Reviewerly/exHarmony huggingface dataset:
Womens Participation and the Sustainability of Listed Commercial Banks in Nigeria

This study aimed at promoting gender equality in the corporate environment, hence, this study examined the participation of women in the leadership and workforce of listed commercial banks in Nigeria and how their participation in the business process of these organizations affects the business organization's sustainability.The variables in this study were x-rayed through the theoretical lens of the glass ceiling theory and the critical mass theory.The study implored a quantitative research method, and an expostfacto research design was used.The study population consisted of the 12 listed commercial banks in Nigeria out of which a sample of the 7 listed commercial banks were purposively selected.Secondary data were obtained from the audited annual reports from the sample of 7 listed commercial banks used in this study which covered a time frame from 2010 to 2019.The data were analyzed using multiple regression model to examine the effect of the independent variables on the dependent variables.The result revealed that women participation in the activities of the listed commercial banks has a moderate positive effect on the profitability and asset growth of the listed commercial banks.In addition, the study further revealed that women's participation leads to a significant increase in the profitability and asset growth of the listed commercial banks in Nigeria.In conclusion, it was deduced that the glass ceiling effect was valid in the case of the listed commercial banks in Nigeria.It is recommended that listed commercial banks in Nigeria develop and promote policies that support the participation of women in the business process.
Influence of Social Media Usage and Work Performance on Organizational Performance: The Case of A Broadband Company in Oman

The objective of this study is to investigate the impact of social media usage on organizational performance in a Broadband Company in Oman. It also examines the influence of social media usage on employee work performance. The study utilized a quantitative research method. A sample of 108 employees was taken with purposive sampling, and analysis was carried out through the SPSS. Major findings showed that social media usage significantly influenced work performance. Moreover, applying the three models in determining the significant influence of social media usage and work performance on organizational performance: rapid adaptation, time to market, and cost reduction; findings revealed that social media usage and work performance significantly and positivelyimpacts rapid adaptation, time to market, and cost reduction. Based on these outcomes, it is recommended that the use of social media can be integrated into the annual evaluation of employees as part of its criteria to ensure that social media has been utilized and improve the employee performance in terms of quantity and quality of the job.
Foundation Phase Learners Mathematical Errors Caused by Weaknesses in Reading and Ill Posed Problems

As a consequence of the impact of the novel coronavirus (Covid-19) pandemic and its lockdown regulations on all sectors, including the educational sector, potential knowledge gaps have surfaced.Therefore, the need was identified to bridge such gaps through the curriculum.This was especially evident among rural learners in the Zululand district, who had little or no access to innovative approaches.Guided by the cognitive-fit theory, the objective of the current study was to examine the processing and acquisition of numerical competence among foundation phase learners.Through a case study, 80 Grade 3 learners between the ages of 8 and 9 constituted the sample.Thus, the textual analysis was used to unpack and decontextualise the processing and acquisition of numerical competence by foundation phase learners.The results revealed a multitude of learners' mathematical mistakes that were caused by the learners' limited reading skills and the ill-posed problems and questions.The evidence revealed that pupils who produced an incorrect response may have made a mathematical error related to either a reading error, or may simply have not been able to interpret the figure, which showed a bar graph as an indication of height.Another evidence was that such errors could also be caused by poor sentence structure or sometimes lacking comprehension of the question, which caused the learners not being able to provide mathematically-based reasons for their responses.The evi-Foundation Phase Learners' Mathematical Errors 179 dence revealed that in such cases, pupils generally guessed their responses, as they could not verbalise the mathematical reasoning that would have produced the appropriate responses by the learners.It was concluded that learners' levels of understanding or misunderstandings are a function of two key factors.These include the context of their numerical processing ability and their weak reading skills or ill-posed problems.Thus, it is recommended that reading difficulties can be reduced or even resolved by rephrasing the questions that are far more problematic than previously assumed.
An overview of Blockchain Technology towards E-voting in Malaysia

This paper gives a general overview of blockchain-based electronic voting systems. The aim of this paper is to examine the status of blockchain-based voting research, as well as any potential difficulties, with the aim of predicting future developments in the Malaysia scenario. This paper was conducted based on literature review. A conceptual description of the planned blockchain-based e-voting application is provided after an introduction to the fundamental structure and characteristics of the blockchain in relation to e-voting. In addition, this paper also highlights several issues related to blockchain technologies and e-voting. Keywords: e-voting, Blockchain, Blockchain technology eISSN: 2398-4287© 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia.
Analysis of the Rasch Model Data Needs for the Development of Blended Learning on Character Values and Learning Motivation

This inquire is about the portion of the RD inquire about utilizing the ADDIE demonstrate. In any case, this investigate is as it were constrained to the examination organize, specifically analyzing the require for the improvement of mixed learning models in PAUD instruction to develop character values and understudy inspiration to memorize. The populace is all PAUD instructors in Rejang Lebong. The sample of the test are 75 individuals with likelihood examining procedure. The survey was conducted on October 2021. The instrument utilized was a survey sheet that using a adjusted Likert scale. The survey tried utilizing the Rasch show with the assistance of the Winstep application. The results show that the quality of the questionnaire on the needs of PAUD teachers in Rejang Lebong for the blended learning model is very good. So that it can be used to determine the response to the development of blended learning models. From the results comes about of the examination of the respondents and the things of the survey, it appears that most of the respondents concur with all the supporting things, in this way showing that the reaction to the improvement of the blended learning model is in understanding
VLSP 2021 - VieCap4H Challenge: Automatic Image Caption Generation for Healthcare Domain in Vietnamese

This paper presents VieCap4H, a grand data challenge on automatic image caption generation for the healthcare domain in Vietnamese. VieCap4H is held as part of the eighth annual workshop on VietnameseLanguage and Speech Processing (VLSP 2021). The task is considered as an image captioning task. Given a static image, mostly about healthcare-related scenarios, participants are asked to design machine learning methods to generate natural language captions in Vietnamese to describe the visual content of the image. We introduce VieCap4H, a novel human-annotated image captioning dataset in Vietnamese that contains over 10,000 image-caption pairs collected from real-world scenarios in the healthcare domain. All the models proposed by the challenge participants are evaluated using BLEU scores against groundtruths. The challenge was run on AIHUB.VN platform. Within less than two months, the challenge has attracted over 90 individual participants and recorded more than 900 valid submissions.&#x0D;
ViMRC - VLSP 2021: Improving Retrospective Reader for Vietnamese Machine Reading Comprehension

In recent years, there are multiple systems (eg. search engines and dialogue systems) that require machines to be able to read and understand human text to serve several tasks in application. Machine Reading Comprehension (MRC) has posed a challenge to the Natural Language Processing (NLP) community in teaching machines to understand the meaning of human text in order to answer questions provided. Specifically in this challenge, the dataset contains questions that can be unanswerable, otherwise the answers can be extracted from the given passages. To deal with this challenge, our works mainly based on a recent approach, known as Retrospective Reader, to confronting unanswerable questions. Additionally, we focuses on enhancing the ability of answer extraction by applying properly attention mechanism and improving the representation ability through semantic information. Besides, we also present an ensemble way to acquire significant improvement in results provided by single models. Our method achieves 1$^{st}$ place on Vietnamese MRC shared task at the $8^{th}$ International Workshop on Vietnamese Language and Speech Processing (VLSP) with F1-score of \textbf{0.77241} and exact match (EM) of \textbf{0.66137} on the private test phase. For research purpose, our source code is available at \url{https://github.com/NamCyan/MRC\_VLSP2021}
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Keep All Objectives Satisfied (KAOS) to Event-B Models Transformation

Requirements engineering is an important aspect of the software development methodology because it is the first phase in every software development.The usefulness of formal language in requirements is well-established to ensure consistency.However, the conversion from informal requirements to the formal specification phase is still challenging because it requires advanced skills and much practice.Due to this challenge, we improve the conversion and relationship of these two phases by capturing requirements using KAOS approach and writing the formal specification using Event-B language.KAOS approach allows modeling the requirements through goal hierarchies, whereas Event-B is a formal system-level modeling and analysis method.This work proposes model transformation rules from KAOS model to Event-B model, along with implementing the rules, and evaluates the proposed rules using Mine Pump Controller case study.We used a model-driven approach, specifically model-to-model transformation, to transform KAOS model to Event-B model.We modeled the case study into the KAOS model to obtain the source model for our model transformation and extend the existing KAOS meta-model by adding four new meta-classes to ensure the KAOS model can accommodate all Event-B components.Our proposed rules manage to generate an abstract Event-B model, and a set of proof obligations have been used to verify the correctness of the model.However, the designers must manually perform the transition between the generated outputs to the Event-B platform.
Mobile Application to Improve Student Minimum Competency Assessment

This paper aims to assess whether understanding of the Minimum Competency Assessment (AKM) improves when taught to students through mobile learning. The research method was adapted from a development model whose stages consist of Analysis, Design, Development, Implementation, and Evaluation, but only carried out until the third stage (Development). Material experts and media experts carried out validation. The results show that the mobile application that has been developed was scored 87.88% in the ‘Very Good’ category by the media experts and was scored 89.62% in the ‘Very Good’ category by the material experts. Based on the results of data acquisition, it is shown that the mobile application is feasible to be used as a valid source to introduce students to AKM.&#x0D; Keywords: Media Development, Mobile Application, Minimum Competency Assesment
Integration model of control of lifelong education system in educational clusters and mechanisms of network interaction

Today, in conditions of uncertainty and a high level of competitiveness in the labor market, it is necessary to conduct high-quality training of professional personnel in secondary vocational and higher education in a shorter time. A two-level system of training on one educational platform allows you to maintain the continuity of the content of educational programs. The integration process in the field of education makes it possible to achieve high positive results through the diffusion of differentiated elements and properties into a single professional educational space. The paper considers the main directions of integration processes in the framework of continuing education in the format of educational clusters on the example of a University. This model makes it possible to improve the quality and efficiency of training highly qualified personnel for an intensively developing labor market. The implementation of the integration model of management of the system of continuing education through the mechanism of interaction of educational programs of secondary vocational education and higher education creates a collaborative educational environment, which allows to provide the labor market with qualified personnel in the shortest possible time. A variant of the interaction of the integration model of the functioning of the training of middle-level and higher specialists on the platform of the federal state budgetary educational institution of higher education Samara State Technical University is considered.
Entrepreneurial Activity for Integrating Mathematics, Art, and Social Science into Society

This article shows how entrepreneurial activity is used in a mathematical research product. The used methods are online and offline marketing activities where mathematical formulas are implemented to create visual images, both 2-dimensional and 3-dimensional, namely parametric curves mapped with complex functions and using algebraic surfaces. The results of these activities are motifs built into the form of souvenirs, ornaments, accessories, and batik motifs. Furthermore, entrepreneurial activities were carried out with students, and small business craftsmen collaborated. The main result of this activity is the integration of mathematics with social and humanities activities. This has implications for the development of science and collaboration in economic recovery. Additionally, this activity provides production opportunities and provides new insights for ordinary people that mathematics can be expressed in batik motifs, accessories, souvenirs, and various derivative products.&#x0D; Keywords: entrepreneur; mathematics; parametric; algebraic surfaces
vnNLI - VLSP2021: An Empirical Study on Vietnamese-English Natural Language Inference Based on Pretrained Language Models with Data Augmentation

In this paper, we describe an empirical study of data augmentation techniques with various pre-trained language models on the bilingual dataset which was presented at the VLSP 2021 - Vietnamese and English-Vietnamese Textual Entailment. We apply the machine translation tool to generate new training set from original training data and then investigate and compare the effectiveness of a monolingual and multilingual model on the new data set. Our experimental results show that fine-tuning a pre-trained multilingual language XLM-R model with an augmented training set gives the best performance. Our system was ranked third in the shared-task VLSP 2021 with the F1-score of about 0.88.
ViMRC - VLSP 2021: Context-Aware Answer Extraction in Vietnamese Question Answering

MRC is challenging the natural language processing fields; machines automatically have to answer questions based on specific passages for this task. In recent years, machine reading comprehension (MRC) has received much attention; many articles have been written about this task. However, most of those articles only develop models in two main languages, English and Chinese. In this article, we propose to apply a new model to the task of reading comprehension in Vietnamese. Specifically, we use BLANC (BLock AttentioN for Context prediction) on pre-trained baseline models to solve the Machine reading comprehension (MRC) task on Vietnamese. We have achieved good results when using BLANC on the baseline model. Specifically, with the MRC task at the VLSP share-task 2021, we scored 76.877% of F1-score on the private test and ranked 2nd in the total. This shows that BLANC works very well in MRC tasks and further enhances the Vietnamese MRC development.
THE USE OF INSTAGRAM AS A COMPLEMENTARY ACTIVE METHODOLOGY IN GRADUATE GRADUATION IN ANIMAL SCIENCE

The use of active methodologies in pedagogical practices boosted a didactic change in the context of education, in which the student is no longer a mere spectator, but the protagonist of his own knowledge.These methodologies promote skills and abilities such as autonomy, reflection, innovation, questioning reality, as well as teamwork.With postmodern society inserted in a context of rapid transformations, the integration of Information and Communication Technologies (ICTs) in the educational routine has added value to the teaching-learning process together with active methodologies, since it enhances and facilitates the dissemination of knowledge by the academic community (teachers and students).This way, the advancement of mobile technology, social networks and digital tools expand spaces and contribute to the implementation of active methodologies.The objective of this work was to use the Instagram social network as an educational tool of active methodology of the subject "Stem Cell Biology and its Application in Animal Research and Clinical" of the Graduate Program in Animal Science (PPGCA) of ''Universidade Estadual de Santa Catarina'' .Students were asked to create posts to publish on the social network on topics discussed in the classroom.It was observed that there was public interest through engagement with the likes, comments and posts saved on Instagram.It was concluded that this social network can be applied as a complementary dynamic, collaborative and cognitive pedagogical strategy in postgraduate teaching for the consolidation of scientific knowledge and presentation of content to society.
Implementation of Smart Contract Technology in Financial Services Institutions

The popularity of blockchain-based applications has pushed the advancement of a smart contract as an essential part of the blockchain platform. Previous research has validated that smart contracts can facilitate many functions in financial services companies such as banking and insurance. A smart contract is useful to automate the execution of an agreement by initiating steps when a certain circumstance is fulfilled; thus, it can eliminate the role of any middlemen or waste time. This study explores the basic concepts of blockchain-based applications, smart contracts, advantages, challenges, and potential implementation in the financial services industry. Keywords: Blockchain, smart contract, Ethereum, crypto eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under the responsibility of AMER (Association of Malaysian Environment-Behavior Researchers), ABRA (Association of Behavioral Researchers on Asians), and cE-Bs (Centre for Environment-Behavior Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia.
PENINGKATAN KETERAMPILAN MEMBACA DONGENG MELALUI METODE SCRAMBLE KALIMAT PADA TEMA KEBERSAMAAN KELAS II SD MUHAMMADIYAH BAYAN TA. 2021/2022

“Improving Fairytale Reading Skills Through the Sentence Scramblel Method on the Theme of Togetherness for Class II SD Muhammadiyah Bayan TA. 2021/2022". Elementary School Teacher Education, FKIP, Purworejo Muhammadiyah University, 2022. This study aims to: 1) describe the application of fairy tale reading skills through the sentence scramble method for second grade students at Muhammadiyah Bayan Elementary School, 2) find out the improvement of fairy tale reading skills with the scramble method. sentence on the theme of togetherness of class II students at SD Muhammadiyah Bayan. The type of research used in this research is Classroom Action Research (CAR) which is carried out in two cycles, each cycle having two meetings. The research subjects are second grade students of SD Muhammadiyah Bayan TA. 2021/2022 with a total of 26 students. Data collection techniques in this study used interviews, observations, tests, field notes and documentation. The results showed that there was an increase in fairy tale reading skills through the sentence scrambel method for students who achieved the average in the pre-cycle the percentage of learning outcomes was only 34.61% in the first cycle, 50.00% in the second cycle, reaching 84.61%. The results of the observation of student activities also experienced an increase. In the first cycle, 63.75% increased to 81.15% the increase in fairy tale reading skills based on the average increase in aspects of accuracy, pronunciation, intonation, fluency and clarity of voice. It can be concluded that the sentence scramble method can improve the reading skills of the second grade students of SD Muhammadiyah Bayan.
Method for Conducting Systematic Literature Review (SLR) for Cyber Risk Assessment

This paper presents a method for conducting a systematic literature review (SLR) on cyber risk assessment. A three-staged systematic review was used in this SLR planning, conducting, and reporting the review. Results screening was done by applying inclusion and exclusion criteria. EndNote software and PRISMA flow diagram were used as useful tools during this screening process. This SLR method helps to get systematic and in-depth way to get the accurate and precise numbers of literature. It would be useful for researchers to have a new way of finding literature apart from the traditional literature review. Keywords: Systematic literature review, cyber risk assessment, risk management eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under the responsibility of AMER (Association of Malaysian Environment-Behavior Researchers), ABRA (Association of Behavioral Researchers on Asians), and cE-Bs (Centre for Environment-Behavior Studies), Faculty of Architecture, Planning &amp; Surveying, Universiti Teknologi MARA, Malaysia.