (Less)
The use of neural network technologies in solving the problem of evaluation and prognosis of oncologic diseases

Abstract The purpose of this work is neural network technologies in solving the problem of stratification of patients at the oncologic dispensary in order to optimize the treatment course and reduce the cost of its implementation. The material for the study is a sample containing data on the medical indicators of 77 patients with colorectal cancer. As a result of the use of artificial neural networks, it is planned to increase the efficiency of analysis of oncological research results and clinical data of patients.
OPTIMALISASI POTENSI  KARYA MAHASISWA MATA KULIAH GRAFIKA DKV MELALUI GALERI ONLINE

Graphic reproduction courses or printing methods are one of the courses that always exist in every college of Visual Communication Design in Indonesia, with this course students are expected to understand how the Final Artwork (FA) printing process is correct, the result is the quality of the design work Finally, students have met print-ready standards in accordance with the graphic industry standard so that it has the potential to be offered to the public at large as ready-to-use works, but unfortunately the student's work has only ended up in storage. This study aims to optimize the potential that exists in the final design work to be more widely useful. This study uses a qualitative method with a descriptive approach aimed at analyzing the quality of student design assignments in the Gafika Reproduction Method course, and creating an online gallery as a means of channeling existing design potential
Research and Implementation of Experimental Teaching Platform System Based on HTML5 Mobile

With the continuous progress of society and the rapid development of information, mobile terminal technology plays an important role in our life.Now the mobile terminal is an ultra-small computer system, which can realize rich functions and bring good teaching effects in classroom teaching and distance teaching.This paper realizes the interactive function of experimental teaching network through the design method of HTML5 in the mobile terminal.Realize the online interactive learning, experimental teaching and other functions of the platform.Html5 combined with DIV+CSS, dynamic web technology PHP, database MySQL, to achieve administrator authority division, information release, management, delete, interaction and other functions.HTML5 platform enables students to take the initiative in learning, and students, teachers and teaching resources achieve three-way interaction.
Challenges facing Academic Libraries in Supporting Webometrics Ranking of Universities in Kenya

Webometrics refers to the study of the quantitative aspects of the creation and usage of information resources, structures and technologies on the web drawing on bibliometric and infometric approaches. Across the world, libraries are committed to providing equal and rightful access to information. Therefore, libraries play a major role in influencing Webometrics ranking of universities across the world. Academic libraries influence Webometrics ranking through generation of scientific publications and other scholarly resources. Despite the remarkable success in Academic libraries’ influence on Webometrics ranking, there are a number of setbacks facing these libraries in the effective facilitation of Webometrics ranking. This study examined the challenges facing academic libraries in supporting Webometrics ranking of universities in Kenya. The study adopted a mixed research design. The researcher collected data from a representative sample of 30 % of the entire target population in University of Nairobi, Chuka University and Kirinyaga University. The selection of the three universities was based on the most recent Webometrics rankings. The respondents were drawn from library, ICT and research Departments. Primary data was collected through semi-structured questionnaires and interviews. The data was analysed using descriptive statistics that is frequency distribution tables to compute mean. The study established that Bureaucratic and connectivity barriers as well as substandard research and inadequate knowledge on Webometrics are the key challenges facing Kenyan academic libraries in supporting improved webometrics ranking. The findings of this study may be used by other institutions of higher learning on the mechanisms they can adopt to increase the capacities of their academic libraries so as to improve the contribution of these libraries to Webometrics and consequently to the overall ranking of the individual universities nationally and internationally. The findings may also help policy makers and policy implementers to effectively understand the challenges facing academic libraries in supporting Webometrics ranking of universities in Kenya and hence improve opportunities for upscaling Webometrics in academic institutions.
Identification of AR time‐series based on binary data

In this study, the authors consider the identification of auto-regressive (AR) models for time-series from one-bit quantised observation sequences. The only available information is the fact that the samples of the time-series are lower or higher than a threshold of quantisation. This threshold may be different from zero. An identification algorithm is presented and analysed. A recursive formulation is proposed, an extension for the identification of a non-linear time-series is also proposed.
Graph Neural Net-Based User Simulator

User Simulators are major tools that enable offline training of task-oriented dialogue systems. To efficiently utilize semantic dialog data and generate natural language utterances, user simulators based on neural network architectures are proposed. However, existing neural user simulators still rely on hand-crafted rules, which is difficult to ensure the effectiveness of feature extraction. This paper proposes the Graph Neural Net-based User Simulator (GUS), which constructs semantic graphs from the corpus and uses them to build Graph Convolutional Network (GCN) to extract feature vectors. We tested our model on examined public dataset and also made conversation with real human directly to verify the effectiveness. Experimental results show GUS significantly outperforms several state-of-the-art user simulators.
Improving evaluative judgement: Countering the Lake Wobegon effect

Evaluative judgement is the ability to objectively evaluate the quality of one's own work. This is an important metacognitive skill for students and graduates. The tendency of inexperienced people to over-estimate their ability is called illusory superiority, which is also called the Lake Wobegon effect, after the fictional town where all the children are above average, or the Kruger-Dunning effect, after the Ig Nobel Prize winners. In this study, students were rewarded if their self-evaluation was consistent with the evaluation of an academic marker. It was found that self-evaluations were consistent with markers' evaluations when a binary (achived / not-achieved) marking scheme was used. For multi-mark, non-binary marking schemes, students would eventually recalibrate their self-evaluations over a few assessment cycles.
Semiconductor-Superconductor Quantum Optoelectronics

Various applications in the rapidly growing field of quantum information science require reliable and effective quantum light sources. We proposed an efficient approach for generation of entangled photons, based on Cooper-pair luminescence in semiconductors, which does not require isolated emitters. Semiconductor quantum wells, remove the light-heavy-hole degeneracy, allowing efficient photon entanglement generation in simple electrically-driven structures, taking advantage of the superconducting macroscopic coherence [1]. We analyzed a new effect of enhanced light amplification in electrically-driven semiconductor-superconductor structures, including Cooper-pair based two-photon gain [2]. We also proposed a compact and highly-efficient scheme for a complete Bell-state analysis using two-photon absorption in a superconducting proximity region of a semiconductor avalanche photodiode [3]. This Cooper-pair based two-photon absorption results in a strong detection preference of a specified entangled state.
Factors Causing Low Participation of Natural Parents Stimulates the Ability of Early Reading of Children Natural Family

The background of this research is due to the phenomenon of not yet developing early reading skills in children. The purpose of this study is to find out factors that caused the lack of parental participation in stimulating The ability to read early children in families in the city of Padang. This study is descriptive quantitative study. The sample of this study is parents who have children aged 4-5 years old who live in Padang city. There are 20 people. Taking sample is used purposive random sampling techniques, that is parents of children who show symptoms of underdeveloped early reading skills. Data Collection uses interview techniques, with interview guidance tools, while for Data processing researchers use a percentage formula. The result of this study is that there were three dominant factors that led to a lack of parental participation in stimulating childrenâ€™s early reading abilities, there are (1) Parentâ€™ s lack understanding about the tasks and Functional of Paud institutions, (2) The limited time that parents have because they are must work to meet the familyâ€™s economic needs, (3) Limited sharing and characteristics of parents about The characteristic and learning styles of early childhood.
A Human-Machine Approach to Preserve Privacy in Image Analysis Crowdsourcing Tasks

Modern web information systems use machine learning models to provide personalized user services and experiences. However, machine learning models require annotated data for training, and creating annotated data is done through crowdsourcing tasks. The content used in annotation crowdsourcing tasks like medical records and images might contain some private information which can directly or indirectly identify an individual. The name, age, ethnicity, gender, contact details are examples of private information that directly identifies an individual. Indirect private information relates to the cultural, economic, and social factors of an individual. For instance, the visual cues of religious objects or symbols relate to the religious beliefs of an individual. In this thesis, we study how to minimize the amount of private information extracted from images using a hybrid algorithm which combines machine learning models and crowdsourcing. We also demonstrate that the proposed hybrid algorithm reduces the amount of private information exposed from the image and the cost of using the crowd for detecting private information in the image.
Blockchain in Consumer Goods: The Impact, the Challenges, and the Way Forward - Viewpoints on Innovation

The food and beverage industry is abuzz with talk of blockchain. But what's really going on in terms of benefits and risks? How should companies move forward?
Shape Context Stereo Matching Method Based on Texture Features

In binocular vision measurement systems, image matching is an indispensable part. However, in the measurement of simple workpieces, due to the high similarity of the workpiece edges and the complicated distribution, it is often difficult to match. The traditional shape context matching algorithm only considers the position distribution of contour points, ignoring its own gradient features, which not only causes a high mismatch rate, but also is computationally complex and takes a long time. Therefore, based on the texture features at the edge contour points and the joint polar line constraint, an improved shape context matching algorithm is proposed. On the one hand, the DLBP (Double Local Binary Pattern) texture feature weight value is introduced, and the edge point gradient information is used to make the algorithm more robust to noise and illumination changes, and reduce the mismatch rate. On the other hand, by combining the polar constraint, the search space is limited to a small rectangular frame, which reduces the computational time and further reduces the mismatch rate. Finally, the effectiveness and practicability of the proposed algorithm are demonstrated by experiments.
Challenging the robustness of OGD de-identification rules through a hackathon

With the emergence of the notion of “open innovation”, public organisations are currently undergoing a transformation process. Particularly driven by the idea of open government, the release of data that has been produced and financed by public funds has increased and with it, the risk associated to the publication of sensitive or personal information about citizens. Although the diffusion of open government data (OGD) might be beneficial for the private sector, the disclosure of such data might engender several risks, which could affect an individual’s privacy. In order to avoid this issue, governments worldwide have started to protect the privacy of individuals by applying de-identification rules. However, de-identification is not risk-free. If the de-identified data does not provide sufficient robustness, re-identification (or re-construction) of personal information is possible. In this paper, we describe a practical approach to examine OGD de-identification rules.
Cybersecurity - a state-of-the-art-review

The NCTV (Nationaal Coordinator Terrorismebestrijding en Veiligheid – ‘National Coordinator for Security and Counterterrorism’) partners with government, science and business in order to both protect the Netherlands against threats that can disrupt society, and ensure that Dutch vital infrastructure is – and remains – safe.Digital transformation has reshaped our world and will continue to disrupt the status quo. While technology is a key driver for realising societal and economic benefits, it also brings about new security challenges. The government of the Netherlands, Dutch businesses, civil society and individuals currently face a range of prominent, emerging and resurgent cybersecurity risks and threats. As concluded in the Cyber Security Assessment Netherlands (CSAN) from the NCTV the country’s digital resilience continues to lag behind the growing cyber threat.RAND Europe examined the current state-of-the-art in cybersecurity. In this context, state-of-the-art refers to a snapshot overview of prominent risks, threats or policy issues in the field of cybersecurity, as well as issue areas that are perceived to be overlooked by the NCTV or the scientific community. The cybersecurity state-of-the-art review is divided into two phases:Phase 1 aims to perform an initial scan of the cybersecurity field in order to highlight prominent or underexposed issues that are perceived to warrant further attention from the NCTV;Phase 2 aims to investigate the research questions identified in Phase 1, and will be carried out through a separate study.The study only covers Phase 1 of this process. The overarching aim of this study is therefore to explore which current cybersecurity topics are relevant to be explored further through additional research in Phase 2.
Neural pattern classification reveals the temporal dynamics of competitive memory retrieval

Resolution of interference between competing memories is often critical for remembering. This study employed multivariate pattern analysis (MVPA) of electroencephalographic (EEG) data to investigate the temporal dynamics of retrieval competition and competition resolution. Competition between memories was created through the AB/AC interference paradigm. Memory retrieval of competitive AB and AC cue-associate word pairs was compared with non-competitive DE word pairs. Behavioural results showed worse memory performance for AC compared with DE word pairs, but comparable performance for AB and DE word pairs, revealing proactive without retroactive interference. Critically, the AB, AC and DE word pairs were encoded embedded in a movie with a distinct theme (first-person perspective of underwater, forest, and city environments). We trained classiﬁers to discriminate patterns of brain activity associated with the movies at encoding. The classiﬁers were later applied during memory retrieval to track memory reactivation. In an early cue time window, where only the word cue was presented (i.e. A or D), we observed classification performance for non-competitive retrieval, revealing target reactivation, but no classification for competitive retrieval, presumably due to the simultaneous reactivation of target and competitor memories. In a following probe time window, when participants were given a first-letter probe to retrieve the target word (i.e. B/C/E), we observed classification performance ~700 ms after probe onset for the competitive retrieval, revealing the time course of competition resolution. Importantly, classification accuracy in this late time window co-varied with memory performance, that is, with the resolution of proactive interference. This study offers novel insights into the time course of memory competition and competition resolution. (Less)
Ketidakadilan Gender Dalam Novel Kartini Karya Abidah El Khaleqy: Kajian Sastra Feminis Dan Relevansinya Sebagai Bahan Ajar Sastra Di SMP

The purpose of this research is: (1) describe the structure of Kartini’s novel by Abidah El Khalieqy, (2) describe gender injustice in Kartini’s novel novel by Abidah El Khalieqy on feminist literature study, and (3) describe the relevance of Abidah El Khalieqy’s novel Kartini literature as literary teaching material in Junior High School. The method used in this study is deskriptive qualitative, the research strategy used is a fixed case study. Data collection techniques are carried out by content analysis techniques, namely library research, data validtion techniques wthit triangulation teory. The data analysis technique used in this study in the method of reading semiotic models, manely heuristic and hermeneutic readings. The results of this study are: (1) the strukture of Kartini’s novel consists of themes of struggle, mixe flow, consisting of main character and several other figures, and has a cultural setting, time setting, and background, (2) gender injustice in Kartini’s novel by Abidah El Khalieqy’s work consists of gender and the marginalization, gender and subordination, gender and stereotypes, and gender and double burden, (3) the results relevan with liteary learning in Junior High School in KD 3.12 class VIII, literary criteria include three aspects, language, psychology and cultural background.
LibGuides: Media and Humanities: Skills and workshops

A collection of information resources and guidance for Journalism, Media and Humanities students
An Overview of User-Interactions in Exploratory Search: Theoretical Foundations, Techniques, and Research Issues

In the 21st century, an individual is enclosed with data plethora, which carries insights and knowledge. Though, to seek relevant objects, a user with uncertain information needs to opportunistically adopt several strategies, e.g., analytical search, search by analogy, etc, to aggregate the knowledge. These exploratory conversations are driven by focused-search and exploratory-browsing. In this paper, a critical study on various aspects of user-interactions in exploratory search is conducted, to trace the trends and the viability of the existing techniques and eventually to uncover the inherent limitations. It is evident that, despite the recent developments, a search task is mainly constrained due to 'insufficient means to specify user-search', 'inability to understand search-intent evolutions' and 'limited support for navigation towards unexplored-data'. The article assert that, proactive modelling of search-intents for automatic data exploration and visualisation are pivotal to deal highlighted issues and be a prospective trend to design the personalised data exploration techniques.