Reviewerly/exHarmony huggingface dataset:
Improving the List of Threats Falling under Art. 163 of the Criminal Code of the Russian Federation as a Measure to Counteract Extortion

The author studies the problems of enforcing legislation on penalizing extortion connected with the modus operandi of the crime. The legislation does not fully cover new methods of committing crimes through the use of software, and also some old, not very common ones. Court practice materials and theoretical publications studied by the author allowed him to state that the current edition of Art. 163 of the Criminal Code of the Russian Federation does not encompass all types of threats that could accompany the demands for other peoples property (for example, a threat to block the access to computer information or commit other publicly dangerous acts provided for in the criminal legislation). The use of ransomware is becoming more common practically all over the world. The article enumerates all ways of committing a crime that could constitute corpus delicti of extortion, but in practice they are often classified under other Articles of the CC of the RF, and a unified approach to law enforcement is lacking. Such ways of committing a crime include threats of unlawful criminal prosecution or staging a crime scene. The presented research is based on the analysis of foreign legislation for counteracting extortion. Besides, the author identified various approaches to compiling the list of extortion threats: in some countries the laws include general assessment features, while in others they include detailed casuistic features. The legislations of Russia and the CIS countries contain a closed list of threats most typical for extortion, which is a combined approach. However, new and non-typical threats are not included in the list, which could be seen as a drawback of the law. The author comes to the conclusion that Russian legislation could include the feature of a threat to commit another crime (if blackmail demands are made), which will provide an opportunity to widen the sphere of application for the criminal law norms. If the proposed amendments are adopted, they will bridge the gap in law that allows the extortionists to avoid criminal liability.
Kahoot! as innovation gamification for examination

Kahoot! is a learning innovation with a gamification method in the form of a platform. This study used a literature review method based on various research results that discuss the implementation of learning using web-based media. The data analysis consists of reading the literature review, summarizing, analyzing, and synthesizing it. The results of this study indicate that in carrying out the learning process, educators need to follow technological developments. By using Kahoot! As a medium for conducting exams or tests, students will get a new and fun experience while doing their exams. This is supported by the website's visual appearance, which uses funny and exciting animations. In addition, in its use, There is no charge, and the application is relatively easy to use. However, the downside of using Kahoot! as a learning media, both educators and students need a good internet network and adequate devices. Kahoot! can be used as an alternative media in learning because of its advantages, but it should also be noted that in its use, Kahoot! Requires a good internet connection and adequate devices.
Design of Micro-drone Autopilot Architecture with Static Scheduling Optimization

This paper presents the internal architecture of a Modifiable Off-the-Shelf (MOTS) open-source autopilot. The analysis of a set of functional and hardware requirements reveals that the core of the autopilot can be implemented as a single-threaded system, with a main loop acting as a non-preemptive static scheduler, provided that the internal structure is well-organized. We discuss how the type of bus used for sensor communication influences the nature of the events received from the sensors, whether they are solicited or unsolicited. We demonstrate that, depending on the workload that a main loop iteration must handle, the execution time of a single iteration can exceed the defined period, potentially causing delays in attitude correction. Finally, we explore the degrees of freedom available to mitigate the impact of such overloads by smoothing out the periodic workload.
Neural Attention Forests: Transformer-Based Forest Improvement

A new approach called NAF (the Neural Attention Forest) for solving regression and classification tasks under tabular training data is proposed. The main idea behind the proposed NAF model is to introduce the attention mechanism into the random forest by assigning attention weights calculated by neural networks of a specific form to data in leaves of decision trees and to the random forest itself in the framework of the Nadaraya-Watson kernel regression. In contrast to the available models like the attention-based random forest, the attention weights and the Nadaraya-Watson regression are represented in the form of neural networks whose weights can be regarded as trainable parameters. The first part of neural networks with shared weights is trained for all trees and computes attention weights of data in leaves. The second part aggregates outputs of the tree networks and aims to minimize the difference between the random forest prediction and the truth target value from a training set. The neural network is trained in an end-to-end manner. The combination of the random forest and neural networks implementing the attention mechanism forms a transformer for enhancing the forest predictions. Numerical experiments with real datasets illustrate the proposed method. The code implementing the approach is publicly available.
tidync: scientific array data from NetCDF in R

In May 2019 version 0.2.0 of tidync was approved by rOpenSci and accepted to CRAN. Here we provide a quick overview of the typical workflow with some pseudo-code for the main functions in tidync. This overview is enough to read if you just want to try out the package on your own data.
THE MARKET VALUE OF DECENTRALISATION

A prominent motivation for the use of cryptocurrencies is the system of exchange does not require a central trusted authority. In fact there are a class of decentralised exchanges where participants can exchange cryptocurrencies using a protocol rather than a centralized exchange. This analysis uses the failure of the centralized FTX exchange to estimate the value the market assigns to decentralised versus centralised exchanges. We find the market assigns a significant value to decentralisation.
Low-Latency Hierarchical Federated Learning in Wireless Edge Networks

Hierarchical federated learning (HFL) has recently emerged as a more practical machine learning paradigm, which enables edge servers (ESs) in close proximity to conduct partial model aggregation. Despite its utility, local training and model aggregation incur considerable computation and communication time. Client selection (CS) has proven effective for minimizing latency. However, CS faces the following challenges in HFL. First, the accessible clients, computation resources and network bandwidth are time-varying and unpredictable. Second, certain dynamics can only be observed after the decisions are made. Third, multiple ESs face different unknown clients, increasing the difficulty of selecting clients in an online manner. Last, resource usage may be excessively violated during the training process. Existing HFL researches are insufficient to tackle these challenges. This work proposes a multi-ESs CS framework (MCS), which is based on multi-armed bandit technique. MCS aims to reduce the cumulative computation and communication time, using two algorithms: i) an online learning-based CS algorithm (OCA) makes the CS decisions for each ES, based on empirical learning results; ii) a randomized rounding algorithm (RRA) converts fractional decisions obtained by OCA into binary solutions. Theoretically, MCS can enjoy the sub-linear regret and violation compared to the optimal strategy. Practically, extensive experiments on real-world datasets demonstrate the empirical superiority of MCS over multiple state-of-the-art algorithms in minimizing cumulative latency.
Suggestion Cybersecurity Framework (CSF) for Reducing Cyber-Attacks on Information Systems

This study conducts a comprehensive analysis of different standards frameworks in cybersecurity to identify best practices and international standards. The primary objective is to propose an appropriate cybersecurity framework that aligns with global standards, effectively reducing the risks of cyberattacks and threats to data, information, networks, and devices within institutions. By enhancing cybersecurity, the framework aims to safeguard infrastructure. It further contributes to improved management of cybersecurity risks by incorporating the best global practices and local cybersecurity legislation. Through an examination of various cybersecurity frameworks, including NIST 800-53Ar4, COBIT, and ISO27002, the study finds that NIST 800-53Ar4 is the most effective framework. The researcher recommended adopting a hybrid approach that combines elements from multiple frameworks and standards.
The Korsh case, or Should an academician live in the capital?

According to the tradition, which had been maintained since the 18th century, the members of the St. Petersburg Academy of Sciences had to live in the capital and actively take part in the Academy’s routine. Yet, by the turn of the 20th century the development of Russian science and society had reached a level at which a scientist’s need and desire to live and work where he can bring maximum practical benefit began to conflict with the Academy’s rules. The article describes the situation of the early 20th century when Fyodor E. Korsh, a prominent Moscow philologist and orientalist, was elected to the Department of the Russian Language and Literature of the Imperial Academy of Sciences. Contrary to the Academy’s tradition, F. E. Korsh did not move to St. Petersburg, when he was elected. The archival materials reveal what his colleagues at the Department and other academicians thought about the requirement to live in the capital and about the breach of the rule as well. Since the early 20th century such «extraordinary cases» continued to happen further and further, the authorities in 1912 had to approve of the academicians’ right to live not only in Petersburg but also in other cities and had to introduce an appropriate amendment to the new staff of the Academy of Sciences. The article is supplemented with the previously unknown note which was specially written by F. E. Korsh in 1904 in reply to the reproach for breaking the Academy’s Charter. He explained there his own attitude to the wording of that point in the Charter of the Academy and that of the Department and also wrote about his scientific work in the Academy of Sciences.
Pengaruh Metode Diskusi Terhadap Keaktifan Belajar Pendidikan Agama Kristen Siswa Kelas XI SMA Negeri 1 Pangururan Kabupaten Samosir Tahun Pembelajaran 2023/2024

The purpose of this study is to determine the positive and significant influence of discussion methods on the learning activity of grade XI students of SMA Negeri 1 Pangururan, Samosir Regency for the 2023/2024 Learning Year. The method used in this study is quantitative research method. The population is all grade XI students of SMA Negeri 1 Pangururan, Samosir Regency for the 2023/2024 Learning Year who are Protestant Christians totaling 252 people and a sample of 50 people was determined, which is 20% of the total population using random sampling techniques. Data were collected using a positive closed questionnaire of 36 items, namely as many as 16 items for variable X and as many as 20 items for variable Y compiled by the author in accordance with expert theory. The results of the data analysis showed that there was an influence of the discussion method on the learning activity of class XI Christian education SMA Negeri 1 Pangururan, Samosir Regency Learning Year 2023/2024: 1) Test analysis requirements: a) positive relationship test obtained rxy = 0,572 &gt; rtable(=0,05,n=50) = 0,297. b) Test the relationship of significant obtained values tcount= 4,831 &gt; ttable(=0,05,dk=n-2=48)= 2,021. 2) Test the influence: a) Test the regression equation, obtained regression equation . b) Regression coefficient of determination test (r2) = 32,7%. 3) Test the hypothesis using the F test obtained Fcount &gt; Ftable=(=0,05,dk numerator k=16,dk denominator=n-2=50-2=48) is 23,34 &gt; 1,51. Thus, Ha, namely the influence of the discussion method on the learning activity of class XI Christian education of SMA Negeri 1 Pangururan, Samosir Regency Learning Year 2023/2024 was accepted and H0 was rejected.
Dependence in constrained Bayesian optimization

Abstract Constrained Bayesian optimization optimizes a black-box objective function subject to black-box constraints. For simplicity, most existing works assume that multiple constraints are independent. To ask, when and how does dependence between constraints help? , we remove this assumption and implement probability of feasibility with dependence (Dep-PoF) by applying multiple output Gaussian processes (MOGPs) as surrogate models and using expectation propagation to approximate the probabilities. We compare Dep-PoF and the independent version PoF. We propose two new acquisition functions incorporating Dep-PoF and test them on synthetic and practical benchmarks. Our results are largely negative: incorporating dependence between the constraints does not help much. Empirically, incorporating dependence between constraints may be useful if: (i) the solution is on the boundary of the feasible region(s) or (ii) the feasible set is very small. When these conditions are satisfied, the predictive covariance matrix from the MOGP may be poorly approximated by a diagonal matrix and the off-diagonal matrix elements may become important. Dep-PoF may apply to settings where (i) the constraints and their dependence are totally unknown and (ii) experiments are so expensive that any slightly better Bayesian optimization procedure is preferred. But, in most cases, Dep-PoF is indistinguishable from PoF.
Opinion Mining: A Comprehensive Approach for Complex Sentiment Analysis

Sentiment analysis, the process of extracting sentiments from text, is vital for understanding public opinions. Traditional methods often struggle with nuanced emotions. This paper introduces a comprehensive approach to address this challenge. It amalgamates sentiment analysis techniques, real-time examples, and contextual analysis, presenting a multi-step algorithmic framework. This approach includes tokenization, precise polarity assignment, contextual analysis, handling contrasting sentiments, aggregating segment sentiments, and final sentiment classification. It offers a holistic understanding of text emotions, bridging gaps left by conventional methods.Real-time examples illustrate its effectiveness. Equations and step-by-step illustrations clarify its application. This approach is versatile, suitable for social media, product reviews, and more. Its granularity excels where traditional methods falter.In summary, this research contributes a comprehensive sentiment analysis approach that bridges the gap between traditional methods and complex emotions. By addressing conventional limitations, it enhances opinion deciphering and decision-making.
Development and Design of IoT-Based Poultry Weighing Tools

The increasing popularity of IoT implementation should drive the livestock sector to take the IoT benefits to obtain the best livestock, including in poultry farming. However, in Indonesia, many activities in poultry farming are still carried out without the utilization of smart technology, for example, in the weighing activity. The weighing process in poultry often increases the potential to produce inaccurate results. This will affect the profits obtained by poultry farmers because the weighing results determine the profits obtained. Therefore, this study aims to design and develop an IoT-based tool to weigh poultry in chicken coop farms to observe and control the condition of chicken coop needs. The method used in this research is identification and field observation to determine the farmer's needs. Then the design of the tool is carried out, and verification of the system and design of the tool is carried out to stakeholders. The results of this study show that IoT scales can measure weight accurately, and the IoT system runs as expected. This study also proposes a business process for weighing activities using IoT-based weighing equipment.
The immersive virtual memory task: Assessing object-location memory in neurological patients using immersive virtual reality

Memory for object locations in proximity is an essential aspect of everyday activities and has high clinical relevance. Immersive Virtual Reality (VR) has the potential to bridge the gap between the experimental control of laboratory conditions and reliable predictions of functional abilities. We developed the immersive Virtual Memory Task (imVMT), a neuropsychological assessment tool for spatial memory that combines gesture-based natural hand interaction and a head-mounted display. Our aim was to investigate the imVMT task characteristics, to validate the imVMT regarding the underlying cognitive processes, and to evaluate its applicability and feasibility in the clinical context in a sample of thirty-five patients with various neurological disorders and functional deficits. We further aimed to assess object-location memory in a small-scale virtual environment. Our results show that task difficulty can be efficiently manipulated by increasing the number of objects to memorize and rotation angle against the encoding perspective. We demonstrate construct validity as our primary outcome measure was significantly related to spatial memory performance in conventional neuropsychological tests. The imVMT was highly feasible and received high ratings for usability. The imVMT represents an ecologically relevant and valid VR task for assessing object-location memory in a wide range of neurological patients.
Superior svg graphics rendering in R, and why it matters

This week we released a major new version of the rsvg package on CRAN. This package provides R bindings to librsvg2 which is a powerful system library for rendering svg images into bitmaps that can be displayed, or use for further processing in for example the magick package.
Sciences of education without...pedagogy?!...

The text reveals certain considerations/reconsiderations regarding the formulas „sciences of education”/” sciences of education” and „pedagogical sciences” in university undergraduate education and through the evolution of the doctorate, but also in the system of continuous training of teaching staff in the Republic of Moldova.The author’s views lend themselves to the clarification, interpretation and reconsideration of the formula „sciences of education” through the concise and clear delimitation between „authentic sciences of education” and „pseudosciences of education”, which, in its absence, favors and encourages the tendency to multiply numerous „sciences and mini sciences of education”.
The dinamics of societal challenges on the didactic profession

This article reflects an analysis of the concept of challenge, which means a difficult but exciting situation, testing one’s qualities and skill. Thus, we have analyzed the meanings of some authors who set out a distinct vision of the societal challenges that teachers currently face. The purpose of the research is to identify, analyze and improve the most current challenges in education and training, stipulated in national and international documents, which require the teacher to possess, at the highest level, professional skills, as well as the cautious and rapid resolution of all uncertainties regarding the pedagogical profession, contributing to the improvement of professionalism and the continuous development of the professional career.
Time in education

Education, like other spheres of social activity, builds its own time, its own duration, its own framework of mobility. At the same time, being produced over time, it, in turn, becomes a producer, facilitator, instigator of processes. The concepts of time and the understanding of time arise from temporality. The phenomenon of contemporary education consists in the fact that it acquires content and meaning thanks to a supratemporal instance, resulting from different relationships, which fall within the temporal plurality, the theoretical-practical accumulations generating complex organizations between past-present-future. This article is dedicated to the problem of time in education.
Interplay of Digital Proximity App Use and SARS-CoV-2 Vaccine Uptake in Switzerland: Analysis of Two Population-Based Cohort Studies

Objectives: Our study aims to evaluate developments in vaccine uptake and digital proximity tracing app use in a localized context of the SARS-CoV-2 pandemic. Methods: We report findings from two population-based longitudinal cohorts in Switzerland from January to December 2021. Failure time analyses and Cox proportional hazards regression models were conducted to assess vaccine uptake and digital proximity tracing app (SwissCovid) uninstalling outcomes. Results: We observed a dichotomy of individuals who did not use the SwissCovid app and did not get vaccinated, and who used the SwissCovid app and got vaccinated during the study period. Increased vaccine uptake was observed with SwissCovid app use (aHR, 1.51; 95% CI: 1.40-1.62 [CI-DFU]; aHR, 1.79; 95% CI: 1.62-1.99 [CSM]) compared to SwissCovid app non-use. Decreased SwissCovid uninstallation risk was observed for participants who got vaccinated (aHR, 0.55; 95% CI: 0.38-0.81 [CI-DFU]; aHR, 0.45; 95% CI: 0.27-0.78 [CSM]) compared to participants who did not get vaccinated. Conclusion: In evolving epidemic contexts, these findings underscore the need for communication strategies as well as flexible digital proximity tracing app adjustments that accommodate different preventive measures and their anticipated interactions.
OSF: A Project Management Service Built for Research

osfr provides a (&lt;em&gt;hopefully&lt;/em&gt;) convenient R interface to OSF (Open Science Framework, https://www.osf.io), a free service for managing research developed by the Center for Open Science (COS). osfr completed its rOpenSci peer-review earlier this year and has been available on CRAN since February.
AweRAN

As communications service providers ponder ways to cater to the diverse traffic requirements of mobile applications that range from the classic telephony to modern augmented reality (AR)-related use cases, the traditional quality of service (QoS)-based radio resource management (RRM) techniques for RAN slicing that are agnostic to the intrinsic workings of applications can result in a poor quality of experience (QoE) for the end-user. We argue that in addition to QoS, RAN slicing strategies should also consider QoE for efficient resource utilization. However, without comprehensively understanding the interplay between QoS, QoE and how various RRM techniques can potentially influence them, it is impossible to incorporate QoE-driven feedback for resource allocation. Consequently, in this work, we conduct a first-of-its-kind in-depth experimental campaign on an O-RAN compliant 5G cellular testbed to evaluate the performance of the QoE metrics of three varied applications---video-enabled voice calling, cloud gaming, and AR---under various RAN slice configurations. We discuss the key findings of this elaborate study, and motivate the need for a QoE-aware RRM framework for RAN slicing.