Reviewerly/exHarmony huggingface dataset:
Problems and Directions of Mathematics Education in the Post-COVID-19 Era

Objectives The purpose of this study is to provide implications for the challenges and future directions of mathematics education in Korea in the post-COVID-19 era, based on the analysis of online education conducted during the COVID-19 pandemic.&#x0D; Methods To this end, domestic and foreign academic papers on the characteristics of mathematics classes in online education conducted during the COVID-19 pandemic, the impact of online education on students' mathematics learning, and the inequity of online mathematics learning and the use of technology in mathematics education are the main targets of literature analysis.&#x0D; Results It has been revealed that online education has reduced students' achievement in mathematics and deepened the polarization of mathematics learning among students. In particular, the decline in mathematics achievement of students in the lower achievement level was serious, and the cause was found to be because the online class environment made it difficult to receive help from teachers and required self-directed learning ability. In addition, online education has led to a deepening of the polarization of mathematics learning among students by acting as an unequal learning environment for students with insufficient mathematics learning capabilities or from underprivileged families to learn mathematics.&#x0D; Conclusions It is necessary to seek active use of technology as a way to alleviate the problem of learning polarization caused by the decline in mathematics achievement and learning inequity revealed in online education and to change mathematics education. To this end, it is necessary to develop and share a vision for mathematics classes using technology.
A Case Study on the Design of Blended Learning Korean Traditional Music Class for Prospective Elementary School Teachers

Objectives This study aims to examine the cases of practical Korean traditional music classes designed and applied blended learning that combine online and offline learning methods in elementary teacher training institutions, and to obtain educational implications and their effects.&#x0D; Methods The research method was implemented in terms of practical cases, and to this end, 61 third-year students were selected through standard sampling and convenience sampling at A University of Education in Gyeongnam to identify the entire process of designing and applying Korean traditional music classes.&#x0D; Results As a result of the study, the actual number of learners should understand the gradual change of learners rather than one-time.In addition, continuous evaluation, continuous evaluation is introduced and lower barriers. Second, in blended music practice classes should be used as possible applications and platforms that students can participate.Furthermore, it is urgent to establish a platform that lists learning history in one cloud form. Third, it is necessary to develop the competency development and expertise of professors who will proceed with blended music classes.It suggested that it was also encouraged to practice this.&#x0D; Conclusions It was suggested that various continuous follow the characteristics of students and learning, various continuous follow-up studies and learning.
A qualitative case study of the teacher experience at the IB MYP World School

Objectives This study explored the understanding of the IB program, the application of the national curriculum, the implementation of unit design, and the teachers' perceptions and experiences of conducting actual classes and evaluations, targeting IB MYP World School 3 teachers introduced into public education. And the purpose of this study is to reveal the possibility of spreading IB education and implications for the tasks.&#x0D; Methods To this end, data were collected, analyzed, and organized through focus group interviews with 10 IB MYP World School 3 teachers in A region.&#x0D; Results IB MYP World School teachers were making efforts to understand and apply the IB program from various angles, and as a result of data analysis, four themes were presented. First, after the introduction of the IB MYP program, changes in curriculum literacy and teaching and evaluation through teacher curriculum restructuring, class and evaluation design were summarized. Second, the aspects of teacher development and learning after experiencing the IB program at the IB MYP World School were described. Third, I looked at what teacher growth is through collaboration with fellow teachers to understand and apply the IB program, personal growth experience, and online and offline IB training experience. Lastly, since the IB MYP is not an easy program to understand and implement, I looked at the practical difficulties experienced by IB school teachers and the prerequisite tasks for the establishment and spread of the IB program in public education.&#x0D; Conclusions Therefore, through the IB MYP World School teachers' experience of implementing the IB program, teacher professionalism and identity were discussed. For the establishment of IB education, suggestions were made on the spread of consensus among the educational community, institutional supplementation of teacher assignment, and changes in the teacher training system.
Why did They Cross-Apply?: An Exploratory Study on the Experience of Cross-Applicants of High School Students in Korea

Objectives This study qualitatively explored the experiences of students who went to college by cross-application with a major which is different from the high school track.&#x0D; Methods In this study, six 3rd grade high school students participated who passed the university admission through cross-application. Through in-depth interviews with participants, data on experiences ranging from selecting high school tracks to changing tracks and cross-application processes were collected, and topics commonly revealed through a constant comparative analysis were identified.&#x0D; Results As a result of the study, participants decided on their tracks by considering only the fragmentary aspects of a specific track and then experienced difficulty and confusion in changing the track in the middle. Also, their cross-application tended to be hastily decided with the purpose of employment and entrance exams, lacking deep consideration. In addition, they expressed concerns and anxiety about their studies and adaptation after entering university.&#x0D; Conclusions Based on these results, this study suggested that sufficient information and deliberation are needed in the process of selecting high school tracks and counseling for college entrance, and academic and career guidance support at universities is required for cross-applicants.
A Study on the Experience of Child Abuse Reporting Process of Childcare Center Staff Who discovered Parents' Child Abuse

Objectives This study aimed to investigate the experience of childcare center staff in the process of reporting child abuse after identifying parent-to-child abuse.&#x0D; Methods The directors and staff at three childcare centers in Seoul, South Korea, who had experience discovering and reporting parent-to-child abuse were interviewed individually. The experience and process of child abuse reporting were analyzed inductively according to the steps of the Grounded Theory of Strauss &amp; Corbin (1998).&#x0D; Results The open coding of the childcare center staff experience and process of child abuse reporting resulted in six categories: ‘factors of child abuse reporting’, ‘situational context leading to child abuse reporting’, ‘challenges in child abuse reporting’, ‘reporting of child abuse by childcare center staff', ‘response strategy: internal vs. external’ , ‘result of child abuse reporting’. The axial coding enabled the construction of a paradigm model and a step-by-step reporting process. The selective coding enabled the integration and development of all categories based on the core category of conflict and change.&#x0D; Conclusions The process of reporting child abuse by daycare center employees went through stages of shock, anger, conflict, compensation and regret, and change after reporting. Recognizing the significance of reporting to prevent child abuse and the need for institutional devices, this study discussed efficient support measures for mandatory child abuse reporters in the childcare sector.
A Study on the Development of Web-based Writing Rating Criteria

Objectives The purpose of this study is to improve the validity and reliability of writing evaluation by developing rating criteria for web-based writing evaluation.&#x0D; Methods In particular, it was intended to develop rating criteria for writing evaluation based on Google Docs, a wiki tool that is actively used among web-based writing tools. To this end, the results of previous studies and ‘language and media’ textbooks were reviewed to extract web-based evaluation elements. After that, by expert discussion and by calculating the response ratio, average, CVR, CVI of the importance on rating criteria, content validity was verified. Finally, infit MnSq of the rating criteria were examined through Two-facet Rasch analysis.&#x0D; Results First, the rating criteria for web-based writing evaluation consist of a total 9 10 rating criteria. Second, as a result of the importance rating, it was found that Korean language education experts consider presenting information for purposes more important than visual styles such as font, size, frames, and hyperlink in web-based writing. Third, it was found that Korean language education experts had a discriminatory perception of the importance of each rating criterion.&#x0D; Conclusions The web-based writing rating criteria developed in this study can be useful in obtaining information about students' web-based writing skills and designing teaching and learning to enhance web-based writing skills.
Analysis of SW and AI Education research Trends for Digital Talent Development: Using the Subject Scope Literature Review Methodology

Objectives The purpose of this study is to derive educational implications and suggestions by analyzing research trends in SW and AI education to foster digital talent.&#x0D; Methods To achieve the objectives of the study, a scoping review methodology was used to identify research questions and search for keywords for the study. For literature selection, we used the PRISMA-ScR guidelines and checklist to select the literature, extract the data, and present the results as of February 2023.&#x0D; Results First, as a result of analysing the educational targets of SW and AI education by year, we found that the most studies were conducted on elementary school students from 2018 to 2022, followed by middle school students, university students, and high school students. This was influenced by the mandatory ‘information’ curriculum for elementary and middle school students and the implementation of policies to strengthen SW and AI education for university students. In addition, it was found that SW and AI education is disconnected for high school students, and it was suggested that ‘information’ education needs to be expanded in high schools to solve this problem. Second, the analysis of educational contents for each SW/AI education target was divided into ‘knowledge/understanding’, ‘application’, ‘analysis’, and ‘synthesis/evaluation’ by referring to Bloom's systematic classification of educational goals. To this end, it is necessary to develop a platform to support the cultivation of digital human resources by applying SW and AI education to all curricula by educational target. Third, after analysing the educational results of SW and AI education by content, it was found that the research was focused on the administrative field. Therefore, it is necessary to expand student-centred SW and AI-related curricula and programmes to foster digital talent, and to expand research that can influence student change.&#x0D; Conclusions In order to foster digital talent, the linkage of information education from elementary schools to universities should be strengthened and education that can respond to the acceptance of industrial sites should be expanded. In addition, courses and programs that adjust the difficulty of educational content for non-majors and take into account students' interests should be developed, and a teaching and learning model to spread it should be developed to foster digital talent.
Effects of Access to Finance and Business Mentorship on Sales Growth of SMEs in Gboko Metropolis, Benue State, Nigeria

The study examined the effects of access to finance and mentorship on sales growth of SMEs in Gboko metropolis, Benue State, Nigeria. The study employed a survey design and used a structured questionnaire (Four Likert Scale) designed by the researcher to gather data. Four research questions and four hypotheses guided the study. A reliability (Cronbach Alpha) estimate of 0.941 was obtained for the questionnaire. With the aid of Taro-Yamane formula, two hundred and forty-eight (248) SME Managers operating in different sectoral activities were sampled from 650 registered SMEs in Gboko metropolis. Data were analysed using mean and standard deviation, while four hypotheses were tested using Analysis of Variance at a 0.05 level of significance. Findings showed that access to finance and business mentorship has a significant effect on sales growth of SMEs in Gboko metropolis of Benue State. The research questions were answered using mean and standard deviation, while hypotheses were tested using Analysis of Variance (ANOVA) at a 0.05 level of significance. The study found that all the p-values were less than 0.05, indicating that all the variables were statistically significant in affecting sales growth of SMEs in Gboko metropolis, Benue State. The study concluded that all the variables have a significant effect on sales growth of SMEs in Gboko metropolis of Benue State. The study suggests, among others, that government should make available soft loans for SMEs and hence facilitate productive dialogue with private sector investors to remove barriers to doing business by deploying approaches that promote market access across the country.
DATA CONSISTENCY MODELS IN APPLICATIONS WITH MICROSERVICE ARCHITECTURE

Individual database transactions can easily meet ACID requirements and ensure strong consistency, but distributed transactions have a number of limitations to address. Hard transactions are are found to be fully ACID compliant, while using flexible transactions isolation is not fully guaranteed. In practice, the isolation requirement is waived to some extent to ensure high throughput and system performance. Flexible transactions generally adhere to the Basic Availability, Flexible State, Eventually Consistency (BASE) theory. The BASE theorem is an extension of the CAP theorem. This is the balance between consistency and availability in CAP. According to the BASE theory, we cannot achieve strong consistency, however, each program can achieve ultimate consistency by using an appropriate method according to its own characteristics. CAP shows that a distributed system cannot achieve consistency, availability, and distribution resilience at the same time. It is worth to pay attention at the stage of system design. It was found that hard transactions are strive for persistent consistency, and so they sacrifice high availability. Flexible transactions sacrifice consistency in exchange for high system availability.
Nuts and Bolts

With all that you have learned so far, there are still a few things that you need to know to get the job done. This chapter introduces the skills needed for you to expand your working knowledge of database-driven web development.
Making the Identity-Based Diffie–Hellman Key Exchange Efficiently Revocable

We propose an efficient identity-based authenticated-key exchange (IB-AKE) protocol that is equipped with scalable key revocation. Our protocol builds upon the most efficient identity-based Diffie–Hellman key exchange (without revocation mechanisms) presented by Fiore and Gennaro at CT-RSA 2010, which can be constructed from pairing-free groups. The key revocation is essential for IB-AKE protocols in long-term practical operation. Our key revocation mechanism allows the key exchange protocol to remain comparable to the original Fiore–Gennaro identity-based key exchange, unlike other revocable schemes that require major (inefficient) modifications to their original IB-AKE protocols. Moreover, our revocation mechanism is scalable, in the sense that its computational cost is logarithmic, rather than linear, to the number of users. We provide a security proof in the identity-based extended Canetti–Krawczyk security model that is further extended in order to incorporate key revocation. The security of our scheme reduces to the well-established strong Diffie–Hellman assumption. For this proof, we devise a multi-forking lemma, an extended version of the general forking lemma.
Definition of conceptual classes of the model of the subject area based on the selection of nouns

The main component of object-oriented analysis or research is the decomposition of the problem into separate classes of concepts (conceptual classes) or objects. A domain model is a visual representation of conceptual classes or real-world objects in terms of the domain. The main problem of building a domain model is the definition of conceptual classes. There are three ways to define conceptual classes: reusing or modifying existing models; using a list of categories of conceptual classes; based on the selection of nouns. This article discusses the third way, namely the definition of conceptual classes based on noun extraction. The selection of nouns is carried out according to textual descriptions of the subject area and their selection as candidates for conceptual classes or attributes. An approach is proposed for defining classes and attributes by representing nouns through objects and establishing relationships between them. In the description of the subject area: Student Serhii Serhienko studies in the PD-31 group. Student Petro Petrenko studies in the PD-31 group. Student Serhii Petrenko studies in the PD-32 group. Let’s select the nouns and combine them into collections with the definition of id: collection of the type FirstName: 1 Serhiy; 2 Peter; collection of type LastName: 1 Serhienko; 2 Petrenko; collection of type NameGroup: 1 PD-31; 2 PD-32; collection of type NameType: 1 Student; 2 Group. The description of the subject area can be presented in two tables. The columns of the first are: Id, TypeName, GroupName. Columns of the second: Id, TypeName, FirstName, LastName, GroupId. The first table can be converted into a conceptual class NameClass with attributes typeName : Type-Name and groupName : GroupName, and the second table into a conceptual class FirstNameLastNameClass with attributes typeName: TypeName, firstName : FirstName, lastName : LastName. The relationship between them is one-to-many. The following algorithm for implementing the method for defining conceptual classes based on noun extraction is proposed: 1. Selection of nouns into objects; 2. Definition of the types of these objects; 3. Combining objects into collections; 4. Definition of classes; 5. Definition of relations between classes with the definition of classes that implement these relations; 6. Combining classes into conceptual classes with the definition of relationships between conceptual classes. Conclusions: 1. An algorithm for the implementation of the method of defining conceptual classes based on the selection of nouns has been developed. 2. Implementation of the proposed algorithm to relevant applications will provide an opportunity to process text descriptions of the subject area and determine the subject area. The purpose of the study: solving the problem of building a domain model, and specifically the definition of conceptual classes based on the selection of nouns. Task: to develop an algorithm for implementing a method for determining conceptual classes based on the selection of nouns.
Terminologia al servizio della traduzione

While the theory of terminology was originally developed to harmonise concepts in technical fields, with the emergence of translation studies, it became soon clear that some of the pre-conditions of terminological standardisation, such as the absence of synonymy andpolysemy, are not fulfilled in professional communication. Another issue is the lack of full equivalence in some cases or the diachronic variation of terms. New approaches to terminology take these phenomena into account, therefore they are better suited to forming the basis of translation-oriented terminology. This article explores terminology issues that a translator usually encounters when translating technical texts and argues that a translator needs terminological competence in order to be able to address these challenges.
Tutorial 34: How to document a specimen

As noted in the last post, Matt and I are off to spend a week at the Carnegie Museum from 11th-15th March. We expect to see many, many fascinating specimens there: far more than we’ll be able to do proper work on in the five days we have.
Dear eLife: please give us &lt;i&gt;eLife ONE&lt;/i&gt;

Since the rather surprising apppointment of Mike Eisen as the new Editor-in-Chief of eLife, I’ve found myself thinking about this journal again.
Sample of Groups: A New Strategy to Find a Representative Point for Each Undisclosed Cluster

Some problems involving the selection of samples from undisclosed groups are relevant in various areas such as health, statistics, economics, and computer science. For instance, when selecting a sample from a population, well-known strategies include simple random and stratified random selection. Another related problem is selecting the initial points corresponding to samples for the K-means clustering algorithm. In this regard, many studies propose different strategies for choosing these samples. However, there is no consensus on the best or most effective approaches, even when considering specific datasets or domains. In this work, we present a new strategy called the Sample of Groups (SOG) Algorithm, which combines concepts from grid, density, and maximum distance clustering algorithms to identify representative points or samples located near the center of the cluster mass. To achieve this, we create boxes with the right size to partition the data and select the representatives of the most relevant boxes. Thus, the main goal of this work is to find quality samples or seeds of data that represent different clusters. To compare our approach with other algorithms, we not only utilize indirect measures related to K-means but also employ two direct measures that facilitate a fairer comparison among these strategies. The results indicate that our proposal outperforms the most commonly used algorithms.
Human pose evaluation based on full-domain convolution and LSTM

Abstract In this paper, we first analyze full domain convolution and LSTM to evaluate human pose by convolutional neural network and LSTM network. Secondly, graph structure skeleton image and skeleton point image classifier based on CNN and LSTM is constructed. The two-dimensional pose assessment method and three-dimensional pose assessment method were used to empirically analyze the human pose assessment. The results show that the average accuracy mAP values of the traditional evaluation methods are 69.7, 72.3, 71.4, and 74.4, respectively, while the average accuracy mAP value of the method used for 2D pose evaluation is 74.6. Where the average error of LReLU is the smallest. This shows that full-domain convolution and LSTM can be effective for human pose evaluation.
Commitment of Consumers of Certain Psycho-Types of Personality to Various Genres of Video Game Market Products

The article presents the results of a study the commitment of consumers of certain psychotypes of personality to various genres of video game market products. When developing a marketing campaign, companies need to thoroughly understand their target audience in order to minimize production and marketing risks.