Reviewerly/exHarmony huggingface dataset:
Conceptual Principles of Creativity by Valentin Sylvestrov

The purpose of the article is to analyse the conceptual principles of V. Sylvestrovʼs work in the context of the philosophical concepts of G. Hegel, E. Husserl and the theory of intentionalism of culture and art. The research methodology is based on philosophical-analytical, cultural, musicological, and comparative analysis. This made it possible to objectify and determine the semantic content of the conceptual principles of V. Sylvestrovʼs work in the context of the fundamental foundations of these theories and the procedural existence of European culture in the intentional period of its formation. The scientific novelty of the work lies in the fact that, for the first time, the conceptual principles of V. Sylvestrovʼs work are defined and characterised at the transdisciplinary level. Conclusions. Phenomenology not only determines the semantic bases of the intentionalism of V. Sylvestrovʼs music, but also the conceptual principles of his work. The composer’s desire to express the essential level of the music itself is reflected in G. Hegel’s theses "to turn against the content that alone has held significance until now" and with the help of this "get the content in itself". And also in harmony with E. Husserlʼs slogan "Back to objects", which implies "returning to the things themselves", i.e. their phenomenological content. At the same time, the philosophical concepts of G. Hegel, E. Husserl and the conceptual principles of V. Sylvestrovʼs work are determined by the intentional reflection of culture, which in the final period of formation models the appropriate form of its existence and the existence of cultural and artistic phenomena. If phenomenology is a peculiar principle and form of expression of images in the music of V. Sylvestrov, then the pan-melodic principle appears as a way of such being. Therefore, phenomenology and the pan-melodic principle determine the semantic content of peripheral aspects, intro-retro-spections and compilations, and actually are the conceptual principles of Sylvestrovʼs work.&#x0D; Keywords: conceptual principles, phenomenology, pan-melodic beginning, V. Sylvestrov, philosophical concepts of G. Hegel and E. Husserl, the theory of intentionalism of culture and art.
Letters of Johann Jacob Ferber Geological descriptions of Slovenia from second half of 18th century

The two translations of letters by Johann Jacob Ferber (1743–1790), a Swedish geologist and mineralogist, who travelled through Slovenia in September 1771, are discussed. The first letter addressed to Ignaz von Born was published in the book »Briefe aus Wälschland über natürliche Merkwürdigkeiten dieses Landes an den Herausgeber derselben Ignatz Edlen von Born« published in Prague in 1773, and the second letter to Giovanni Arduino was published in the book »Raccolta di memorie chimico-mineralogiche, metallurgiche, e orittografiche« published in Venice in 1775. Both letters represent an Enlightenment scientific description of the geology of part of what is now Slovenia, based on the geological theories valid at the time. In the article, we provide brief biographies of the actors, translations of the two letters, their commentary and interpretation.
LIA-korpusa – eldre talemålsopptak for norsk og samisk gjort tilgjengelege

This paper presents the results from the project Language Infrastructure made Accessible (LIA) which had as its main goal to digitize and make accessible old recordings of spoken Norwegian and Sámi from various archives, first and foremost from the four partner institutions University of Oslo, University of Bergen, The Norwegian University of Science and Technology, and UiT The Arctic University of Norway. The infra­structures resulting from the project can be summarized as 1) a file depot of Norwegian dialect recordings, 2) three corpora of spoken Norwegian and one for North Sámi, 3) various language technology resources such as an openly available tree bank, a morphological taggar and a parser for Norwegian dialects, upgrading of the corpus interface Glossa and more. The paper exemplifies how the corpus can be utilized.
Deep clustering techniques based on autoencoders

This chapter presents the most popular deep clustering techniques based on Autoencoder architectures. From pioneering approaches such as Deep Embedding Network for Clustering (DEN) or Deep Embedded Clustering (DEN) to more contemporary methods such as Not to Deep (N2D), we not only aim to present these methods but also provide insights into the inventors’ intuition, along with a concise formalization of their innovative ideas.
The Role of Strategic Orientation on the Relationship Between Strategic Management and Organizational Performance in Jordan

The purpose of the study is to investigate how strategic orientation (SO) influences how well SME performance within Jordan is affected by strategic management (SM). To accomplish this research goal, a quantitative, cross-sectional methodology was chosen, and data among SME/Owner/Managers were collected once using a modified questionnaire. 156 responses were received and usable. The data was analyze via SmartPLS (PLS 4). The results of this study showed that an organization's strategic orientation affects its strategic management, which boosts performance, whereas a company's strategic orientation appears to be directly tied to its capacity for innovation and learning. The study made the recommendation that future studies emphasize strategic management being multi-dimensional (i.e., to examine the relationship among company performance and SM instruments).
SJORS: A Semantic Recommender System for Journalists

Abstract Recommender Systems support a broad range of domains, each with peculiarities that recommendation algorithms must consider to produce appropriate suggestions. In the paper, we bring attention to a little-studied scenario related to the news domain: recommendations catering to media journalists. Based on the particular needs inherent to a newsroom, the authors introduce SJORS, a wire news Recommender System that takes into account the activities of each journalist as well as other critical factors that arise in this particular domain, such as wire news recency. Given the nature of the items recommended, SJORS deals with the inherent ambiguity of natural language by exploiting different semantic techniques and technologies. The authors have conducted several experiments in a media company, which validated the performance and applicability of the system. Outcomes emerging from this work could be extended to other domains of interest, such as online stores, streaming platforms, or digital libraries, to name a few.
Infrastructure, human capital, and online teaching during COVID-19 disruptions: Teachers’ experiences at five South African private schools

This study explored the lessons that were learnt about online teaching during the COVID-19 pandemic in five private high schools in a suburb of Pretoria. Qualitative data was collected through interviews with 15 schoolteachers (three from each school), in which they were asked about their experiences with, and perceptions of, the online teaching that they and their schools provided during the periods in 2020 when in-person schooling was prohibited in South Africa due to the pandemic. Thematic analysis of the interview data produced two categories of factors that affected the ability of teachers to successfully offer online-only teaching and learning: infrastructural factors and human capital factors. Drawing on the teachers’ inputs in these thematic areas, four lessons learnt were determined, as follows: ensure reliable power supply in support of internet connectivity; allow teacher internet connectivity on a bring your own device (BYOD) basis; ensure practical and up-to-date teacher skills in online teaching; and harness the power of peer-to-peer knowledge-sharing.
Computational Thinking with Scratch: A Tool to Work on Geometry in the Fifth Grade of Primary Education

To achieve the Fourth Sustainable Development Goal (SDG) of providing quality education and promoting lifelong learning opportunities for all 21st-century students, today it is essential to develop Computational Thinking skills. This article analyses the results obtained in an empirical experience in which Computational Thinking is used with Scratch educational software to address Geometry content in Primary Education. In many cases, this content is repetitive and has little practical application; therefore, using this resource as a learning tool allows us to propose a more dynamic, motivating, and effective approach for students. The experiment was carried out with a total of 66 students in the fifth year of Primary Education from 3 different schools using a non-equivalent control group design with substitute pre-test measures. In order to be able to carry out this work, the teachers involved first received initial training. Subsequently, the students carried out generic activities to familiarise themselves with the educational software and, finally, specific geometry activities. The results obtained show a more positive learning process among those students who worked with Scratch, highlighting the motivating and evidently practical aspect of this resource. These results serve to promote an approach to the teaching of Geometry in elementary education that goes beyond traditional boundaries, embracing student centricity and Computational Thinking as cornerstones. Additionally, the emphasis on Computational Thinking becomes a clarion call for educators to embrace innovative pedagogies that resonate with the evolving needs of 21st-century learners, and it should be considered an important element with a significant role in the Mathematics curriculum framework.
Socialization of Registration Information for the Use of E-Book (ADKUH Book) at Puskesmas Colomadu 2

Background: Along with the development of technology and communication that is increasingly sophisticated and rapid, the flow of unlimited information is increasingly accessible, making technology a necessity for humans in carrying out all daily activities. This is also accompanied by the changing times that are increasingly rapid and limitless, bringing world civilization to the era of the fourth revolution. In this era, all activities are carried out by utilizing the existence of a technology, that prioritizes the process of automation and direct data exchange in the form of connectivity between humans, machines, and data covered in the Internet of Things and Artificial Intelligence with a combination of robotic technology and sensors by utilizing the existence of the internet as a link. Information and communication technology is the backbone of this fourth revolution movement, Objectives: The general purpose of this community service activity is to increase knowledge about access to health information and registration status at Colomadu 2 Health Center. Method: This method of community service activities uses socialization methods, tutorial questions and answers, and evaluation. Results: showed that the average knowledge score after ebook registration application education was dukuh (Mean= 15.29; SD= 2.64) is greater than the average knowledge score before education (Mean= 11.10; SD= 3.02), and this result is statistically significant (p&lt;0.001).
French and English Texts of the Laws of Oléron: Assessing Proximity between Copies and Editions by Means of Cosine Similarity

The Laws of Oléron are a compilation of regulations concerning sea conduct drawn up in the thirteenth century in French. Copies of the text appeared in varieties of French in England and on the Continent, but it was only in the sixteenth century that the code was translated into English. Multiple issues concerning this English text are still vague. An attempt at settling some of them, such as the relationship between different exemplars and determining their French source text, has been undertaken in two recent studies. This article tries to verify whether the conclusions reached there can be corroborated with the use of mathematical methods of analysis, and to measure the correlations between the extant copies of the English translation and a group of French texts named by different researchers as the source texts for the rendition. The analysis is conducted by means of text similarity measurements using cosine similarity.
An anomaly detection method for identifying locations with abnormal behavior of temperature in school buildings

Abstract Time series data collected using wireless sensors, such as temperature and humidity, can provide insight into a building’s heating, ventilation, and air conditioning (HVAC) system. Anomalies of these sensor measurements can be used to identify locations of a building that are poorly designed or maintained. Resolving the anomalies present in these locations can improve the thermal comfort of occupants, as well as improve air quality and energy efficiency levels in that space. In this study, we developed a scoring method to identify sensors that shows collective anomalies due to environmental issues. This leads to identifying problematic locations within commercial and institutional buildings. The Dynamic Time Warping (DTW) based anomaly detection method was applied to identify collective anomalies. Then, a score for each sensor was obtained by taking the weighted sum of the number of anomalies, vertical distance to an anomaly point, and dynamic time-warping distance. The weights were optimized using a well-defined simulation study and applying the grid search algorithm. Finally, using a synthetic data set and the results of a case study we could evaluate the performance of our developed scoring method. In conclusion, this newly developed scoring method successfully detects collective anomalies even with data collected over one week, compared to the machine learning models which need more data to train themselves.
Nmap network scan performance optimisation

With the rapid development of computer networks, a vast amount of information is transmitted and stored within them. However, each node within these networks could potentially be a source of information leakage. In order to protect data security, network security scanning is a necessary practice. This paper presents a Python scheduler for optimizing the performance of scanning multiple target IP addresses using the open-source network scanning software, nmap. The paper also examines the efficiency of multi-threaded calls to nmap by experimentally testing different numbers of target IPs and threads. By adjusting the number of threads appropriately, the scanning efficiency of multiple target IP addresses by nmap can be improved.
An improved convolutional neural network based method for emotional gesture recognition

Nowadays, there is a general problem of communication difficulties in the deaf community for gesture expression of emotion, which leads to depression. This paper designed and implemented an emotional gesture recognition method for the recognition of gestures’ emotion. The recognition results of negative and positive emotions can improve the communication of the disadvantaged people. The method designed the recognition network based on convolutional neural network, spatial pooling, residual structure and then optimized the network with attention mechanism. The results of the experiments on real scene image dataset show that the network model proposed in this paper has a high recognition accuracy and good robustness.
Intelligent alarm APP framework system based on security isolation container

With the rapid development of smart grid, the number of smart substations is increasing, and the establishment of a unified security isolation container is beneficial to the realization of unified information modeling and data management of the whole station, so the application research and development based on security isolation container is inevitable. The invention relates to an intelligent alarm APP system based on a safety isolation container established on the basis of a unified platform, which acquires alarm information data from the platform through an interactive information interface between the platform and the APP, forms a knowledge base based on fault logic description language modeling, and finally calls the interactive information interface between the platform and the APP to transmit inference information to the platform after fault reasoning and diagnosis. The practice shows that the intelligent alarm APP based on the security isolation container can perform independent start-stop operation, independent process white list, network white list and other security settings, and can intelligently process the fault information in real time and reliably, and support the integrated operation control and independent safe and stable operation of the smart grid.
Research related to Wordle-oriented combination of multiple algorithms based on neural networks

Wordle is a popular word puzzle game offered by The New York Times, with two different modes: regular and difficult, which will affect the player to varying extent. Given that a report in New York Times shows that the number of reported results is changing every day, a time series forecasting model based on the ARIMA method was built on the data to account for the changes and create a forecast interval for the number of reported results on 1 March 2023. The Pearson coefficient was calculated to determine whether any change in the attributes of the language would have an effect on the percentage of the game scores gained in the difficult mode. For a given future solution word at a future date, a BP neural network-based model was developed to predict the relevant percentage for a future date. Based on entropy method and K-means algorithms to classify solution words according to difficulty, the attributes of a given word associated with each classification are identified. Experimental results show that the model is able to achieve good performance on most datasets.
Interval Methods in Knowledge Representation

International Journal of Uncertainty, Fuzziness and Knowledge-Based SystemsVol. 31, No. 06, pp. 1061-1062 (2023) No AccessInterval Methods in Knowledge RepresentationVladik KreinovichVladik KreinovichDepartment of Computer Science, University of Texas at El Paso, El Paso, TX 79968, USAhttps://doi.org/10.1142/S0218488523970061Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Check out our titles on Fuzzy Logic & Z-Numbers With a wide range of areas, you're bound to find something you like. FiguresReferencesRelatedDetails Recommended Vol. 31, No. 06 Metrics History PDF download
Dealing with AI-generated works: lessons from the CDPA section 9(3)

Abstract This article aims to provide some input for revising the text of section 9(3) of the Copyright, Designs and Patents Act 1988 (CDPA), without proposing a new provision. Specifically, it addresses the question of how this provision should be construed vis-à-vis Artificial Intelligence (AI)-generated outputs. Although numerous options have been discussed in literature, so far none of them has comprehensively looked at the broader context in which users of generative AI models give instructions and how these prompts could impact issues of subsistence in AI-generated outputs. This article aims to fill that gap. Before suggesting a new framework for reconsidering the provision of section 9(3) CDPA, this contribution briefly revisits the originality, fixation and human authorship requirements, and explains how these are met when AI is involved in creative processes. Next, it questions whether the copyright regime is the appropriate form of protection for AI-generated outputs. Lastly, it provides an examination of the strengths and weaknesses of section 9(3). This article supports the human-centred approach of the CDPA towards authorship of AI-generated works. However, it also suggests that a more nuanced approach should be adopted. Specifically, it contends that under section 9(3), AI-generated works should belong to the user of the AI model giving instructions only as long as such directions to create are sufficiently original themselves for the purposes of copyright protection. Furthermore, de lege ferenda, this distinction should be expressly included in the text of section 9(3).
Copyright, platforms and NFT digital collections: exploring the proper regulatory mode in China

Abstract Non-fungible token (NFT) technology heralds a transformative era for the creative industry, offering unprecedented advantages to individual creators. For a robust and sustainable NFT trading ecosystem, it is imperative to ensure rigorous copyright protection. This article posits that an NFTized digital copyrighted work should be perceived as a virtual property, with its intrinsic value residing in the token itself. Given that NFT transactions implicate the exclusive rights of copyright holders, they ought to be under the purview of these rights holders. Yet, it is crucial to recognize that NFTs, in isolation, are not a panacea for addressing copyright infringements related to them. Given the pivotal role of NFT platforms in facilitating these transactions, this article advocates for a holistic regulatory framework that governs the conduct of these platforms, thereby fostering the sustainable growth of the NFT ecosystem in China.
Alfred Adler and the War: A Psychobiographical Essay

ABSTRACT: The current war against Ukraine awakened the wish to look over Adler’s shoulder during World War I, when he served as a military neurologist. The literature review revealed an obituary on Adler written by Dr. Maksymilian Blassberg that provides some interesting details about Adler’s service at Kraków’s military hospital, which, in the context of existing field letters written by Adler, allows one to fill in some missing links and to draw a psycho biography of Adler during this difficult time. The parallels of his life stimulate us to think about the dangers and conditions of today’s wars.
First station from the Sofia University Seismic Network

The first seismic station of the Seismic Network of Sofia University (SNSU) was built in 2023 with funding from the Scientific Research Fund of Sofia University “St. Kliment Ohridski”. The station is operating in the Faculty of Physics since September 2023. The equipment consists of a seismometer Geophone 4.5 Hz and a digitiser PSN-ADC24. A portable computer is used for data recording and archiving. During the month of station operation several earthquakes in Bulgaria and neighbouring countries were analysed. The spectrum of the seismic noise from the station was analysed for different periods. The characteristics of the terrain of station installation were also determined using the method H/V. Although the equipment has modest capabilities, it allows students and young scientists to work directly with the seismic equipment and to do scientific investigations. The possibility of scientific research will be expanded renewing the equipment (purchased in October 2023).
Can vulnerability disclosure be timely, detailed and coordinated?

Vulnerability disclosure is a tricky subject. Organisations need early and detailed information about vulnerabilities in order to fix them. At the same time, threat actors can use the same information to develop exploits that could devastate organisations that don't move fast enough to protect themselves. So how can we balance the need for disclosure against the threats posed?