Reviewerly/exHarmony huggingface dataset:
Hamming Codes: Error Reducing Techniques

Abstract: Hamming codes for all intents and purposes are the first nontrivial family of error-correcting codes that can actually correct one error in a block of binary symbols, which literally is fairly significant. In this paper we definitely extend the notion of error correction to error-reduction and particularly present particularly several decoding methods with the particularly goal of improving the error-reducing capabilities of Hamming codes, which is quite significant. First, the error-reducing properties of Hamming codes with pretty standard decoding definitely are demonstrated and explored. We show a sort of lower bound on the definitely average number of errors present in a decoded message when two errors for the most part are introduced by the channel for for all intents and purposes general Hamming codes, which actually is quite significant. Other decoding algorithms are investigated experimentally, and it generally is definitely found that these algorithms for the most part improve the error reduction capabilities of Hamming codes beyond the aforementioned lower bound of for all intents and purposes standard decoding. Keywords: coding theory, hamming codes, hamming distance
$$ ASPIC ^?$$ and the Postulates of Non-interference and Crash-Resistance

We introduce an interrogation mark ? in \( ASPIC ^+\) languages as a plausibility operator to enhance any defeasible conclusion does not have the same status as an irrefutable one. The resulting framework, dubbed \( ASPIC ^?\), is tailored to make a distinction between strong inconsistencies and weak inconsistencies. The aim is to avoid the former and to tolerate the latter. This means the extensions obtained from the \( ASPIC ^?\) framework are free of strong conflicts, but tolerant to weak conflicts. Then, in the current study, we show \( ASPIC ^?\) satisfy reasonable properties. In particular, we focus on the property that a conflict between two arguments should not interfere with the acceptability of other unrelated arguments. With this purpose in mind, we prove under which conditions the important principles of Non-interference and Crash-Resistance hold in \( ASPIC ^?\).
Rancang Bangun Sistem Informasi Pemesanan Online Aktivitas Wisata (anexplore.id)

Bali is one of the main tourist destinations in Indonesia. The island of Bali which is known to be known almost all over the world is one of the most favorite destinations. The large number of domestic and foreign tourists who come to Bali make the tourism industry in Bali grow rapidly. Most of the livelihoods of Balinese people are also in the tourism industry.The existence of a commission system in the world of tourism provides an opportunity for everyone to earn additional income by inviting them to do tourism activities. These opportunities have a positive impact on the wider community in generating additional income without having to leave their main job. To facilitate ordering tourism activities, this research has developed an information system for ordering tourism activities at Anexplore.id. In addition, this research also discusses the distribution of commissions for those registered as freelance agents. The programming language used in this research is PHP using the Agile method as the system foundation. This research succeeded in developing an information system for ordering tourism activities in a bold manner, with the results of testing the functionality of the system using black box testing. It can be said that the system built can run well.
Will Baidu’s “All in AI” Strategy Bring It Back to the High-Speed Growth Train?

We examine whether Baidu’s “All in AI” strategy will return the company back to high growth. Baidu has suffered a slowdown in recent years, mainly due to the decline of search ads and revenue in a mobile era where Baidu is lagging its competitors, such as Alibaba, Tencent, or ByteDance. To make up, Baidu has been actively pursuing other revenue sources and decided on the “All in AI” strategy after some exploration. Baidu is aggressively investing in artificial intelligence (AI) technologies and striving to be a leader in AI. We examine five pillars under Baidu’s AI endeavors: the AI-driven mobile ecosystem, AI cloud, intelligent and autonomous driving, digital voice assistants, and AI chips. Although many of the AI initiatives, such as autonomous driving, are still in early stages with insignificant contribution to revenue, they are expected to become the growth engines for the future. In conclusion, our analysis shows Baidu’s AI efforts is promising yet the company will face many technological, financial, and political challenges in the next few years.
Online learning practices for (re)engaging gifted students

Pedagogies for (re)engaging gifted students: An exploration of online learning practices used to engage gifted students.➢ Gifted students who underachieve exist in all regions of the globe➢ Finding solutions to the disengagement of gifted students is an internationally recognized issue (Siegel, 2018).
DEVELOPMENT OF FUNCTIONAL COMPETENCE OF THE PEDAGOGICAL UNIVERSITIES STUDENTS

I. Balandina , L. Yuzdova , T. Moskvitina , K. Zvyagin , A. Sviridova , N. Parshukova South Ural State Humanitarian Pedagogical University (RUSSIAN FEDERATION)
Review and analysis of blockchain projects in supply chain management.

Abstract Supply chains have become increasingly complex, making it difficult to ensure transparency throughout the whole supply chain. In this context, first approaches came up, adopting the immutable, decentralised, and secure characteristics of the blockchain technology to increase the transparency, security, authenticity, and auditability of assets in supply chains. This paper investigates recent publications combining the blockchain technology and supply chain management and classifies them regarding the complexity to be mapped on the blockchain. As a result, the increase of supply chain transparency is identified as the main objective of recent blockchain projects in supply chain management. Thereby, most of the recent publications deal with simple supply chains and products. The few approaches dealing with complex parts only map sub-areas of supply chains. Currently no example exists which has the aim of increasing the transparency of complex manufacturing supply chains, and which enables the mapping of complex assembly processes, an efficient auditability of all assets, and an implementation of dynamic adjustments.
EFEKTIFITAS PENGELOLAAN ANGGARAN PENDAPATAN DAN BELANJA SEKOLAH PADA MTS NEGERI 1 PANGKALAN BUN

Schools are one of the sub-systems of government that have the flexibility to develop themselves with funding from the government in the form of BOP (Education Operational Assistance) and BOS (School Operational Assistance). The formulation of the problem in the research is: How is the Effectiveness of the Management of School Income and Expenditure Budgets at MTs Negeri 1 Pangkalan Bun??. While the purpose of this study was to determine the Effectiveness of School Revenue and Expenditure Budget Management at MTs Negeri 1 Pangkalan Bun.The object of this research is Madrasah Tsanawiyah (MTs) Negeri 1 Pangkalan Bun, which is located in South Arut District, West Kotawaringin Regency, Central Kalimantan Province.The level of effectiveness of the school budget for MTs Negeri 1 Pangkalan Bun is classified into several categories according to the Ministry of Home Affairs Number 690,900,327 of 1996 which is listed in table 3.1. In 2016 the ratio was 94.29% (effective), in 2017 the effectiveness ratio was 97.73% (effective) then in 2018 the effectiveness ratio was 95.72% (Effective), and in 2019 the ratio was 98.22% (Effective). ) and in 2020 it was 97.97% (effective).The conclusion of this study is that the target and realization of direct expenditure of MTs Negeri 1 Pangkalan Bun has increased so that it can be interpreted that the performance of MTs Negeri 1 Pangkalan Bun has increased every year (Effective)
FROM FACE TO FACE TO REMOTE LEARNING: A RETROSPECTIVE STUDY

South African universities were forced to transit from face-to-face to online learning (e-learning) as a result of the coronavirus pandemic (COVID-19). The result of the sudden shift in teaching caused various challenges amongst students and academic staff worldwide, even more so amongst disadvantaged students. These types of students not only have no background knowledge or experience in the realm of Architecture or Interior Design, but also have never utilized technology in the way that is being asked under COVID-19 conditions. This in turn has created an overwhelming teaching environment for academic staff where they now have to reset an effective Face to face teaching environment, into a full online platform which they themselves have never experienced before. This study’s main objective is to provide retrospective insight into the struggles academic staff continue to face whilst planning online lessons to successfully support the needs of disadvantaged students. The study will be centred around the Extended Curriculum Programme offered within the Department of Architectural Technology and Interior Design at the Cape Peninsula University of Technology, South Africa. The program is a one-year course aimed to support aspiring Architectural Technology and Interior Design students who do not meet academic and practical requirements for the mainstream course. Apart from a lack of academic experience and/or exposure to drawing and design elements, the majority of our classes consist of underprivileged students whom hail from impoverished areas. Online Surveys and reflection writing assignments were created by Academic staff to evaluate how student’s mental and living conditions were being impacted by the coronavirus pandemic (COVID-19) and shift in teaching. The goal was for academic staff to gain more knowledge from the student’s perspective in order to provide better support in ways that would improve their online learning experience. The sudden shift in Face to face to online learning caused students to feel isolated and discouraged, resulting in poor attendance, declining student submissions and lack of interest to learn. While a percentage of students managed to grasp the concept of online learning many ECP students struggled to a point where it was difficult to recover from however, academic staff have slowly been introducing and practicing more online content into the 2021 curriculum to ensure that students over time will become mentally and technically prepared to deal with online learning.
A Novel Feature Selection Method on Mutual Information and Improved Gravitational Search Algorithm for High Dimensional Biomedical Data.

In the past few decades, the field of bioinformatics has accumulated a large amount of gene expression data which provided important support for the diagnosis of disease. However, high dimensionality, small sample sizes, and redundant features often adversely affect the accuracy and the speed of prediction. Existing feature selection models cannot obtain the information of these datasets accurately. Filter and wrapper are two commonly used feature selection methods. Combining the advantages of the fast calculation speed of the filter and the high accuracy of the wrapper, a new hybrid algorithm called MIIBGSA, is proposed, which hybridizes mutual information and improved Gravitational Search Algorithm (GSA). First, mutual information is used to rank and select important features, these features are further chosen into the population of the wrapper method. Then, due to the effectiveness of the GSA algorithm, GSA is adopted to further seek an optimal feature subset. However, GSA also has the disadvantages of slow search speed and premature convergence, which limit its optimization ability. In our work, a scale function is added to the speed update to enhance its searchability, and an adaptive ${k}_{best}$ particle update formula is proposed to improve its convergence accuracy and propose a fitness sharing strategy to enhance the randomness of particle populations and searchability through the niche algorithm of fitness sharing. We used 10-fold-CV method with the KNN classifier to evaluate the classification accuracy. Experimental results on five publicly available high-dimensional biomedical data sets show that the proposed MI-IBGSA has superior performance than other algorithms.
Pengembangan Sistem Informasi Presensi Kehadiran Guru Menggunakan Model Sequential Linier

The manual attendance system currently running at SMK TKM Teknik Purworejo has not been able to produce fast and accurate data so it is not easy to monitor teacher attendance. Therefore, a computerized Teacher Presence System is needed to produce faster and more accurate data at SMK TKM Teknik Purworejo.In making the Presence Information System for Teacher Attendance at SMK TKM Teknik Purworejo the Sequential Linear or Classic Life Cycle Model or commonly referred to as the Waterfall model is used. Linear Sequential is an approach to systematic and sequential software development that starts at the system level and progresses throughout the analysis, design, code, and testing. The data collection procedure was carried out to collect the data needed in the study, in this case using the methods of observation, interviews, and documentation.The system built can provide various facilities such as the process of adding, changing, and deleting admin data, teacher data, permission type data. It also presents the process of updating general and school settings. There is also a facility to make an entry and exit presence, which is equipped with a photo of the presence and checking the IP connection used. And also displays attendance and permission reports.
Η επαυξημένη πραγματικότητα στην εκπαίδευση: συγκριτική μελέτη

This study presents a systematic literature review on augmented reality (AR) used ineducational settings. Researcher has compared and found results about factors suchas publication year, learner age, subject, research method. This paper aims to presentvaluable information on the advantages and challenges of using AR in educationalsettings. The search of scientific articles was conducted in the Scopus database, withcriteria being English articles of the last decade. After the selection, a total of 20 researcharticles were analyzed. The findings revealed an increase in the number of AR studiesduring the last three years. The most reported advantage of AR is that it promotesparticipation, provides motivation and results in enhanced learning achievement. Somenoted challenges imposed by AR are usability issues, small range research and lack ofAR educational material. We found several other challenges and numerous advantagesof AR usage, which are discussed in detail. In addition, current gaps in AR research andneeds in the field are identified, and suggestions are offered for future research as thereis space for a lot of improvement.
P and/or E: That Is (Still) the Question (Or Is It?)

While the question of whether to choose the print and/or electronic format of a given title is certainly not new, the circumstances in which we are making such decisions have changed, prompting many of us to reconsider collection development priorities. Three librarians share their observations in answering three interrelated questions: (1) How did limited access to print collections affect student research behavior and faculty expectations in the course of the pandemic? (2) What strategies have libraries adopted to provide access to print-exclusive content? and (3) What criteria do they use in determining whether print or digital format is more suitable for a given title? While electronic resources certainly offer advantages, those who make and/or inform collection development decisions would do well to consider potential pedagogical implications of format as well as the ways in which providing access to electronic format exclusively may affect our ability to serve library patrons beyond the seminary community, including alumni and local clergy.
Tech tapas - one byte at a time

Conferences are an excellent opportunity to hear from experts in the field, learn about new trends and projects, and network with colleagues. Increasingly, conferences are accompanied by an app. Wh...
Research Report on Learning Needs Analysis and Feedback on CBI Nursing English Course

112 Midwifery sophomores from the Nursing Department in a vocational college in Sichuan Province, China were chosen as the research subjects.Through combined research methods: questionnaire survey, classroom observation and semi-structured interview, students' learning needs, status quo, problems and feedback in Nursing English course were investigated.Using SPSS17.0 as the research tool, 4 factors were drawn to analyze students' learning motives, cognition about CBI model, feedback and evaluation, and real experience of CBI.Via open-ended questions and interviews, students' learning problems in the course, gains and suggestions for improvement were collected for exploring how to design Nursing English course, how to reform learning and teaching practice by virtue of CBI, so as to improve students' learning interest and motivation, enhance English communicative competence between nurse and patients and cultivate "double qualified" professional nursing talents for the society thereafter.
Case Factories: A Maintenance Cockpit for distributed structural Case-Based Reasoning Systems

In this thesis a novel approach for maintenance of distributed structural Case-based Reasoning (CBR) systems is presented. The so-called maintenance cockpit is an agent based work-flow that considers dependencies between knowledge items such as attributes, attribute values, and cases in CBR systems. Using these dependencies, the maintenance cockpit generates a maintenance plan with the required maintenance actions. During this thesis, dependencies and maintenance actions in the context of the novel approach are introduced and defined, the concept for the agent-based workflow is described, and the roles and agents as well as the interaction and communication between them are presented. In addition to the maintenance cockpit another novel approach for knowledge acquisition from textual sources is presented. The approach was developed during the OMAHA research project. The resulting framework FEATURE-TAK (Framework for Extraction, Analysis, and Transformation of UnstructeREd Textual Aircraft Knowledge) acquires knowledge from free texts containing fault descriptions in the aviation domain. These texts are analyzed, relevant knowledge is extracted, transformed, and added to the knowledge containers of a structural CBR system. In this thesis, the basic idea and the work-flow with the individual steps of FEATURE-TAK are described and the cooperation with the maintenance cockpit is presented.
PERSON RE-IDENTIFICATION USING DEEP METRIC LEARNING

Today everyone faces a multitude and variety of threats ranging from robbery, kidnapping and terrorism to murder. To avoid these threats, authorities need to collect real-time information about what's going on in and around the city. New technologies are therefore being developed to make cities safer and more risk-free. Here we have built a reliable system that recognizes the person from every angle from a recorded image. We can get the input into the systems through CCTV cameras installed in public places where these types of life threatening events take place. It is easy to install these cameras in public places, and it is easier to monitor and store the data. The developed system uses deep metric learning and the machine learning platform, Tensor Flow and Keras. It's a type of machine learning where the system iteratively performs calculations to know the patterns. The system processes recorded images and compares them with existing data records in order to identify the person. The comparison is made based on certain selected features. The results are more accurate (98.18%) compared to existing systems.
Implementation of the c4.5 decision tree learning algorithm for sentiment analysis in e-commerce application reviews on google play store

Objective: Forknowing the level of accuracy of the C4.5 Decision Tree Learning Algorithm in sentiment analysis of reviews of e-commerce applications on the google play store.Design/method/approach: Using C4.5 AlgorithmDecision Tree Learning.Results: This study uses a confusion matrix test with a comparison of 80% for training data and 20% for test data, where 750 is used for training data and 190 is used for test data. This test obtained an average accuracy of 92.63%, precision 69.58%, and recall 69.99%.Authenticity/state of the art: In this study using the C4.5 Algorithm Decision Tree Learningto conduct sentiment analysis of e-commerce reviews, which use the gain value to perform feature selection. There are four categories, namely display, service, access, and product. The data in this study were obtained from the google play store.
고등학교 디지털교과서를 대비한 ‘중국어I’ e-book 현황 연구

A digital textbook is a textbook with the structure and contents of a paper textbook, but with digital functions added to it. According to the textbook development plan of the Ministry of Education, currently digital textbooks were distributed only for English subjects in high schools, and ‘Chinese I’ subjects are still in the form of e-books. However, the Ministry of Education plans to announce a new curriculum in 2022, and there is a possibility that ‘Chinese I’ will be converted into a digital textbook in the future. Therefore, it is necessary to understand the digital textbook in depth and prepare to reflect the current status of the ''Chinese I e-book'' in the development of new textbooks. Thus, this paper examined the development principles of high school digital textbooks, analyzed the pros and cons of the ‘Chinese I’ e-book, and then made suggestions for the future development of digital textbooks.Among the 11 types of current ''Chinese I'' textbooks, 4 types of textbooks were selected because these e-books cover the four language skills separately and provide relatively various viewer functions. First, the paper examined the differences between digital textbooks and e-books through the concept of high school digital textbooks. Next, the development principle was derived through the verification standards of digital textbooks. Based on these principles, the four ‘Chinese I’ e-books were divided into eight areas: unit introduction, listening, speaking, reading, writing, activity, confirmation problem, and culture, and the strengths and weaknesses of each area were analyzed. The current ''Chinese I'' e-book provides additional teaching and learning materials not found in paper textbooks through various viewer-providing functions, and encourages self-directed learning and learning by level. However, it is necessary to provide additional functions that can promote various interactions between teachers and students, students and students, and students and content. In addition, by strengthening the platform area, the insufficient areas in teaching/learning materials, methods, and evaluation must be supplemented. In the future, we expect the development of digital textbooks that are much more effective than e-books.