Reviewerly/exHarmony huggingface dataset:
Introduction

The historical development of statistics and artificial intelligence (AI) is outlined, with machine learning (ML) emerging as the dominant branch of AI. Data science is viewed as being composed of a yin part (ML) and a yang part (statistics), and environmental data science is the intersection between data science and environmental science. Supervised learning and unsupervised learning are compared. Basic concepts of underfitting/overfitting and the curse of dimensionality are introduced.
FAIR, FRAND and open - The institutionalization of research data sharing under the EU data strategy

As part of its Open Science agenda, the EU is mainstreaming open access to research data through a mix of instruments. The reforms are an attempt to institutionalise calls from several sectors and organisations for publicly funded research to be generally accessible without restraint on the basis that science should never be locked behind paywalls. The Open Data Directive in particular is intended to foster unhindered and non-discriminatory access to data derived from publicly funded research for both commercial and non-commercial uses. Open content licensing plays a key role. The recent Data Governance Act and the proposed Data Act further institutionalise research data governance. This chapter examines the significance of these developments for academic research, particularly from the perspective of academic freedom which is a core element of scholarship.
AI machines as inventors: The role of human agency in patent law

In recent years, there has been growing concern about the detrimental impact that artificial intelligence (AI) machines are having on patent law. While these accounts rest on a simple historical claim, namely that AI machines create novel and unprecedented problems for the law, they are largely ahistorical. To begin the process of rectifying this oversight, this chapter examines one of the assumptions that is supposedly being challenged by AI-machines, namely the idea that inventorship in patent law is an exclusively human activity. To do this, I look at the strategies US patent law used in the early to mid-part of the twentieth century to embrace the non-human agency associated with the generation of organic chemical compounds and what this means for AI machines as inventors.
Kernel Methods

Kernel methods provide an alternative family of non-linear methods to neural networks, with support vector machine being the best known among kernel methods. Almost all linear statistical methods have been non-linearly generalized by the kernel approach, including ridge regression, linear discriminant analysis, principal component analysis, canonical correlation analysis, and so on. The kernel method has also been extended to probabilisitic models, for example Gaussian processes.
Analysis of Fundamental Movement Skills for Elementary School Students Participating in a Virtual Reality Sports-based Health and Fitness Class

목적: 본 연구는 가상현실 스포츠실을 활용을 통한 기본움직임기술(FMS) 향상 발달을 탐색하는 것에 목적이 있다.방법: 가상현실 스포츠실이 있는 C지역 O초등학교의 건강체력교실에 참여한 비만 학생 3, 4학년 4인을 대상으로 영상분석을 위해 영상 촬영과 심층면담, 참여관찰 등 다각적인 방법으로 자료 수집 후 분석하였다.결과: 가상현실 스포츠실을 활용하여 기본움직임기술(FMS)인 이동움직임기술, 조작움직임기술, 안정움직임 기술을 촬영한 영상을 CFMS척도인 체크리스크와 면담을 질적으로 분석하여 연구참여자의 움직임 기술이 각 단계에서 성숙단계로 성장하였으며 평균과 움직임기술의 순위를 작성하였다.결론: 가상현실 스포츠실을 활용한 건강체력교실에서 기본움직임기술(FMS)의 향상 발달에 긍정적인 효과가 있는 것으로 나타났다. 그러나 초등학생을 대상으로 된 기본움직임기술(FMS)의 척도가 개발되어야 하며 정규수업에서의 연구가 이루어질 필요가 있다. Purpose: The purpose of this study is to explore the development of Fundamental Movement Skills(FMS) improvement through the use of virtual reality sports rooms.Methods: Data were collected and analyzed in various ways such as video screening, in-depth interviews, and participatory observation for image analysis of four obese students in the third and fourth grades who participated in the health and fitness class at O Elementary School in Region C, which has a virtual reality sports room.Results: Using a virtual reality sports room, we qualitatively analyzed the images taken of undamental Movement Skills(FMS), such as movement movement technology, manipulation movement technology, and stable movement technology, and interviews with check risk, which is a CFMS scale. It has grown to the maturity stage in , and the ranking of average and movement skills has been prepared.Conclusion: It was found that there was a positive effect on the improvement and development of basic movement skills (FMS) in health and fitness classes using virtual reality sports rooms. However, it is necessary to develop a scale of basic movement skills (FMS) targeting elementary school students and to conduct research in regular classes.
Analysis and Optimization about Federated Learning in Uploading Zone

본 논문에선 자유롭게 분포된 디바이스가 연합 학습에 참여하기 위한 업로딩 지역을 제안한다. 업로딩 지역은 디바이스의 위치에 따른 경로 손실을 고려한 양자화 레벨에 따라 내곽과 외곽, 두 영역으로 나눠진다. 내곽 영역에 위치한 디바이스는 기지국과 가깝기 때문에 충분한 비트를 양자화 과정에 활용하지만, 외곽 영역에 위치한 디바이스는 기지국과 멀리 떨어져 있어 상대적으로 적은 비트를 양자화 과정에 활용한다. 따라서 이러한 양자화 이질성 환경을 고려하여 전역 학습 성능을 최대화하도록 로컬 학습을 최적화하였다. 아울러, 학습 성능을 최대로 하는 최적의 업로딩 지역의 크기를 찾기 위한 최적화 문제를 제안한다. 위의 결과는 다양한 개인 데이터를 가진 많은 수의 IoT 센서로 구성된 AI 인지 IoT 네트워크에 활용될 수 있다. In this paper, we propose an Uploading Zone where devices can participate in federated learning, given they are distributed randomly. Here, the uploading zone is divided into the two regions, inner and outer regions, according to the quantization levels considering the path loss depending on device location. Some devices located in inner region utilize a sufficient number of bits for quantization because they are close to Base Station (BS), but the devices located in outer region use a fewer bits for quantization because they are far from BS. Hence we optimize the local update under this heterogeneous quantization condition, so as to maximize the global learning performance. To this end, we formulate an optimization problem to determine the optimum size of uploading zone that leads to the maximum learning performance. This finding can serve as an appropriate framework for AI-native IoT Networks which consist of a huge number of IoT sensors with diverse private data.
A novel reversible data hiding scheme for <scp>VQ</scp> codebooks

Abstract Vector quantization (VQ) technique is widely used in digital image compression. Some reversible data hiding schemes have been proposed to embed secret data (eg, password, timestamp, and watermark) into a VQ index table. In real application scenarios, users usually train codebooks on their own data sets instead of using the public codebooks directly. Therefore, different from the conventional schemes, in this paper we propose a novel reversible data hiding scheme for VQ codebooks instead of VQ index tables. All permutation operation is adopted to a sorted codebook to find usable codewords and embeds secret data. Experimental results demonstrate that the embedding rates of our proposed scheme for different‐sized codebooks are appreciable. The embedded codebook can also be directly applied to decompress images.
Reflection of peculiarities of the gold-bearing weathering crust composition in mineralogical halos and geochemical anomalies on the example of some sites of the Eravnensk prospective area, Republic of Buryatia

The composition and gold-bearing potential of linear-areal weathering crusts of the Eravnensk prospective area in the Republic of Buryatia, that are located within complex gold-bearing ore prospects, are considered. Data on the forms of gold occurrence and some of the gold features are provided. The character of gold ore mineralization in deluvium and proluvium is shown. The effectiveness and reliability of various geochemical methods are compared in relation to the landscape conditions of the work area.
Globalization in the 21st Century and Its Effects on Entrepreneurism and Innovation Ecosystems: A Call to Action for Africa

In this paper, we briefly discuss how globalization has, over the last thirty years, influenced virtually every aspect of world political, economic, social and environmental development. This discussion will set the stage for our overview of innovation and entrepreneurism and economic development, gleaning insight from a report from Ernst &amp; Young (see The Power of Three 2013) and from another report focusing data from 49 African countries (see - “Global Entrepreneurship Monitor – 2018/2019 Annual Report”). This is then followed by insights representing a “European perspective” on developing entrepreneurship in Africa. Finally, we focus on what needs to be done to further grow entrepreneurism and innovation in Africa and then provide a “call to action” to achieve this growth.
Open source library systems: A guide

"Open source library systems: A guide." Journal of Web Librarianship, ahead-of-print(ahead-of-print), pp. 1–2
https://journals.scholarpublishing.org/index.php/ASSRJ/article/view/14030

The study examined the effect of corruption on service delivery in local governments, a case study of health service delivery in Magwi County-Eastern Equatoria State of South Sudan. Specifically, study examined the level of corruption in health service delivery Magwi County-Eastern Equatoria State of South Sudan; assessed the quality of health service delivery in Magwi County-Eastern Equatoria State of South Sudan; and established the effect of corruption on health service delivery in Magwi County-Eastern Equatoria State of South Sudan. The study used descriptive research design. The study population was 75 where a sample of 63 respondents was selected using simple random and purposive sampling techniques. The study used both self-administered questionnaire and interview guide. Findings revealed that, it is a common practice in public facilities to first cash in individual healthcare providers to receive treatment, money intended for healthcare services is embezzled, there is high rates of favoritism where family members, relatives and friends receive the treatment first before others, people pay bribes to receive treatment in public health facilities, and healthcare providers sell public drugs to individual drug shops. It is concluded that corruption is the reason why public investment in health coupled with high rates of private spending has not translated into good health outcomes. The study recommends an establishment of an independent system to supervise delivery of services as this will help reduce corrupt tendencies. Furthermore, GoSS should develop a political will to fight and reduce corruption in Local government and all sphere of public institutions.
Mineral base of copper in Russia: The state and development prospects for up to 2040

The state and reproduction structure of the raw material base of copper for the period of 1993-2021 are shown, and its development for up to 2040 is forecasted. An analysis was performed of the copper mineral reserve movement and of their extinguishing by types of the ore deposits. The risks and limitations are identified, that affect the stability of the raw material base. The necessity of intensification of the early phase geological exploration projects at the expense of the Federal budget is justified for preparation of the forecasted resources and for the creation of a "prospecting potential fund" for copper.
Development of Integrated Efficiency Model for Online Advertising: Case of Portable Fan Advertising

The performance of online advertising can be measured in various ways, but there is a lack of an integrated approach to it. In this study, we developed a model that can integrate various performance indices of online advertising by applying the concept of efficiency. In particularly, DEA(Data Envelopment Analysis) CCR-SE model with two input indices(CPM: Cost Per Mille, CPC: Cost Per Click) and two output indices(IMP: Impression, CTR: Click Through Ratio) was employed. In order to verify suggested model, the super-efficiency index was calculated with 22 samples of portable fan advertisement from ‘P’ corporation, and the difference in the super-efficiency index among advertising media channels and contents was statistically compared using the Kruskal-Wallis H test. In the result, there was a significant difference in the super-efficiency index among the advertising media channels and the contents. This result shows that the suggested model can integrate various performance indices to support rapid and objective advertising execution decisions. Furthermore, the suggested model can provide practical guidelines on which content is effective for a particular media channel.
Preface: 2022 International Conference on Culture, Education, Psychology and Communications (CEPC 2022)

Thanks for your participations in 2022 International Conference on Culture, Education, Psychology and Communications (CEPC 2022), which was re-scheduled to be held in virtual meeting via Tencent Meeting during December 10-11, 2022 in Ningbo, China due to the current severe situation of the epidemic worldwide. CEPC 2022 brought together innovative academics and industrial experts in the fields of cultural heritage, cultural communications, linguistics, humanities, history, education science, psychology, new media and social sciences to a common forum. The primary goal of the conference is to promote research and developmental activities in these fields and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.&#x0D; CEPC 2022 online meeting offered a chance for scientists and educators working in different areas and help them advance their own research and forge new professional relationships and collaborations. This virtual meeting including keynote speech, oral presentations, poster presentations and Q &amp; A section. The conference will be held every year to make it an ideal platform for people to share views and experiences in related areas.&#x0D; With warmest regards,&#x0D; CEPC Organizing Committees&#x0D; Ningbo, China
The Role of the School Management Team in the Management and Monitoring of the Curriculum in King Cetshwayo Secondary Schools

Monitoring teaching and learning is a significant leadership aspect of locating weaknesses to improve instruction and learner performance. The closer school leaders are to teaching and learning activities, the better the chances of success for learners. It is important to note that leadership in curriculum management is not confined to the principal, however. It is also delegated to the school management team (SMT) (deputy principals, heads of departments [HOD s]) and teachers tasked with the school’s academic programme. This study sought to examine the nature of curriculum management in secondary schools. A qualitative research design was adopted for the study. A purposive sampling technique was used to draw a sample of ten SMT members (four HOD s, three principals and three deputy principals) from ten high schools. The main research instrument for data collection was a focus group discussion used to collect qualitative data. Thematic analysis was applied to analyse the qualitative data from a transcribed focus group discussion. The findings reveal that SMT s and district officials play a key role in monitoring the curriculum in schools. The findings reveal that the involvement of the school governing body (SGB) and individual parents is restricted in their children’s schoolwork because of realities such as work commitments, language barriers and socio-economic background. Classroom visits are not done regularly to check curriculum coverage in relation to the heavy teaching and administrative workloads that HOD s carry. The findings also reveal that the district officials are not competent in specific subjects and that some do not visit schools due to heavy workloads or the location of schools in remote areas where the terrain is challenging to navigate.
The Impact of Unequal Contributions in Student Software Engineering Team Projects

Unequal distribution of work is a common problem in student team projects, undermining learning objectives and reducing student satisfaction with teamwork. More is needed to be known about the impact of unequal distribution of work on the performance of student software engineering teams and their members and the relationship between objective measures of unequal contribution and team-perceived unequal contribution. A greater understanding of these issues allows for targeted and personalised responses to these behaviours. We investigated several aspects of unequal contribution in student software engineering teams. We measured inequality of contribution using Git data from student software engineering teams, source code quality using code analyser SonarQube, and the team performance using grades. According to our results, most students under-contributed to their teams, and at least half the teams in each assignment had low equality of contribution or extreme inequality of contribution. Individual contribution styles did not strongly persist between modules. There were no consistent associations between inequality of contribution in the student teams and performance or code quality. When the contribution of the least active team member was less than 14% of their fair share, teams were likely to perceive an unequal distribution of contributions.
The Nature of Cryptocurrency, Central Bank Digital Currency, E-Money, Virtual Currency, In-Game Currency and Stablecoin: How They Are Regulated and Issues Associated with Them

This paper examines the nature of Cryptocurrency, Central Bank Digital Currency, E-money, Virtual Currency, In-game Currency and Stablecoin. The way how they are regulated under different jurisdictions and what issues are associated with them.
Violence, Positive Political Developments, and Financial Market Participation: Evidence from the Freedman's Savings Bank

Using a detailed depositor arrival data from the Freedman's Savings Bank, we examine how social unrest impacts policy makers' goals of increased financial participation and economic integration for minorities. We find that events that imperil public safety also decrease participation in banks. Alternatively, events that increase social stability increase the arrival of new depositors at the bank. We show that these differences in participation occur along racial lines during violent events. Our results demonstrate how social conditions can alter participation in the banking system.
BDT: An Ada Boost Classifier Ensemble with Decision Tree for Traffic Network Prediction

The identification of network traffic is now one of the most active study areas in the areas of network management and network security. Machine learning is a key technology that is utilized during the identification of network traffic research. The first step in analyzing and determining the various kinds of applications that are moving across a network is to classify the traffic flowing through the network. Internet service providers and other operators of networks can better manage the overall functioning of their networks by utilizing this method. Traditional techniques for classifying internet traffic include things like port-based, pay-load-based, and machine-learning-based methods. These methods are only a few of the many available. The Machine Learning (ML) methodology, which is employed by a great number of researchers and has gotten extremely effective accuracy results, is now the method that is the most often used. In this study, we have concentrated on evaluating network data traffic for 5G Network utilizing an ensemble approach known as AdaBoost ensemble with Decision Tree (BDT). To decrease training errors, boosting is a sort of ensemble learning that integrates a set of weak learners into a single powerful learner. AdaBoost works well with decision trees with only one level, hence these are the methods most often used. On the basis of the test data, the classification accuracy is an average of 98.2 percent, significantly surpassing other approaches.
Text Summarization Based On Ranking Techniques

Text summarization is a text-extracting technique that utilizes natural language processing approaches to computerize the task of recapitulating documented text that aims to determine the theme expressed. The fundamental purpose of text summarizing is to get valuable insights, which reduces reading time and hastens the flow of researching for information. Here are the two vital classifications in text summarization: extractive and abstractive. A few fantastic text summarization applications include social media monitoring, question-answering bots, medical cases, and video scripting. One of the major pitfalls in text summarization is topic identification. In order to overcome this drawback, there is a proposed hybrid solution capable of dealing with such ambiguity issues that utilize Text Rank and PageRank algorithms with cosine similarity.
Performance Comparison of 3D Video Encoders with Depth Map Filtering

In the 3D video, the virtual synthesized views are generated using texture videos and depth maps at the decoder. The quality of virtual synthesized views always affect the final display. The accuracy of depth maps is an important factor that decides the quality of synthesized views. The depth maps get distorted due to compression and result in synthesis distortion. For a better 3D display, depth maps are filtered and used in the view synthesis process. In this paper, we propose a modified bilateral filter for decoded depth map filtering. The filtered depth maps are used in the view synthesis process. The performance is evaluated using two different encoders: 3DV-ATM and HEVC and comparison is done using mean square error (MSE) and RD curves.
Mr. G. E. Moore’s Discussion of Sense Data

In this chapter, Mary Collins Swabey critiques G. E. Moore's discussion of sense data.
Remote interaction automation of the educational process participants

An approach to the organization of remote interaction between the educational process participants — teachers and students — in an electronic learning environment is given. The approach is based on the use of an additional software component «Learning task» for the electronic learning environment. The processes of its creature are described. An example of this component implementation based on the Model-View-Controller (MVC) concept is given. Keywords distance interaction, teacher, student, electronic learning environment, learning task fulfillment, educational process
Design and Develop a Mixed Reality System for Crime Scene Investigation Training –User Interaction and Ux Evaluation

Police investigation in real-life crime scenes is an essential aspect of forensic science education. However, the practicality of bringing young investigators to actual crime scenes is often hindered by the costs and challenges involved. In order to overcome these obstacles, new technologies such as Mixed Reality (MR) are being explored as a potential solution. MR technology offers an interactive and cost-effective way to simulate real-life crime scenes, providing a valuable training experience for young investigators. This paper presents a novel design of an MR system using Microsoft HoloLens 2.0, which is tailored to work in a spatial 3D scanned and reconstructed crime scene. The system was designed to be a cost-effective experience that helps young Kuwait police officers to enhance their investigation skills. In order to evaluate the system’s user experience and user interaction, the Questionnaire of User Interaction (QUIS) and User Interaction Questionnaire (UEQ) were utilised. The system was evaluated by 44 young police officers. Police students showed positive levels of satisfaction with user interaction and overall user experience with minimal negative feedback. Female students showed higher satisfaction with the overall impression compared to male students. Based on the positive feedback regarding the system expansion, the system will be taken into the commercialisation stage in the future to be provided as an essential tool for crime scene education and investigation practices.