Reviewerly/exHarmony huggingface dataset:
Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE

This study assessed various factors related to service quality ininfluencing artificial intelligence security technology. It was carried out through quantitative approach where the data of respondents perceptionsof UAE citizens towards the enhancing service quality in the UAE's AI security sectorwas derived through queationnaire survey. The factors were categorized in four groups which are performance expectancy group with seven factors; effort expectancy group with seven factors; social influencegroup with four factors; and facilitates condition group with five factors. With these factors, the respondents were requested to gauge the degree of influence of each factor using 5-points likert scale. The questionnairesurvey managed to secure 359 completed questionnaire forms. The data from these forms were analysed using descriptive statistic. It was found that facilitates conditiongroup of factor is the most influencing category on service quality to adopt AI technology. It can be concluded that theoverall results indicate that facilitates condition, effort expectancy and performance expectancy groups are reported having very high influencing categories while social influence group having high influencing ategory. It was also found that AI technologies are very frequently used technologies by the UAE citizens. Based on the study, it is deduced that service quality is a basic consideration as reported by the UAE personnel for adoption of any technology.
Bayesian Causal Forests &amp; the 2022 ACIC Data Challenge: Scalability and Sensitivity

We demonstrate how Hahn et al.'s Bayesian Causal Forests model (BCF) can be used to estimate conditional average treatment effects for the longitudinal dataset in the 2022 American Causal Inference Conference Data Challenge. Unfortunately, existing implementations of BCF do not scale to the size of the challenge data. Therefore, we developed flexBCF—a more scalable and flexible implementation of BCF— and used it in our challenge submission. We investigate the sensitivity of our results to the choice of propensity score estimation method and the use of sparsity-inducing regression tree priors. While we found that our overall point predictions were not especially sensitive to these modeling choices, we did observe that running BCF with flexibly estimated propensity scores often yielded better-calibrated uncertainty intervals.
Twitter Sentiment Analysis of Lagos State 2023 Gubernatorial Election Using BERT

Many cutting-edge language models have been used in the past to forecast election results. Sentiment analysis aids in opinion mining – a common experiment used to detect public opinions – on a given topic. Twitter has gained popularity and established itself as a crucial instrument for analyzing public opinion on elections and other trending issues. The unexpected but interesting results of recently held Nigeria's presidential election shifted attention to the upcoming governorship race in Lagos State. In this work, we propose a Google’s Bidirectional Encoder Representations from Transformers (BERT) model for the sentiment analysis of governorship election in Lagos State, Nigeria, using Twitter data. A total of 800,000 personal and public tweets were scraped from twitter concerning the three prominent contesting Lagos State Gubernatorial candidates using carefully selected search queries. The tweets were preprocessed to avoid noise and inconsistencies and the preprocessed tweets were parsed into the pre-trained and finetuned BERT model. The result was analyzed to establish the sentiments of the public about the candidates. The social networks of the candidates were also presented and the effect of parameter using different learning rates (LR) was also considered. The BERT model achieved the maximum performance under varied learning rate and epoch sizes of 88% precision, 92% recall and 91% F1-Measure. Results also showed that the learning rate at 1e-7 gave the best performance. Also, the smaller the learning rate, the higher the accuracy but the larger the epoch size, the higher the accuracy. Applying the developed BERT model to the public’s tweet showed that the election will be a two-party race between the Labour Party and All Progressives Congress party, thereby challenging the status quo. The results of the experiment demonstrated that sentiment analysis and other Natural Language Processing activities can help with comprehension of the social media environment. Results also showed how much influence each candidate has over the outcome of the election. We come to the conclusion that estimating election results and providing insights for electoral parties can benefit from sentiment analysis and other language models.
Optimization of Literacy Development for Children in Tanjung Kasau Plantation Village

Reading is the most basic ability as a provision to learn everything. In literacy, reading is a very interesting and important form of learning for teachers and students so that learning is easy to understand or understand when doing reading activities. Literacy is a person's ability to process and understand information when carrying out the process of reading and writing. School is an institution that is responsible for creating a reading culture which is an important part of learning activities. Schools must be able to facilitate various means that can increase students' interest in reading, namely by utilizing the school library. Through reading students can broaden horizons, sharpen ideas, and increase knowledge. The method used in this activity is to teach students to read in groups by utilizing the books in the library of SDN 10 Tanjung Kasau plantation village. The results obtained from this program are being able to develop children's interest in reading and elementary school children's knowledge in reading, especially grades 1-4 who cannot read, so that the purpose of holding this interest in reading (literacy) program can be implemented.
Inscribed versus Invoked Attitudes: Appraisal Among Indonesian Teenagers in English Captions on Instagram

On Instagram, Teenagers’ captions in English do not always describe the picture but symbolically express their feelings to their friends as a whole. In this case, English captions enhance status and authority and reveal the attitudinal evaluation related to feelings and values. This paper aims to discuss the self-presentation between Indonesian female and male teenagers on their emotional, critical and evaluative stance reflecting on English captions on Instagram when the captions talk about friends and their relationship. Appraisal theory proposed by Martin and White to reveal the attitudinal evaluation is applied in this study. From 500 English captions, 90 captions deal with 155 appraising items about friends. They are 112 female appraised items and 43 male appraised items. Caption's screenshots are used to collect the data. The invoked attitude data are coded by examining posted photos. The result of the research is (1) male and female teenagers prefer to express their attitude by using inscribed attitude rather than invoked attitude, (2) male teenagers expresses moreattitude through Affect, while female teenagers express more through Judgment, (3) negative appraisal is to used to emphasize the positive values in the form of a counter concession, for male teenagers to highlight togetherness, while for female teenagers are more focused on empathy, (4) both female teenagers and male teenagers use negation to show a positive attitude related to judgment propriety (ethical Judgment). Therefore, writing captions on Instagram provide an opportunity for male and female teenagers to express their attitudes as they imagine to show their strength without physically confronting the interlocutor.
Socially Responsible Investment (SRI) in Relation to Personality Traits

Purpose: The aim of this study is to examine the impact of intellectual capital (human capital, structural capital, and employed capital) on the financial performance of listed insurance companies in the Amman Stock Exchange Theoretical framework: Intellectual capital has become increasingly important in generating value for companies, and many researchers have linked it to corporate financial performance and strategic competitive advantage. Design/methodology/approach: The study population consist of 21 insurance companies listed on the Amman Stock Exchange in Jordan during the period of 2011-2020. Intellectual capital was measured using the value added intellectual coefficient model (Pulic, 2000), and its impact on financial performance was analyzed using published financial statements of the insurance companies. Findings: The results of the study found a statistically significant positive effect of human and employed capital on financial performance as measured by the rate of return on assets and return on equity. Furthermore, the study revealed a significant positive effect of intellectual capital, specifically human capital, on financial performance measured by market value (Tobin's Q). Research, Practical &amp; Social implications: The study suggests that insurance companies should treat intellectual capital as a strategic resource and monitor and invest in it periodically for continuous development. The study suggests building a positive organizational culture that supports intellectual capital is recommended Originality/value: This study contributes to the understanding of the relationship between intellectual capital and financial performance for the first time in the insurance industry in Amman Stock Exchange. The findings highlight the importance of managing and investing in intellectual capital as a strategic resource to enhance financial performance.
THE MEDIATING ROLE OF INFORMATION COMMUNICATION TECHNOLOGY LITERACY ON THE ATTITUDE TOWARDS LEARNING WITH SOCIAL MEDIA AND ONLINE NEWSPAPER READING BEHAVIOR OF STUDENTS

The study aimed to determine if information communication technology literacy significantly mediates the relationship between the attitude towards learning with social media and the online newspaper reading behavior of the students. A quantitative correlation design and mediation technique was used to investigate the relationship between and among the three variables. This study used questionnaires that had been modified and pilot tested by experts. A stratified sampling technique was used to select and interview 300 college students. The questionnaire was personally handed to the respondents by the researcher via face-to-face and Google e-survey. The statistical tools used were a mean, product- moment correlation, and path analysis. The studys findings showed high levels of attitude towards learning with social media, online newspaper reading behavior, and information communication technology literacy. Moreover, the studys findings indicated a significant connection between and among the three variables. Results showed that information communication technology literacy partially mediated attitude towards learning with social media and online newspaper reading behavior. Keywords: ict literacy, social media, online newspaper, technology, path analysis, library science, Philippines
Iot-Based Secure Healthcare Framework Using Blockchain Technology with A Novel Simplified Swarm-Optimized Bayesian Normalized Neural Networks

The Internet of Things (IoT) is growing in popularity nowadays and has many potential uses, particularly in healthcare. A large amount of sensing data is generated from a variety of sensing devices as a result of the growing needs of the IoT. The use of artificial intelligence (AI) methods is crucial for real-time, scalable, and accurate data processing. However, there are certain obstacles in the way of the layout and implementation of a successful analysis of the big data approach. These include a lack of suitable training data, resource limits, and a centralized architecture for the data. However, emerging blockchain technology provides a distributed system. It is advocated for getting rid of centralized control and solving AI issues, and it allows for safe data and resource exchange across the many nodes of the IoT network. Thus, this research develops a novel simplified swarm-optimized Bayesian normalized neural network (SSO-BNNN) for the secret transmission of medical images to address the aforementioned challenge. The neighborhood indexing sequence (NIS) approach is also used to encrypt the hash value. Several experiments were conducted to verify the outcomes of the suggested approach, and several facets of those results are discussed. Experimental results show that the proposed excellent findings with the best accuracy, sensitivity, and specificity were produced by the model.
Writing a Curriculum Vitae on a Digital Platform, Canva

Most of Vocational High School students are designed to work after they graduate. They are shaped to be the professional workers in a company so that they have to master various skills. One of the basic competencies they need to master is writing. Writing skill can help them prepare the application letter when they apply for the job. Thus, this study aims to analyze the students’ creativity in writing a Curriculum Vitae using a digital platform namely Canva. The object of this research was the students of Binakarya Mandiri Vocational High School Bekasi, grade XII majoring Technical Engineering. There were 30 students in the class. However, the researchers took 3 students’ digital creative results as the samples of this research. Through a qualitative approach, the researchers applied the Teaching Principle theory by H. Douglas Brown and Heekyong Lee and the concept of Media Education from Alexander Fedorov. The result shows that the students in grade XII majoring Technical Engineering are more well-prepared and creative in writing the Curriculum Vitae using Canva.
SCIENTIFIC AND PEDAGOGICAL FOUNDATIONS OF MANAGING PRESCHOOL EDUCATION INSTITUTIONS

The article clarifies the concept of “management” in the field of preschool education. It is noted that preschool education management includes administration of various types of preschool education institutions of different forms of ownership, internal management in the PEI. Also, preschool education management is considered as a purposeful activity of all its hierarchical links, which ensures formation, preservation, stabilization of the functioning and development of preschool education in its various forms. The principles, levels and functions of educational process management in preschool education institutions are defined. The principle of management is defined as the main fundamental ideas, representations about management activity, rules that arise directly from the laws and regularities of management, that is, the principles of management reflect the objective reality that exists outside and independently of human consciousness.In the practice of managing the innovative pedagogical process, the heads of preschool education institutions note difficulties in mastering mechanisms and methodological techniques, there is insufficient competence in management, mechanical performance of certain actions, lack of creativity in solving certain situations, taking managerial actions. The effectiveness of managing the interaction of the subjects of the educational process provides support for general pedagogical and general scientific principles. Three groups of methods (administrative, socio-psychological and economic) used by heads of education institutions in the organization of pedagogical activities are discussed.In the course of the study, the levels of management culture among students and heads of preschool education institutions were determined (high, medium, low). In the organization of the educational process, active methods and forms of learning are preferred during the teaching of educational disciplines related to managerial activities. The expediency of using managerial situations in the preparation of preschool education organizers for professional activities has been proved.&#x0D; Keywords: management; preschool education; pedagogical activity; management actions; organization of the educational process; competence; management functions; management levels; innovative pedagogical processes.
Exploring Student’s Learning Enjoyment and Vocabulary Mastery in Digital Game-Based Learning Experience: A Narrative Inquiry

Digital Game-Based Learning has gained numerous attentions among researchers and educators for its fun-learning concept that promotes learners’ enjoyment. The present study explicates two things: the learning enjoyment reported by EFL learners based on Fu et al., (2009) ’s EGameFlow and the impacts on EFL learners’ vocabulary mastery based on Nation’s (2001) concept, while playing games. This study involved an Indonesian EFL learner who is also an active digital game player. Narrative Inquiry methods were applied to present the findings. Thus, observations, learner’s reflection diary, interviews, and artifacts are involved in the data analysis. The results showed that 6 out of 8 dimensions of EGameFlow emerged, and vocabulary mastery was achieved through Nation’s (2001) concept—along with 78 new words and phrases learned. Furthermore, by looking deep into the participant’s stories, the findings also generate meaningful implications for vocabulary learning and learning enjoyment in digital game-based learning.
An Intelligent Decision Making System for Prospective Recipients of Cash Transfer (Bantuan Langsung Tunai) Using Simple Additive Weighting (SAW) Method

Bantuan Langsung Tunai (BLT) or cash transfer is the government's commitment to help underprivileged communities and to improve the economy along with improving the quality of life of underprivileged families. With BLT, it can help people to meet their daily needs. The responsibility of the government, especially in rural areas, is a problem which must be faced by the village administration, especially the village head. The village head has a responsibility towards the people in the village, and the village head is a government official at the village level who is tasked with distributing BLT. BLT funds are sourced from the Village Fund which has been distributed by the central government to help village communities affected by an unstable economy. This research was conducted with the aim of determining prospective recipients of BLT using the Simple Additive Weighting (SAW) method. The Simple Additive Weighting method is used because this method connects attribute values, where the value must be raised to the power of the attribute's weight value. In determining the recipient of BLT, there are many criteria which must be owned by the Community as a condition for obtaining BLT. The criteria used are the size of the house, floors, walls, toilet facilities, house electricity, water sources, cooking fuel, consumption of meat, clothing, and the number of meals per day. The recipients of BLT amounted to 29 households from 50 families. From the results of the 50 Alternative Tests, the results of V1 with a value above 0.5 as the alternative were selected as recipients of direct cash assistance.
Can Race-sensitive Biomedical Embeddings Improve Healthcare Predictive Models?

This reproducibility study presents an algorithm to weigh in race distribution data of clinical research study samples when training biomedical embeddings. We extracted 12,864 PubMed abstracts published between January 1st, 2000 and January 1st, 2022 and weighed them based on the race distribution data extracted from their corresponding clinical trials registered on ClinicalTrials.gov. We trained Word2vec and BERT embeddings and evaluated their performance on predicting length of hospital stay (LHS) and intensive care unit (ICU) readmission using MIMIC-IV electronic health record data. We observed that models trained using race-sensitive embeddings do not consistently outperform the neutral embeddings ones when used for LHS prediction (with similar Mean Absolute Error 1.975 vs. 2.008) or ICU readmission prediction (with similar accuracy 74.61% vs. 75.17% and the same AUC 0.775), respectively. We conclude that demographic sensitive embeddings do not necessarily significantly improve the accuracy of health predictive models as previously reported in the literature.
Priority-based Task Scheduling in Dynamic Environments for Cognitive MFR via Transfer DRL

A radar resource management module in a cognitive multifunction radar manages the resources by first prioritizing and then scheduling the tasks. Apart from scheduling the tasks, the task scheduler of a cognitive radar requires the scheduling to be adaptable to the changing environment. We formulate a gen-eral model for the distributions of task parameters, specifically, task priorities and delay tolerance, to ensure priority-based task scheduling. We develop the use of transfer learning (TL) within a deep reinforcement learning (DRL) framework to address the challenge of adaptability to a varying environment. Our approach builds on using a Monte Carlo Tree Search (MCTS) aided by a deep neural network (DNN). We show that TL allows accelerated training by transferring the policy learned by training the D NN-based MCTS on initial parameter distribution (environment) to the policy required for a new environment. Our results show that the high priority tasks are least delayed and dropped with the new formulation, whereas TL ensures the respective adaptation to the dynamic environment.
Innovative Leadership Practices and Management Styles of School Heads in the Schools Division of Bulacan

The study aimed to describe and examine school heads’ innovative leadership practices and management styles among school heads assigned in Bustos District in the Schools Division of Bulacan. The study was participated by thirteen (13) school heads who were purposively drawn by the researchers. Results revealed that school heads always practiced innovative leadership practices in terms of strategic thinking, innovative thinking, action patterns and interpersonal skills. Hence, school heads always practiced sound management styles which enabled them to create sound and efficient managerial and supervisory functions. Further, strategic thinking is negatively correlated with instructional leadership as implemented by the school heads.
AN ANALYSIS OF DEVOPS’ IMPACT ON INFORMATION TECHNOLOGY ORGANISATIONS: A CASE STUDY

DevOps is a software development philosophy that involves the working together of development, operations, and other software development departments in order to accomplish common business objectives. However, very little has been done to establish the organisational impact of DevOps on information technology organisations; so an understanding of this phenomenon remains incomplete among practitioners and academic researchers. In this paper a framework for an appropriate DevOps restructuring approach is presented, based on the literature and on a single case study of a large multinational company with its headquarters in South Africa. The paper contributes to a better understanding of the organisational implications of the implementation of DevOps.
Pembelajaran Materi Garis Bilangan dengan Berbantuan Alat Peraga Number Line pada Siswa Sekolah Menengah Pertama

Number line material is an essential material in learning mathematics. However, in fact some students experience difficulties in the learning process of number line material. As was found among students at the Graha Asuh Jabal 165 Foundation, only seven of twenty five children said they liked mathematics at the Al-Hilal 3 Sarijadi Foundation. Based on the problems found, this service activity aims to help students understand number line material. The method for implementing this activity consists of three stages, namely: (1) the activity planning stage; (2) implementation stage; and (3) evaluation stage. The results obtained in this service activity are in the form of post-test results which show that there is an increase in student responses from the results of the pre-test conducted at the beginning of learning.