Reviewerly/exHarmony huggingface dataset:
Consumer behavior on the market of educational services: features of choosing a specialism and a higher educational institution

Methods. The results are obtained with the following methods: logical-analytical and generalization in the analysis of the main theoretical approaches to the formation of the model of consumer choice on the market of educational services; abstraction in determining the main components of the consumer behavior model on the market of educational services; methods of marketing research in determining the characteristics of consumer behavior on the market of educational services. Results. The segmentation of consumers of educational services was carried out and the main segments were identified, which demonstrate different types of consumer behavior, to which appropriate marketing efforts should be directed. The influence of internal and external factors on the behavior of consumers of educational services is determined. A model of the behavior of potential consumers of educational services has been developed, which depends on the motives and the presence or absence of a vector of further development. It has been established that the number of applicants is directly proportional to the level of loyalty of existing students. In order to build an effective marketing strategy, it is necessary to identify the motives that encourage applicants to choose certain specialism. Novelty. Behavior models of potential consumers of educational services depend on individually determined motives and the direction of the vector of the life trajectory (understanding of the further development of the personality). Understanding the possibilities of corporate communication and their use increases the level of satisfaction of both students and applicants. Practical value. The target segments of consumers of educational services and their behavioral characteristics at various stages of consumer choice taking into account individual motives have been determined.
ISLAMIC STUDIES TEACHERS’ ACCEPTANCE OF MOBILE LEARNING IN ILORIN SOUTH LOCAL GOVERNMENT AREA OF KWARA STATE, NIGERIA

The increased accessibility to mobile networks coupled with a decrease in the cost of mobile devices has significant implications for transforming the educational instructional environment, particularly in the area of m-learning. Against this background, the study examined Islamic Studies teachers’ acceptance of mobile learning in Ilorin South Local Government Area of Kwara State, Nigeria. Descriptive research method was adopted for this study. The population for this study was all Islamic studies teachers in Ilorin South Local Government Area of Kwara State Nigeria. One hundred and twenty teachers of Islamic Studies were selected as respondents for this study using purposive sampling technique. A researcher- designed questionnaire was used. Research questions were answered using mean and percentage at an alpha level of 0.05. Finding of this study revealed that the level of acceptance of mobile phones in teaching of Islamic studies in Ilorin South Local Government Area of Kwara State, Nigeria was high 115 (95.8%). Teachers of Islamic studies used mostly Internet, Video Camera, Taking Note and others respectively. Teachers of Islamic studies also used of mobile phones application very frequently, frequently, sometimes, and not at all teaching and learning of Islamic studies. Based on these findings, the study concluded that the level of acceptance of mobile phones in teaching of Islamic studies in Ilorin South Local Government Area of Kwara State, Nigeria was high. The study recommended based on the findings that government at all levels should assist in the provision of more modern mobile phones in secondary schools for teaching of Islamic Studies.
Lecture Recording: Mini-Experiment and Student Usage

ABSTRACT During the COVID-19 pandemic and the necessity of online education, many institutions recorded lectures for students who needed more awareness of the effects of this practice. First, this paper thematically reviews the research literature on both benefits and drawbacks of lecture recording, and the factors that influence these effects. Then, based on some of the recommendations provided by the literature, the researcher conducted a mini-experiment with six courses to find whether it would increase student views of recorded lecture videos. Paired t-tests of longitudinal survey data found no significant increase in student view statistics after the researcher’s assistant titled each video and uploaded it faster. However, descriptive statistics found the videos of all six courses to be very useful or helpful to most students. The study raises a further question of whether clipping the videos would increase student views. Keywords: Lecture recording; Experiment; Audio; Videos
Review on the Application of Machine Learning Algorithms on Smart Grid Optimization

With the increasing challenge of distributed and renewable energy sources, maintaining the stability of the power grid is becoming increasingly difficult. By incorporating information and communication technologies, along with machine intelligence, the conventional power grid has the potential to evolve into a smart grid. The integration of machine learning equips the smart grid to make its decisions and efficiently handle generation, power outages, transmission line failures, unforeseen shifts in customer demands, overall fluctuations in renewable energy production, or any unexpected catastrophic events. These diverse machine-learning algorithms play a crucial role in enhancing the functionality of smart grids, contributing to their optimization. This article examines various machine learning algorithms and approaches designed to optimize the responsiveness of each facet of smart grid optimization.
English learning model based on social media

This research endeavours to address the pressing need for a tailored English language learning model for students enrolled in Polytechnic institutions specializing in Food and Beverage studies. Recognizing the pivotal role of English proficiency in global culinary communication, we aim to design a comprehensive learning model. This model harnesses the potential of social media as an innovative pedagogical tool to enhance language skills, equipping students with the linguistic competence essential for success in their field. A mixed-methods approach was employed, combining quantitative and qualitative research methodologies. Initially, a thorough needs analysis was conducted to determine the specific language requirements of Food and Beverage students. Subsequently, an adaptive learning model was designed, incorporating social media platforms as supplementary tools for language acquisition. The model was tested within the curriculum of a Polytechnic institution, utilizing a pre-test/post-test design to assess the impact on students' language proficiency. The results of our study indicate a significant improvement in the English language proficiency of students following the implementation of the learning model. Quantitative analysis of pre-test and post-test scores revealed a statistically significant increase in language skills. Moreover, qualitative feedback from students and educators highlighted the model's efficacy in enhancing engagement and motivation, thereby fostering a more dynamic and effective learning environment. This research contributes to the intersection of language education and the Food and Beverage industry by providing a specialized English language learning model. The innovative integration of social media platforms as supplementary tools demonstrates the adaptability and effectiveness of this approach. The findings affirm the model's potential to bridge the gap between industry-specific language requirements and educational curricula, empowering students with the linguistic competence necessary for global success in the Food and Beverage sector. This study underscores the transformative potential of technology-enhanced language learning in specialized fields and lays the foundation for future research and pedagogical innovation. Ultimately, this research seeks to empower students, educators, and the industry at large, enriching the landscape of culinary education and communication on a global scale.
DEVELOPMENT OF AUTOMATED PH CONTROLLER SYSTEM FOR NFT HYDROPONIC

In a hydroponics system, pH level is one of the most important parameters that affect the way plants respond to a hydroponic nutrient solution. The range of pH levels depends on the type of plants in the hydroponic system. The plant can uptake nutrients efficiently if the nutrient solution needs to be consistently controlled within the pH range. It is important to ensure a balanced pH level in nutrient solutions to maintain the proper growth of plants. Therefore, the pH level in the nutrient solution will automatically be controlled in this Arduino-based system. A mini NFT hydroponic system was used as a project set up to measure the performance of a pH sensor. Utilizing the pH sensor, will measure the pH level of the nutrient solution and send the data to Arduino. Then, the Arduino will receive, process and send the output signal to the peristaltic pump to transfer the pH adjuster solution into the nutrient solution tank until the desired pH level is achieved. The data of the pH, Electrical Conductivity (EC) and temperature of the nutrient solution for the Amaranth plant growing period of 23 days are collected. The result obtained shows that the system is capable of automatically maintaining the pH level in the nutrient solution.Keywords: Amaranth round leaf, Arduino, temperature, EC value
Description of Procedural Fluency and Productive Mathematical Disposition of Middle School Students

The objectives of this study to describe the level of procedural mathematical fluency of students in solving problems on number pattern material and to describe the level of students' mathematical productive disposition in class VIII SMP Negeri 1 Baitussalam. This study used descriptive qualitative research with three students as subjects grouped into three categories namely high, medium and low. The results showed that mathematical procedural fluency (1) students in the high level category fulfilled all indicators. (2) students in the moderate level category fulfill two of the three indicators. (3) students in the low level category only meet one indicator. And the results for mathematical productive dispositions: (1) students with a high level fulfill all indicators (2) students in the medium level category fulfill five of the seven indicators (3) students in the low level category only fulfill two of the seven indicators.
HAND GESTURE RECOGNITION SYSTEM FOR CONTROLLING MEDIA PLAYER

Gesture-based real-time gesture recognition systems received great attention in recent years because of their ability to interact with systems efficiently through human-computer interaction. In today’s world, everyone goes for fast interaction with complex systems that ensure a quick response. Therefore, with increase sing technological advances, response time and ease of operation are a major concern. This is where human computer interaction begins. This interaction is not limited, and challenges used devices such as keyboard and mouse input. Touch recognition has received a lot of attention. Touch is natural and is often used in everyday interactions. Thus, communication using touch and computers creates a new level of interaction. In this paper we have discussed a low cost system which uses hand gesture recognition technique to control media player. increases efficiency and makes interaction effortless by letting the user control his/her laptop/desktop from a distance.
THE METAVERSE IN SOUTHEAST ASIA: TEETHING PROBLEMS

The article illustrates salient features of the Metaverse-related developments in Southeast Asia seen through the prism of major regional consumption trends, as well as the evolution of the Metaverse around the world. Starting from an outline of determining factors behind the consumption growth in Southeast Asia, the paper proceeds to specifying reasons behind the popularity of the Metaverse across the world in general and the Asia-Pacific region in particular. Then the study turns to the evolution of the Metaverse in Southeast Asia with a special focus on the gaming industry. The author argues that although obstacles to the Metaverse development are in place and will probably remain serious, its regional prospects are generally positive. The paper extends the focus on previous research on the Metaverse and consumption trends in Southeast Asia that have been carried out in a fragmented manner. As the topics discussed in their synergy have not been in a research focus in Russia and other countries, the study takes a considerable step forward in developing an integral approach to the digital transformation of social, economic and commercial processes in Southeast Asia, which accounts for its relevance, novelty and originality.
Impact of Employees’ Turnover on the Performance of Five Star Hotels of Kathmandu

This study examined the Impact of Employee Turnover on the Performance of Five five-star hotels. Data was collected from the 120 hotel employees from six hotels in Kathmandu using the questionnaire. The employees were randomly sampled. Jamovi was used to run the analysis. While collecting the data among the respondents, 91 (75.8%) were Male, and 29 (24.2%) were female. Likewise, 64 (53.3%) were staff, 36 (30.0%) were supervisors, and 20 (16.7%) were heads of departments. Out of 120 respondents, 51 respondents (42.5%) had worked in the respective hotel for &lt;5 years, followed by those who had worked for 6–10 years were 22 respondents (18.3%), while 12 respondents (10.0%) had worked for 11–15 years and 35 respondents (29.2%) had worked for more than 16 years. Employee turnover has highly affected the Organizational performance of the hotel. So, for that reason, the hotel has used various strategies related to employee retention. Likely examining employee turnover and its impact on organizational performance, the researcher uses correlation and regression, which shows the negative impact on organizational performance.
A Comprehensive Study and Development of Unified Mobile-Based Admission System for GCC Universities

The Gulf Cooperation Council (GCC) region has experienced tremendous growth in the higher education sector with many public but internationally recognized universities, colleges, and programs. Annually, within and outside of the GCC zone, high school students and guardians undergo repeatable and time-consuming experiences for inhomogeneous university, college, and program admission and tracking processes. This research project aims to provide a unified management tool to manage the admission and tracking process to multiple accredited GCC universities, colleges, and programs through one unified central mobile-based application. The research project aimed to achieve two objectives: exploring the GCC university admission process phenomena and developing and evaluating a unified mobile-based university admission application (denoted by HEIM) for higher education institutes' mobile applications. An Agile-SDLC methodology was employed, entailing two phases; the Exploratory phase to the phenomena of the university admission process and the development and evaluation phase of the potential mobile application. The 1st phase was based on an interview with the Ministry of Education (MOE), employing SLR and CA techniques for articles and mobile applications collection and analysis, and 1st questionnaire to collect user requirements. The 2nd phase employed several design techniques, including DFD, ERD, etc., a 2nd questionnaire to collect system requirements and coding by .NET MAUI, C#, and XAML, and a 3rd questionnaire to evaluate the usability of HEIM based on Nielsen heuristics at which the empirical findings revealed 97.7% of usability.
Research on Intelligent Recognition Technology in Lithology Based on Multi-parameter Fusion of Logging While Drilling

In oil and gas drilling, timely and accurate identification of formation lithology is an important guarantee of drilling safety. Aiming at the problems of inaccurate identification of lithology in drilling by traditional methods, and low efficiency due to the fact that even modern instruments cannot respond to lithology in real time. the Categorical Boost (CatBoost) model was applied to lithology identification in this study. However, since CatBoost uses more hyperparameters in its modeling, it is difficult to optimize model prediction by manually tuning the parameters. Therefore, the introduction of Kernel Principal Component Analysis (KPCA) extracts fewer and more important features from the original data, eliminates the redundant information contained therein, and combines with Bayesian Optimization (BO) algorithm to optimize the hyperparameters during the training process, thus improving the prediction performance of CatBoost. Two experiments were designed to verify the recognition ability of the model, and the final test results of the model showed that the KPCA-BO-CatBoost model proposed in this paper had the best overall performance, and the lithology recognition accuracy reached more than 90%. The model was effective in identifying the formation lithology, realized real-time lithology identification by combining the parameters of logging while drilling, improved the efficiency and accuracy of lithology identification, and was of great significance in guiding the subsequent drilling work.
How does Text-to-image AI Affect Indie Game Designers and Artists?

This study delves into the impact of text-to-image artificial intelligence on independent game designers and artists. It underscores the paradigm shift in game design, exploring how AI tools facilitate the rapid production of unique game content and artwork, a particular advantage for indie creators. Employing qualitative methods such as interviews and case studies, the research gathers insights into the creative and practical applications of AI in game design. The findings emphasize the evolving role of game designers in an AI-integrated future, balancing artistic creativity with technical proficiency, while also acknowledging the ethical complexities introduced by AI. This research aims to provide an in-depth understanding of how indie game designers can leverage AI to foster innovation while navigating its challenges.
FAKTOR TEKNOLOGI TERHADAP ADOPSI BIG DATA PADA ERA TRANSFORMASI DIGITAL

This study aims to analyze the influence of technological factors on the adoption of big data analytics in the digital transformation era. The population in this study are companies in Indonesia, especially those in Jabodetabek that have adopted big data in their operational systems. The sample in this study was 205 respondents using a purposive sample method. The type of data in this study is primary data in the form of a questionnaire survey. Data were analyzed using multiple regression techniques using SPSS ver 25. The study results show that relative advantage, compatibility, and complexity positively affect companies' interest in adopting big data. But security negatively affects companies' interest in adopting big data.
ACHIEVING DATA TRUTHFULNESS AND PRIVACY PRESERVATION IN DATA MARKETS

As a significant business paradigm, many online information platforms have emerged to satisfy society’s needs for person-specific data, where a service provider collects raw data from data contributors, and then offers value-added data services to data consumers. However, in the data trading layer, the data consumers face a pressing problem, i.e., how to verify whether the service provider has truthfully collected and processed data? Furthermore, the data contributors are usually unwilling to reveal their sensitive personal data and real identities to the data consumers. In this paper, we propose TPDM, which efficiently integrates Truthfulness and Privacy preservation in Data Markets. TPDM is structured internally in an Encrypt-then-Sign fashion, using partially homomorphic encryption and identity-based signature. It simultaneously facilitates batch verification, data processing, and outcome verification, while maintaining identity preservation and data confidentiality. We also instantiate TPDM with a profile matching service and a data distribution service, and extensively evaluate their performances on Yahoo! Music ratings dataset and 2009 RECS dataset, respectively. Our analysis and evaluation results reveal that TPDM achieves several desirable properties, while incurring low computation and communication overheads when supporting large-scale data markets.
Kemampuan Literasi Informasi Pemustaka Di Perpustakaan Universitas Negeri Padang Menggunakan Information Literacy Standars For Higher Education

This study aims to determine the information literacy skills of users at the Padang State University library using literacy standards for higher education. This research is a qualitative research. There were 5 informants in this study, namely students of the 2018 library and information science study program. Data collection techniques were carried out by interview and documentation methods. The results of this study indicate that students are information literate (1) able to identify the information they need, (2) able to access the information they need effectively and efficiently, (3) able to evaluate information and sources of information critically and able to combine certain information into knowledge and value systems that they already have, (4) Able to utilize or use information effectively to achieve certain goals, (5) Able to understand economic, legal and social aspects in the use of information and be able to access and use information ethically and legally.
Sociophonetics of [r] in Akan

The study interrogates what has hitherto been called ‘free variation’ in Akan (cf. Schachter and Fromkin (1968), Dolphyne (1988), and Abakah (2004)), i.e., the alternation of [r], [l] and [d] in intervocalic position (V_V) and the alternation of [r] and [l] at the second consonant (C2) position of a CCV syllable structure in various dialects of the language. The study follows the quantitative sociolinguistic approach pioneered by Labov (1966) to investigate the extent to which the choice of one rather than the other of these sounds is not free but is dependent on the social backgrounds of speakers (described in terms of their age, gender, educational background and what dialect of Akan they speak). Interview and picture elicitation were the primary instruments of collecting data from 120 respondents (60 speakers of Asante and Fante respectively). The study did not uncover any major dialectal difference in the alternation between [r] and [l] but finds that [d] is decidedly an Asante variant that competes with the other two sounds in the speech of adults. The data however shows that the social variables age, level of education, and gender do influence the choice of [r] versus [l] in both Asante and Fante. Young, educated speakers, especially female speakers, demonstrated a higher tendency of using the [r] variant, which seems to have emerged as the most prestigious of the three variants.