Reviewerly/exHarmony huggingface dataset:
Understanding Technology in Modern Culture: methodological reconstruction of philosophical approaches

The subject of the research is philosophical approaches to the analysis of technology reflecting the understanding of technology in modern culture. The problematization of technology occurs in connection with the desire of people to control it, reducing the determinism of their lives by external forces. To explain the connection between technology and man, numerous philosophical approaches have been proposed — systems of views expressing a certain way of seeing and based on basic concepts (reflecting the main aspects of the subject of research). Depending on the properties attributed to the technique and the goals of study, these approaches offer various forms of its awareness and practical development. At the existing level of philosophical knowledge, these concepts are not systematized and not coordinated; implied assumptions are not formulated openly, the main problems and prerequisites of the study, the factors taken into account, the meaning of the terms used are not always explicitly stated. The author comes to the conclusion that the analysis of these approaches with the help of logical reconstruction will bring the greatest methodological benefit: the identification of philosophical concepts (including the articulation of unconscious ideas), their comparison and analysis of methodological foundations (identification of the principles underlying them). It is concluded that the following have the greatest potential for research: a socio-natural approach analyzing nature and human society (generating technology) as steps of a single ladder of evolution having common laws of functioning; a sociotechnological approach considering socio-cultural and technical practices as generated by the communication environment; a biotechnological approach exploring natural and technical systems as successive stages of the evolution of the Universe, not taking into account the subjective factor of technology development. As a result, developing a philosophy of technology that combines all the diversity of these approaches and explains their mutual correspondence, we will analyze the anthropological foundations of technical activity.
Driving best practice security in a hybrid working world

The UK is settling into its new hybrid working routine. This is introducing new cyber security challenges for organisations. To secure personal and sensitive data across this ever-growing, sprawling and increasingly insecure environment, organisations have stepped up their use of end-to-end encryption. But this has created visibility challenges for security and compliance teams. And to many IT security professionals, it feels like a Catch-22 as they try to secure the needs of this increasingly hybrid workforce.
Recovering Seismic Sensor Data on Arrival Time Differences for Longitudinal and Transverse Seismic Waves

We developed a method for seismic sensor data recovery and simulated seismic sensor operation using artificial neural networks. We selected two parameters to train the artificial neural network on: the time between seismograph recordings of longitudinal (primary) and transverse (secondary) seismic waves, as well as the time between primary seismic wave recordings by two seismographs located at a certain distance from each other. We used data on 2636 earthquakes that occurred in 2020 in the Republic of Dagestan for our seismograph data recovery. The existing 19 seismic stations recorded less than 60 % of the total number of earthquakes. To recover seismic data, we trained the neural network twice for each seismic sensor, the first time involving zero time differences regarding seismic wave arrival at seismographs that did not record the time, and the second time involving time differences recovered from the results of training the neural network for the first time. Times between seismic wave recordings with known data were used as inputs to train the artificial neural network, while time differences to be determined were designated as outputs. The trained neural network displays a correlation coefficient related to real time intervals between seismograph recordings of seismic waves that exceeds 0.99919. The paper provides root-mean-square error plots of the neural network operation by epochs of its training, plots demonstrating how training results calculated by the neural network matchthe initial data, and histograms of neural network operation errors
Identifying Places Using Multimodal Social Network Data

Social media is an interesting source of information, specially when physical sensors are not available. In this paper, we explore several methodologies for the geolocation of multimodal information (image and text) from social networks. To this end, we use pre-trained neural network models for the classification of images and their associated texts. The result is a system that allows creating new synergies between image and text in order to geolocate information that has not been previously geotagged by any other way, which is a potentially relevant information for several purposes. Different experiments have been done revealing that, in general, text information is more accurate and relevant than images.
Security Centric Scalable Architecture for Distributed Learning and Knowledge Preservation

This article presents the architecture, design and validation of a distributed learning approach, that provides support for knowledge preservation. The architecture is able to provide support for Collaborative Data Mining, Context Aware Data Mining, but also Federated Learning. Improving User Experience, providing support for research activities and providing a framework for production-grade machine learning pipeline automations were the primary objectives for the design of the proposed architecture. Third party service support is available out of the box, maintaining the loose-coupling of the system. Obtained results are promising, the system being validated with a use case on Collaborative Data Mining.
Coherent phase transfer for real-world twin-field quantum key distribution (Conference Presentation)

Nowadays, a technological challenge is to integrate quantum key distribution (QKD) protocols in already present telecommunication fiber networks. Twin-field QKD is one of the most promising techniques on long distances, but requires stabilizing the optical length of the communication channels between parties. Adapting interferometry techniques derived from frequency metrology, we developed a solution for the simultaneous key sharing and channel length control, and we demonstrated it on a 206 km field-deployed fiber with 65 dB loss. Our method reduces the quantum-bit-error-rate contributed by channel length variations to <1%, representing an effective solution for real-world quantum communications.
FAIR Begins at home: Implementing FAIR via the Community Data Driven Insights

Arguments for the FAIR (Findable, Accesible, Inter-operable and Reusable) principles of science have mostly been based on appeals to values. However, the work of onboarding diverse researchers to make efficient and effective implementations of FAIR requires different appeals. In our recent effort to transform the institution into a FAIR University by 2025, here we report on the experiences of the Community of Data Driven Insights (CDDI) , a interfaculty initiative where all university-wide research data service providers are joined together to support researchers and research groups ( e.g. see research showcase example here ) with all aspects concerning research data management. CDDI aims to turn all digital objects within Maastricht University (UM) into FAIR Digital Objects (FDO) and by disclosing the progress and challenges of implementing FDOs ( e.g. see CDDI OSF repo: https://osf.io/398cz/ ), we hope to shed light on the process in a way that might be useful for other institutions in Europe and elsewhere. We initially identified 5 challenges for FDO implementation. These challenges were first a matter of reshaping the culture of science making practices to fit the FAIR principles. Additionally, it required an educational awareness within the scientific communities, and finally financial and technical tools to actually facilitate the transition to FAIR practices of science making. These perspectives show the complex dimensions of FAIR principles and FDO implementation to researchers across disciplines in a single university.
NeuroVI-based new datasets and space attention network for the recognition and falling detection of delivery packages

With the popularity of online-shopping, more and more delivery packages have led to stacking at sorting centers. Robotic detection can improve sorting efficiency. Standard datasets in computer vision are crucial for visual detection. A neuromorphic vision (NeuroVI) camera is a bio-inspired camera that can capture dynamic changes of pixels in the environment and filter out redundant background information with low latency. NeuroVI records pixel changes in the environment with the output of event-points, which are very suitable for the detection of delivery packages. However, there is currently no logistics dataset with the sensor, which limits its application prospects. This paper encodes the events stream of delivery packages, and converts the event-points into frame image datasets for recognition. Considering the falling risk during the packages' transportation on the sorting belt, another falling dataset is made for the first time. Finally, we combine different encoding images to enhance the feature-extraction on the YOLO network. The comparative results show that the new datasets and image-confusing network can improve the detection accuracy with the new NeuroVI.
Exploring The Inventively Giftedness Constructs of SonMasayoshi through Document Analysis

The purpose of this study was to confirm the factors of inventively giftedness of SonMasayoshi and to provide basic data for the research field of inventively giftedness factors through comparison and analysis with related previous studies. In order to achieve the purpose of this study, 4 books and 1 thesis were analyzed using the content analysis method.&#x0D; Cognitive ability, affective trait, social trait, and environmental factor were used as a framework for content analysis. The study results are as follows; First, the factors of invention giftedness of SonMasayoshi were identified as 25 factors in 4 areas. Specifically, cognitive ability factors include 1) superhuman learning ability 2) original thinking ability 3) systemic thinking ability for creative idea creation 4) idea generation and memo ability 5) application ability 6) modeling thinking ability 7) future-oriented As insight and affective trait factors are 1) curiosity 2) perfectionism tendency 3) goal-oriented tendency 4) task obsession 5) challenging spirit to accept failure 6) positive self-esteem overcoming inferiority 7) strong tenacity and desire to win 8 ) Behavioral orientation by quick decision 9) Passionate disposition and social trait factors are 1) Leadership 2) Persuasive power 3) Communication 4) Humor 5) Social responsibility 6) Win-win spirit and environmental factors are 1) Family environment 2) Educational environment 3) social environment.&#x0D; Second, among the factors of SonMasayoshi's inventively giftedness, systematic thinking ability for creative idea creation in the cognitive domain, modeling thinking ability, future-oriented insight, positive self-esteem that overcomes inferiority Behavioral orientation by decision, communication ability in the social domain, and the spirit of win-win were analyzed as the factors that differentiated from the facors of inventively giftedness presented in previous studies conducted at the theoretical level.&#x0D; Third, modeling thinking ability, educational environment, and social environment factors were identified as significant factors in that they were the basis for other inventively giftedness factors or derived other inventively giftedness factors among the differentiating factors. In addition, the systemic thinking ability factor for creative idea creation was judged to be an educationally significant factor in that it further expanded SonMasayoshi's cognitive abilities and possibilities.
Analyzing Existing Cyber Crime Policies in India

In today’s world where everything is dependent on technology and the internet, where most of the population in today’s world easily works in cyberspace. As Internet brings so many advantages with it. it also brings a few disadvantages and one of them is Cyber Crime. These crimes have so many types and classifications that are common. But what’s most important is to stop them. So to stop these crimes many organizations and governments had made many laws and serious protocols. There are many laws existing currently across the world. But the thing is they are sufficient Have these crimes been reduced? And what are the reasons for this happening? Why do we still need some ways to combat these crimes? What are these ways which will help us to deal with the current situation? What else should be added to the policies and what is it lacking? All these questions will be answered below in the research paper.
The Study of Teachers Professional Interaction Specifics at School Educational System Development

The article is about results of study teachers’ professional interactions specifics at school educational system development. Author determines nature of individual and group subjectivity at teachers’ professional interaction; gives characteristics of teachers’ participation index for professional interaction at school educational system development.
Improved methods of binocular phase measuring deflectometry

Phase measurement deflectometry (PMD) is an excellent method for high-precision optical surface measurement; through the simple system structure, accuracy comparable to that of interference methods can be realized. The key of PMD is to solve the ambiguity between the surface shape and normal vector. Considering all kinds of methods, the binocular PMD method is undoubtedly a method with a very simple system structure and can be easily applied to complex surfaces, such as free-form surfaces. However, this method relies on a large screen with high accuracy, which not only increases the weight of the system, but also reduces the flexibility of the system, and manufacturing errors in the large-size screen can easily become error sources. In this Letter, we have made some improvements based on the traditional binocular PMD. At first, we try to replace the large screen with two small screens to increase the flexibility and accuracy of the system. Further, we replace one small screen with a single point to simplify the system structure. Experiments show that the proposed methods not only improve the system flexibility and reduce the complexity, but can also achieve high measurement accuracy.
Quantitative analysis of sand particle shape based on digital image processing

The shape of sand particles affects the macro and micro mechanical properties of sand. In this paper, a quantitative analysis method of sand particle shape is proposed based on image processing technology. The area, perimeter and ferret diameter of Fujian sand particles are counted, and the particle shape parameters (flatness and roundness) are constructed. The calculation results show that the flatness of the sand sample is basically about 1.4, and the roundness of the particles is basically between 1.1 and 1.5. The shape of Fujian sand particles is mainly a slightly narrow quadrilateral, and there are few rod particles and circular particles. The flatness and roundness of different particle sizes have a significant concentration trend with the change of particle size. The above research results can provide a reference for the study of macro and micro mechanical properties of sand.
Analysis of Barriers in Using Rental Marketplace in Indonesia

The purpose of this paper is to explore the status of scholarly research on the review and bibliometrics citation analysis works on an overall journal related to research that engages advertising and job creations in blockchain technology. To execute the bibliometric analysis, data is extracted from the web of science (WOS) database. Data are selected through an inclusion and exclusion process called the PRISMA method. The final selected data are then assessed using the VOSviewer software to create a bibliometrics descriptive and an analytical citation analysis. The scarce number of blockchain bibliometric research; and the unavailability of information to researchers on citations, co-authorship, and co-occurrences of keywords in relation to advertising and job-creations incorporating high technology blockchain has motivated this research. Through a descriptive analysis, the study found that 2,215 article with 33,649 citations related to advertising and job creation in blockchain technology; and through the networking analysis showed that the highest citation counts by Journal of business research with 823 citations, Frishammar, Johan; Parida, Vinit; Westerberg, Mats as author with 339 counts, the Politecn Milan institution with 389 counts, and the U.S.A as country with 1,423 counts. This study has its added value as the analysis provides a bird’s eye view of citations and networking linkages globally benefitting researchers. This study also benefits young researchers to engage in developing novel and ground breaking empirical research ideas in the field of advertising, job creations and blockchain technology.
THE CONTRIBUTION OF SOCIO-HUMANISTIC DISCIPLINES TO THE DEVELOPMENT OF EUROPEAN CIVIC COMPETENCES IN CREATIVE YOUTH

The creative youth needs a wide range of skills to realize their potential, both in their professional activity and in society. Civic competences are among the key competences, which have not yet found their well-established place in the education system of our country, as well as at European level. Contributing to the growth of the democratic culture of the creative youth, the civic competences can be fully developed in the study process of the socio-humanistic disciplines in the university education. The aim of the study was to examine the experience of training European civic competences in higher artistic education in order to contribute to the rethinking, appreciation and improvement of forms and methods, enriching the content of these experiences in modern conditions in accordance with the new realities.
The asymmetric quantum cloning region

Quantum cloning is a fundamental protocol of quantum information theory. Perfect universal quantum cloning is prohibited by the laws of quantum mechanics, only imperfect copies being reachable. Symmetric quantum cloning is concerned with case when the quality of the clones is identical. In this work, we study the general case of $1 \to N$ asymmetric cloning, where one asks for arbitrary qualities of the clones. We characterize, for all Hilbert space dimensions and number of clones, the set of all possible clone qualities. This set is realized as the nonnegative part of the unit ball of a newly introduced norm, which we call the $\mathcal{Q}$-norm. We also provide a closed form expression for the quantum cloner achieving a given clone quality vector. Our analysis relies on the Schur-Weyl duality and on the study of the spectral properties of partially transposed permutation operators.
Application of improved whale optimization algorithm in engineering optimization problems

For the problem that the basic whale optimization algorithm is easy to fall into local optimization in the later stage, resulting in insufficient solution accuracy, at the same time, in order to improve the solution efficiency of whale optimization algorithm to optimize engineering problems, an adaptive weight whale optimization algorithm is proposed. The improved algorithm introduces weight factor to reduce the problem that it is difficult to jump out of local optimization in the later stage of the algorithm. Balancing the global search ability and local search ability of the algorithm enhances the global search ability in the later stage of the algorithm, and improves the optimization ability and solution accuracy of the algorithm. The improved algorithm and several comparison algorithms are applied to the classical engineering optimization problems. The experimental results show that the improved algorithm has good practicability and universality in solving accuracy, optimization ability and engineering project optimization.
A method for measuring the wall thickness of aeroengine blade tip groove

As the main component of power generation, the wall thickness of aeroengine turbine blade affects the dynamic performance of the whole engine. The accurate measurement of wall thickness is very important in the production process of turbine blade. Based on the point cloud processing technology, aiming at the point cloud of blade tip groove obtained by optical focusing scanning, this paper simplifies and denoises the data through two steps of random sampling filtering and statistical filtering, fits the blade tip plane model, projects the point cloud onto the two-dimensional plane, extracts the boundary points of the plane point cloud by the concave envelope algorithm, selects the initial points and initial vectors, calculates the connecting distance of the boundary points, and completes the calculation of the wall thickness of the blade tip.
A SPATIO-TEMPORAL VISUAL ANALYTICS TOOL FOR SIMULATED TRANSPORT ORIENTED-LAND USE URBAN PLANNING DATA

Abstract. This article presents a proposal framed in urban visual analytics, which aims to facilitate the exploration and analysis of zonal spatial indicators over time for a case of a large city-region. The context in which this exploration is carried out is the evaluation of the impact of interventions in land use and transportation, based on data produced by an integrated simulation system. The large amount of data to evaluate a scenario makes urgent the effort to design new interactive analysis environments. The resulting prototype (VIZ-BUS: Visual Analytics for Bogota Urban Simulator) has, for its design, an analyst-centric approach to the analysis task. Our first web deployment has been very well received by urban planning specialists in order to evaluate scenarios for a sustainable and smart city-region.
Design of an Ethereum Security Analysis for Unpredictable State System - An Overview

As a powerful tool for building framework and autonomous system across various domains, smart contracts are used to maintain security analysis in a better way. However, owing to the decentralised structure of the blockchain on which they are built, a number of concerns have surfaced about weaknesses in their programming, that according to their unique characteristics, might have (and have already had) a very large economic effect. This essay surveys the whole scope of smart contract security issues and the cutting edge of freely accessible security software.
Ukraine’s Libraries under Russian Fire: The First Fifty Days of Aggression

ABSTRACT The unprovoked Russian invasion of Ukraine on February 24, 2022, has turned into a bloody war with no end in sight. Towns have been brought to ruins by heavy shelling that destroyed the infrastructure. The country’s cultural heritage, along with its own national identity, is under threat. Libraries, archives, museums, and monuments have become war casualties. This article examines the destruction of libraries during the first fifty days of conflict based on articles, press releases, and statements published in international media outlets and on librarians’ accounts posted on social media. The loss of human lives is ongoing while millions are already in exile in neighboring countries, with no end of the conflict in sight.