Reviewerly/exHarmony huggingface dataset:
The Reality of the Barracks Culture of the Korean Armed Forces of Generation MZ and the Search for Alternatives

Purpose: The purpose of this paper is to analyze the characteristics of Generation MZ in the reality of the Korean armed forces where most of the enlisted soldiers are Generation MZ, and consider the task of improving the barracks culture for them.&#x0D; Method: Literature study and empirical data were carried out including books, academic journals, and disser-tations related to the barracks culture’s improvement and generation MZ in order to analyze the justification and promotion strategy of barracks culture improvement and a barracks culture improvement plan appropriate for the characteristics of the military organization and Generation MZ.&#x0D; Results: In order to improve the barracks culture appropriate for the characteristics of Generation MZ, the Korean armed forces need such measures as the strengthened authority and responsibility of the soldiers and allowed use of mobile phones. Furthermore, as a measure to establish military discipline, punishment for human rights, security, and negligence related issues need to be strengthened. Generation MZ lack personal experiences, and hence, group counseling ought to also be facilitated. Such policies targeting Generation MZ will be meaning-ful policies for the Generation Alpha who will enlist in the military in the future.&#x0D; Conclusion: Given the nature of the Republic of Korea, which has adopted the conscription system, the military ought to be able to play the role of the last public education institution. The military ought to be able to help the Republic of Korea take a large leap toward becoming a world-class nation by recovering the hopes and dreams which Generation MZ, called the Generation of 7 Losses, lost, and developing on their own. If the military pro-moted barracks culture improvement can create synergies in tandem with the independent and enterprising characteristics of Generation MZ, the Republic of Korea will not only be able to take a new leap forward compa-rable to the miracle of the Han River, but will also become a leading nation qualified to spearhead the future of the world.
The development and usage analysis of a profile chart for speaking performance assessment in primary English classes

The purpose of this study aims to develop a profile chart for speaking performance assessment and implement it in primary English classes. Considering some major theories and principles regarding speaking assessment which are performance assessment and learning-oriented assessment, as well as the teaching and assessment context of primary English teaching, a profile chart of speaking performance assessment was developed. To conduct the research, 24 primary school teachers participated and some of them used the chart and then shared their experiences in using the chart in their English classes. Through this process, the profile chart was revised and confirmed. According to the results of the study, the participating teachers were all satisfied with using the speaking assessment profile chart for in-class assessment. Teachers responded that the chart could be used for assessment purposes as expected, that it could be used within the scheduled time frame in the classroom, and that it was relatively easy to record and manage. They also responded that in consideration of the characteristics of the speaking activity for each class period and the number of students who could be assessed at one class period, another customized chart form should be developed. Other issues for further investigation and examination were suggested in the last part of the study.
RedOak: a reference-free and alignment-free structure for indexing a collection of similar genomes

Here we present RedOak, a reference-free and alignment-free software package that allows for the indexing of a large collection of similar genomes.RedOak can also be applied to reads from unassembled genomes, and it provides a nucleotide sequence query function.Our method is about the analysis of complete genomes from the 3000 rice genomes sequencing project, but our indexing structure is generic enough to be used in similar projects.This software is based on a k-mer approach and has been developed to be heavily parallelized and distributed on several nodes of a cluster.The source code of our RedOak algorithm is available at RedOak. Statement of needRedOak may be really useful for biologists and bioinformaticians expecting to extract information from large sequence datasets.
CrowdSec

In this chapter, you will look at an open source security tool called CrowdSec ( ). There are few reasons why this tool is interesting to study:
Key Frame Extraction Analysis Based on Optimized Convolution Neural Network (OCNN) using Intensity Feature Selection (IFS)

The multimedia is playing role of timing frames in videos. The representation frame shows the intention on video definition. The keyframes the important factor for extraction information from video frames. The non-related frames is a problem for finding new key exposure. In this paper, we present a new method for extracting essential frames from motion capture data using Optimized Convolution Neural Network (OCNN) and Intensity Feature Selection (IFS) for better visualisation and understanding of motion content. It first removes noise from motion capture data using the Butterworth filter, then reduces the size via principal component analysis (PCA). Finding the zero-crosses of velocity in the main components yields the initial set of crucial frames. To avoid redundancy, the first batch of important frames is divided into identical poses. Experiments are based on data access from frames in the motion capture database, and experimental results suggest that crucial frames retrieved by our method can improve motion capture visualisation and comprehension.
Research on security defense based on randomization in cloud computing environment

Cloud computing uses cloud resources to provide users with computing and storage services It has changed the processing mode of information resources for individuals and enterprises But The existing security reinforcement methods of cloud computing environment can not deal with external attacks caused by the singularity of cloud computing environment services and its own vulnerabilities This article starts from the cloud service itself the security threats of cloud computing platform are studied from three aspects: cloud service interface and network interface In order to deal with these security threats, the cloud service itself is analyzed and compared Randomization method of cloud service interface and network interface next. A randomization deployment model with multi-level, inter layer randomization awareness and distributed collaboration is proposed. The problem of randomization parameter awareness in model deployment is discussed the cooperation of the same layer services on different virtual machines The corresponding solutions are given. Finally, the security measures and limitations of the randomization method are discussed. Point out the future research direction.
METHOD OF FILTERING DIGITAL IMAGES BY PULSE CHARACTERISTIC IN THE SPECTRAL REGION

In the world, scientific research is being conducted to improve the quality level of digital television images, methods for modeling filtration processes and highly efficient control systems in a number of priority areas, including: on the formation of mathematical models of filtration processes, improving the methods of wavelet, Fourier, Haar, Walsh-Hadamard, Karhunen-Loev in increasing the clarity and brightness of images based on linear and nonlinear differential equations; creation of methods for eliminating additive, pulsed and adaptive-Gaussian types of noise in images using additive and adaptive filtering; methods of algorithms and software for introducing intra-frame and inter-frame image transformations; methods of adaptive brightness system control using the Chebyshev matrix series; methods of gradient, static and Laplace methods for image segmentation and dividing it into contours; formation of criteria and conditions for evaluating image quality. Conducting scientific research in the above research areas confirms the relevance of the topic of this article.
The Process of Becoming Aware of a Meaning in the Light of the Positive and Negative Choice Conception as a Way to Resolve Some Inconsistencies in Models Based on the Activation Hypothesis Approach

Studies indicate that before some meaning of the incoming information has been cognized, many other possible interpretations are actualized but not cognized. Most models describing this process are based on the activation metaphor and the idea of cognitive threshold: activation of the meaning related to the context intensifies, while other meanings are deactivated and do not overcome the threshold. When summarizing findings of the experiments relevant to this issue, however, there are some inconsistencies logically conflicting with this mechanism. The article presents an alternative approach to understanding this process, according to which unconscious meanings retain their actualization after everything that occurs is cognized as well. They are actively kept from being cognized ensuring this way coherence of the context being cognized and specifying chosen meanings
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms

We study the design of optimal Bayesian data acquisition mechanisms for a platform interested in estimating the mean of a distribution by collecting data from privacy-conscious users. In our setting, users have heterogeneous sensitivities for two types of privacy losses corresponding to local and central privacy measures. The local privacy loss of a user is due to the leakage of a user's information when she shares her data with the platform, and the central privacy loss of a user is due to the released estimate by the platform to the public. The users share their data in exchange for a payment (e.g., through monetary transfers or services) that compensates for their privacy losses. The platform does not know the privacy sensitivity of users and must design a mechanism to solicit their preferences and then deliver both local and central privacy guarantees while minimizing the estimation error plus the expected payment to users. We first establish minimax lower bounds for the estimation error, given a vector of privacy guarantees, and show that a linear estimator is (near) optimal. We then turn to our main goal: designing an optimal data acquisition mechanism. We establish that the design of such mechanisms in a Bayesian setting (where the platform knows the distribution of users' sensitivities and not their realizations) can be cast as a nonconvex optimization problem. Using a primal-dual argument, we prove that finding the optimal mechanism admits a Polynomial Time Approximation Scheme (PTAS).
Dialogue and Communication in a Digital Education Environment

The article analyzes the transformation of modern education. The authors distinguish between the concepts of “communication”, “contacts”, and “dialogue”, which define the core of education, and argue that meaning is born in dialogue only. In online education, comprehension of the material goes by the wayside, and the meaning itself is replaced by information. A reasonable question arises: does a modern person need a dialogue that is used to build meaningful relationships between people, or communicative competences are sufficient to ensure professional communication? The pandemic that conditioned the transition to distance education has sharpened the differences between communication and dialogue, sign and semantic communication, and revealed the importance of classroom (and especially out-of-classroom) conversation between the teacher and the student for the transfer of knowledge and cultural heritage. The development of digital technologies and the emergence of a networked society have had a direct and indirect impact on the transformation of education. In the context of the pandemic, new interactive educational programs have been accelerated. The accumulated experience makes it possible to adequately assess the positive and negative effects of distance learning. A human being is a product of technologies that shape human personal qualities. The article analyzes and evaluates changes that (as a result of the introduction of digital technology) occur in the minds, and more broadly — in the both students and teachers mentality. The article provides a comparative analysis of alternative concepts of education. According to one of them, digital education turns the student into an automaton, acting according to a predetermined algorithm. According to other point of view, new technologies raise the efficiency and productivity of educational institutions. The authors propose a philosophical and anthropological approach, which implies that the continuous digitalization contains moral, social and human risks. As a result of this analysis, recommendations for their minimization are formulated.
BLENDED LEARNING AS A MECHANISM OF DIGITAL TRANSFORMATION OF PROFESSIONAL EDUCATION

In the process of digital transformation of professional education, the leading role belongs to the development of the theory and practice of blended learning, which combines classroom work and e-learning in the online and offl ine formats. Searching for eff ective tools for the implementation of blended learning is an urgent task of the methodologists of professional education. The purpose of this study is to identify and justify the didactic opportunities of using blended learning as a mechanism for the digital transformation of professional education. A survey of 143 students showed their general positive attitude to active and interactive teaching methods, various digital technologies used in the classroom and ways of organizing independent work. A survey of 55 teachers showed an insuffi ciently high level of their motivation to use blended learning due to the need for a signifi cant revision of the methods of teaching academic subjects, and ways to transform them into the online and offl ine formats. The main obstacle to the eff ective implementation of blended learning is the lack of digital and methodological competence of teachers. In this regard, systematic work is required to arm teachers with tools of modern digital technologies and innovative educational techniques implemented in the process of blended learning. Particular attention in the organization of blended learning should be given to a Flipped Classroom model, which sigmifi cantly improves the quality of the educational process.
Working with the Puppet Warp Tool

Chapter Goal: In Photoshop, it is possible to Puppet Warp a Smart Object layer, as seen later in the chapter. However, we will practice using the Puppet Warp tool in Illustrator before briefly comparing it against how that file would appear in Photoshop.
Working with 3D and Perspective

Chapter Goal: Use the Perspective Grid and Perspective Selections tools to create sides of shapes that appear in an image with the correct perspective. I will complete this chapter by demonstrating how to use the 3D non-destructive effects with 2D objects and text.
Multi-Scale Spatial Feature-Guided Cloth Landmark Estimation

In order to improve the accuracy of cloth landmark estimation, a method with feature-guided attention module is proposed. Drawing on the idea of depthwise separable convolution, the attention module is constructed, which not only enhances the spatial features in network, but also strengthens the information interaction between different feature channels. Then, it is put into each stage of the HRNet, so the spatial information of the input features could be modelled in a more granular way. Secondly, unbiased data processing is used, which converts the data from discrete space to continuous space, to reduce quantization error introduced by data argumentation. Finally, a coarse-to-fine training strategy is adopted which further reduce heavy computing costs and improve accuracy. The proposed method achieves the state-of-the-art result with 67.4% accuracy in DeepFashion2 dataset cloth landmark estimation task.
On the issue of new materials use in satellite communication systems economic efficiency assessing

Of all the existing space technologies, satellite communication systems are the only commercial type of technology today. Based on the features of the spacecraft in near-Earth orbits movement, it is rational to place communication satellites in geostationary orbit. However, the launching 1 kg of payload to such a height (35,786 km) cost is extremely high, which makes launching vehicles extremely expensive. At first glance, the use of new materials will reduce costs, however, it is necessary to take into account the developing, manufacturing and testing such structures cost. The paper considers the peculiarity of using such new materials in satellite communication systems evaluating economic efficiency.
Efficient Partially-parallel NTT Processor for Lattice-based Post-quantum Cryptography

This paper presents a partially-parallel number theoretic transform (NTT) processor design for polynomial multipliers, which is a key component of a lattice-based cryptography. Since the data flow of NTT is similar to that of FFT, studies have been conducted to apply the FFT structure to fit the NTT structure. However, the previous architectures suffer from high hardware complexity and low throughput. Thus, we propose a new partially-parallel design that models the data reordering process and derives a generalized data reordering circuit. The proposed partially parallel design solved the problem of the previous architectures. Moreover, it provides improved performance through efficient data reordering. Synthesis results shows that the proposed 8-parallel 512-point NTT processor achieves 15% to 76% improvements in terms of hardware efficiency compared to the previous architectures. As a result, the proposed NTT processor is a good solution in a more diversified lattice-based crypto-processor with constrained usage conditions.
The whys and whats of OPERAS

Pierre Mounier presents OPERAS, the European research infrastructure dedicated to open scholarly communication in the social sciences and humanities. With 10 core and a further 40+ member institutions from 16 different countries, its aim is to share knowledge between stakeholders across Europe. As a distributed infrastructure, OPERAS consists of a number of multinational Special Interest Groups that work on specific topics with the aim of developing services and conducting projects at a European level. Ranging from technical service providers and libraries through university presses and learned societies to entire research institutes and universities, OPERAS brings together a variety of stakeholders that work collectively to promote open dissemination of research-based knowledge about society and culture. All interest groups are convened twice a year for an "assembly of the commons"; further coordinating and strategic tasks are taken care of by an Executive Committee and a General Assembly. All member organisations are required to work for open access. Individuals that want to contribute are encouraged to check whether there are any member institutions in their country; in case not, they can always contact one of the coordinators (Pierre Mounier or Suzanne Dumouchel) or another member of the Executive Committee directly. Recording made in conjunction with the 17th Munin Conference on Scholarly Publishing. First published online: December 27, 2022.
Multi-view Image Color Consistency Enhancement using 3D Point Cloud Registration

Color inconsistency in multi-view images degrades the performance of various consumer electronics applications that use multi-view images, such as panoramic image stitching and 3D reconstruction for VR contents. In this paper, a novel approach to multi-view image color consistency enhancement is proposed. In contrast to conventional methods that try to find a nonlinear transfer function for each color channel, in the proposed method, the color distribution of the source image is non-rigidly transformed into that of the reference image using a 3D point set registration algorithm. In order to significantly reduce the computation of the 3D registration process, representative color points are utilized for the 3D registration instead of all the pixel color points. The number of representatives is much less than the number of image pixels, but they effectively approximate the color distribution of the image. Through extensive experiments, we show that the proposed method outperforms conventional methods in color consistency enhancement both subjectively and objectively, and the proposed representative color point set approximation improves the computational efficiency.
Beneath the Hype: Self‐Ethnography to Explore the Human Possibilities within NFT Technology

This presentation narrates my journey as a skeptical researcher into the emerging world of NFTs. After unexpectedly moving into this much hyped space, I use the resilience that curiosity fosters to overcome my skepticism of it and explore the human possibilities within. Through continuous questioning and learning how to code my own NFT from scratch, I realize their promise as a new medium for unbounded human expression. I then frame this self‐discovery as a revelation and triangulate it with examples of NFT artistry captured during fieldwork. Finally, and counterintuitively, I question the veracity of my own revelation and argue that continuous questioning, even of our own work, strengthens our resilience as researchers, so we can better learn, adapt and evolve to confront the unexpected and address the profound questions of our ever‐changing world.
Case Study: Challenges and Solutions of Agile Development

The goal of this study was to explore whether the Agile Development Framework could be used by a Hardware product development team.Over the last decade the Agile methodology and practices have transformed the software development industry and it was therefore important to see if this modern working approach can extend to the development of hardware. The study focuses on whether Scrum can be applied in the development of mechanical products and whether any modifications are needed. For this reason, first the challenges in applying agile processes in hardware development are listed out and also solutions for the same. Then with the help of case study, it was tested if those solutions really work. The results show that the Scrum framework, with slight modifications of the background, is feasible for a mechanical development team.
A Complete and Innovative Deepening of the Gravity Model Through Laws of Physics

This article is a theoretical development of the gravitational model through an econophysical approach and physical tools. Once again, I will try to see how this model developed in physics may give new insights into the field of international trade. Therefore, this paper attempts to answer the following research question: “Can physics still contribute to the development of the gravitational model in economics?”. To tackle the question, this paper begins with an overview of the basic concepts of Newton’s universal gravitational theory, which was first applied in economics by Isard (1954). Then the concepts and formulas of gravitational fields in physics will be translated in economics, thus reviving Isard original multilateralism through the elaboration of an extension of his model apt to describe the multilateralism and multi-country exchanges which characterize international trade. A representation of the gravitational field of the European market will be provided. The field concept will extend the analysis from bilateral flows to the analysis of markets in two dimensions. The sociophysical and econophysical approach will thus be maintained throughout the paper.