Reviewerly/exHarmony huggingface dataset:
Digital Gender Gap at the High School Level: The Case of Computer Technicians in Mexico

The gender gap has generated inequalities in women due to barriers that limit their progress and participation in various areas of their lives. Barriers and inequalities that bound women within the digital world have been identified, generating a fracture called the digital gender gap or gender digital divide. This phenomenon can be maximized or decreased
Gender Digital Divide: The Complexity of Digital Media Literacy Among High School Students With Professional Technical Training in Mexico

Nowadays, society faces a new era of digitization and virtualization due to the Fourth Industrial Revolution. This era has influenced all the complex aspects of human life. Therefore, it is vital to promote the digital media literacy of students in all educational levels, but it is needed in high school as a step before higher
IMPLEMENTING THE SYSTEMATIC ACTIVITY APPROACH IN DISTANCE LEARNING: FOREIGN LANGUAGE LESSONS

This paper addresses aspects of planning and structuring foreign language lessons within the framework of the systematic activity approach in vocational education. The authors give an overview of the main didactic principles of the systematic activity approach and show the necessity of their correlation with the content of professional education. The examples of various assignments at different stages of a foreign language lesson illustrate how the principles of the studied approach could be implemented.
READINESS FRAMEWORK OF FUTURE DESIGNERS TO DEVELOP AND SUPPORT PROJECTS IN THE PRODUCTION SECTOR

The definition of the readiness structure allows us to identify criteria and indicators of the readiness of future designers to develop and support design projects in the production sector. The article analyzes the proceedings of scientists on the definition of the concepts of “readiness for professional working”, “readiness for project working” and the description of components of the structure of readiness for professional and project working. Using a comparative analysis of approaches to determining the component structure of readiness and the specifics of professional work in the field of design, the author identifies the framework components of the readiness of future designers for project work.
Implementation of the Self Organizing Maps (SOM) Method for Grouping Provinces in Indonesia Based on the Earthquake Disaster Impact

Indonesia is a country prone to earthquakes. This is because the territory of Indonesia is located between the confluence of three tectonic plates (the Eurasian plate, the Indo-Australian plate, and the Pacific Ocean plate) and is also in the Ring of Fire. The number of earthquakes in Indonesia varies in each province due to the different characteristics of the location of the plates of each province in Indonesia. Earthquake disasters have a very detrimental impact on society, such as causing casualties, damaged houses or damage to public facilities. Therefore it is important to grouping the impact of earthquakes in Indonesia as a disaster mitigation effort in order to find out the characteristics of each province in each cluster. The grouping method used is Kohonen Self Organizing Maps (SOM). SOM is a high-dimensional data visualization technique in the form of a low-dimensional map. The results 3 clusters with the characteristics of each cluster. Cluster 1 consisting of 24 provinces has the characteristics of the highest number of earthquake incidents, the number of missing victims, the number of victims suffering and the number of damaged houses. Cluster 2 consisting of 7 provinces does not show any prominent characteristics of the cluster. Cluster 3 consists of 3 provinces with very prominent characteristics, namely the number of victims killed, the number of injured victims, the number of displaced victims, the number of damaged educational facilities, the number of damaged health facilities and the number of damaged worship facilities the most of the other clusters.
Comparison of Error Rate Prediction Methods in Binary Logistic Regression Modeling for Imbalanced Data

Binary logistic regression is a regression analysis used in classification modeling. The performance of binary logistic regression can be seen from the accuracy of the model formed. Accuracy can be measured by predicting the error rate. One method of predicting the error rate that is often used is cross validation. There are three algorithms in cross validation, namely leave one out, hold out, and k-fold. Leave one out is a method that divides data based on the number of observations so that each observation has the opportunity to become testing data but requires a long time in the analysis process when the number of observations is large. Hold out is the simplest algorithm that only divides the data into two parts randomly so there is a possibility that important data does not become training data. K-fold is an algorithm that divides data into several groups, but k-fold is not suitable for data that has a small number of observations. In reality, real data found is often imbalanced. In logistic regression when the data is increasingly imbalanced the prediction results will approach the number of minority classes. This research focuses on the comparison of error rate prediction methods in binary logistic regression modeling with imbalanced data. This study uses three types of data, namely univariate, bivariate and multivariate, which are generated by differences in population mean and correlation between independent variables. The results obtained are k-fold algorithm is the most suitable error rate prediction algorithm applied to binary logistic regression.
Application of the Fuzzy Time Series-markov Chain Method to the Rupiah Exchange Rate Against the US Dollar (USD)

The exchange rate holds great significance in analyzing the Indonesian economy, given its substantial influence on the overall economic landscape. By virtue of its dynamic characteristics, it is possible to engage in forecasting activities to anticipate forthcoming exchange rates. The aim of this research is to develop a prediction model using the Fuzzy Time Series (FTS) Markov chain method to forecast the Indonesian Rupiah's exchange rate against the US Dollar. Additionally, the study intends to determine the projected exchange rate of the Rupiah against the US Dollar for the upcoming season. Using the Fuzzy Time Series (FTS) Markov Chain method, the values of and , which are precise positive numbers, are determined by the researcher. Forecasting this level of sales result with =44.38 and = 11 generate error values (MAPE) of 0.2627525%. Forecasting for the next 21 days compared to data on sales of the rupiah against the USD dollar from January 2 2023 to January 31 2023 produces a MAPE value of 2.414564% with an accuracy rate of 97.58544%.
Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

PurposeRisk-stratified breast cancer screening might improve early detection and efficiency without comprising quality. However, modern mammography-based risk models do not ensure adaptation across vendor-domains and rely on cancer precursors, associated with short-term risk, which might limit long-term risk assessment. We report a cross-vendor mammographic texture model for long-term risk.ApproachThe texture model was robustly trained using two systematically designed case-control datasets. Textural features, indicative of future breast cancer, were learned by excluding samples with diagnosed/potential malignancies from training. An augmentation-based domain adaption technique, based on flavorization of mammographic views, ensured generalization across vendor-domains. The model was validated in 66,607 consecutively screened Danish women with flavorized Siemens views and 25,706 Dutch women with Hologic-processed views. Performances were evaluated for interval cancers (IC) within 2 years from screening and long-term cancers (LTC) from 2 years after screening. The texture model was combined with established risk factors to flag 10% of women with the highest risk.ResultsIn Danish women, the texture model achieved an area under the receiver operating characteristic curve (AUC) of 0.71 and 0.65 for ICs and LTCs, respectively. In Dutch women with Hologic-processed views, the AUCs were not different from AUCs in Danish women with flavorized views. The AUC for texture combined with established risk factors increased to 0.68 for LTCs. The 10% of women flagged as high-risk accounted for 25.5% of ICs and 24.8% of LTCs.ConclusionsThe texture model robustly estimated long-term breast cancer risk while adapting to an unseen processed vendor-domain and identified a clinically relevant high-risk subgroup.
Investigating SHA and Proposing SPHINCS+ as a Post Quantum Algorithm (PQC)

Abstract: In the swiftly evolving landscape of cryptography, the advent of quantum computing poses unprecedented challenges to the established security paradigms. This research embarks on an extensive exploration into the resilience of the SHA-256 hashing algorithm, a linchpin of contemporary cryptographic infrastructure, against the looming threat posed by quantum computers. Our principal aim is to comprehensively assess the susceptibility of SHA-256, especially within the context of its critical role in ensuring the security and immutability of the Bitcoin blockchain. As quantum computing's potential to break classical cryptographic systems becomes a tangible concern, this research proposes SPHINCS+ as a potent post-quantum alternative, capable of safeguarding digital transactions and communications in the quantum era. By delving deep into the inner workings of both SHA-256 and SPHINCS+, this research contributes significantly to the expanding knowledge base surrounding post-quantum cryptography and its implications for securing the digital landscape
The Issue of the Educational Presence of Teachers at School

RESEARCH OBJECTIVE: The objective of the article was to justify the necessity of high-quality pedagogical interactions in school according to teachers and students.&#x0D; THE RESEARCH PROBLEM AND METHODS: The following issue was analyzed: what are the procedures shaping the pedagogical presence of teachers at school? Analytical method and critical review were used as the source materials are the basis for research.&#x0D; THE PROCESS OF ARGUMENTATION: The article outlined the role of three categories (relation, pedagogical tact, meeting) in the construction of teachers’ pedagogical presence.&#x0D; RESEARCH RESULTS: Teachers’ pedagogical presence must consist of teachers’ interest in the causes of children and youth problems. This is proprietary conceptualization.&#x0D; CONCLUSIONS, INNOVATIONS, REKOMMENDATIONS: The undertaken issue requires additional theoretical analysis and formulation of empirical studies structure.
The Relationship Between the Harmonious Passion Development and the Human Integral Development: Educational Perspective in Brief

RESEARCH OBJECTIVE: The scientific aim of the article is to learn the relationship between the integral human development and the development of harmonious passion (HP) and the human integral development and upbringing.&#x0D; THE RESEARCH PROBLEM AND METHODS: The research problem of the conducted research is contained in the question: What is the relationship between harmonious passion with the integral development of the educational entity. Answering this question enables the use of the hermeneutic method exploring the meaning of this phenomenological relationship.&#x0D; THE PROCESS OF ARGUMENTATION: The research process is epistemological in nature. It refers to the dualistic model of passion, particularly to the harmonious passion, and the integral human development. Noticing the correlation between the above-mentioned aspects can be a significant challenge for the teachers and students with their passionate attitude, discovering and forming their own identity.&#x0D; RESEARCH RESULTS: The analysis of the collected material indicated the importance of the development of a harmonious passion for the integral development of educational entities in the space of biological, psychological, social, cultural and spiritual life, and the formation of an autonomous identity.&#x0D; CONCLUSIONS, INNOVATIONS, AND RECOMMENDATIONS: Theoretical research in the abovementioned area can draw the educators’ attention to the harmonious passion seen in a multidimensional perspective, reflected in the educational activity, what needs revising and updating educational programs that stimulate the actualization of creative potential of educational entities. This can be used to get to know oneself, others and the world more deeply on the path of autonomous self-becoming.
Electric Vehicle Sales-Prediction Application Using Backpropagation Algorithm Based on Web

The accuracy of predicting future product sales is needed to minimize losses and gain profits. Inventory of goods carried out manually or improper product inventory planning causes the number of goods to accumulate due to the small number of requests, so the goods are damaged. Therefore, a sales prediction system with high accuracy is needed to assist in stocking electric vehicles. This research aimed to predict electric vehicle sales using the web-based backpropagation method. This study uses the backpropagation method to predict electric vehicle sales data from 2015 to 2022. The data is divided into 84 instances as training data and 12 instances as testing data. The result of this study was that the backpropagation method obtained a MAPE error rate of 6.25%. Thus, the backpropagation method can be used for predicting electric vehicle sales because it has a very accurate performance level.
Meningkatkan Prestasi Belajar Bahasa Inggris Melalui Pembelajaran Kooperatif Model Team Game Tournament (TGT) Pada Siswa Kelas XI IPA 1 SMA Negeri 1 Malaka Barat Tahun Pelajaran 2022/2023

The purpose of this study is to improve students' linguistic abilities in English through the Team Game Tournament (TGT) methodology. The driving force behind this inquiry stems from the less-than-ideal level of English proficiency detected among the eleventh graders of the science program at SMA Negeri 1 Malaka Barat throughout the 2022/2023 academic year. The study group consisted of 31 students enrolled in the grade eleven science program, part one. It is reasonable to assume that certain obstacles can be seen in efforts to increase linguistic talent, among them the utilization of linguistic competence for the purpose of social interaction and participation in recreational activities. The aim of this investigation is to evaluate the effectiveness of the fundamental approach used on the TGT platform with respect to students' linguistic proficiency in English. The aim of the inquiry was to evaluate the configuration of students enrolled in the Teams-Games-Tournament (TGT) curriculum. Utilization of multiple choice questions serves as a data collection method in the realm of the eleventh grade English course, especially with regard to Personal Correspondence subject matter. Initial and successive iteration of evaluations have the potential to provide in-depth discernment while scrutinizing student progress. The scientific findings from the student experiment showed a noteworthy increase from cycle I to cycle II, with a sizable jump from 58.06% to 93.55%. Empirical evidence suggests that involvement in TGT may have the capacity to enhance one's personal aptitude for understanding English. Eleventh graders of Science 1 SMA Negeri 1 West Malaka have succeeded in carrying out an innovative approach to English mastery pedagogy that is in line with the prescribed protocol.
THE IMPLEMENTATION OF STORYTELLING TECHNIQUE IN SPEAKING SKILL FOR ISLAMIC SENIOR HIGH SCHOOL STUDENTS

This study aimed to describe the implementation of storytelling on students' speaking skills. The method used in this study is qualitative descriptive, with the object of a teacher and students of class X MA Assalam Senior High School. The Instruments of this study are observation and interview. The researcher used observation and interviews with the teacher to collect the data to answer the first research questions. The researcher also interviewed the teacher to get additional information. Then, the researcher conducted the interview with five students to answer the second research question. The findings of the observations and interviews are almost the same as the step in Jianing's methods, such as choosing the content, separating students into various groups, evaluating the student's performance, and delivering them some feedback at the end of the meeting. The teacher explained that applying storytelling technique in teaching speaking makes students more interested in learning English because they learn about descriptive text. Moreover, the storytelling technique is positively received by most students. The interview with five students showed that students actively participated during teaching activities. It could be concluded that storytelling techniques improved students' vocabulary, confidence, and enjoyment of studying English.
COMPARATIVE ANALYSIS OF MODELS FOR SOLAR STATION OUTPUT PREDICTION

This research paper explores the prediction of solar energy radiation using various machine learning methods and neural networks. The results are presented based on the analysis of four different datasets obtained from solar stations. The study begins with an overview of solar energy in the context of contemporary challenges in the fields of energy and environmental sustainability, and reviews previous research related to the application of artificial intelligence in solar energy. The main contribution of the work lies in the analysis and comparison of diverse machine learning models and neural networks for predicting solar energy radiation. The results are compared considering accuracy metrics (RMSE - Root Mean Squared Error, MAE - Mean Absolute Error, MRE - Mean Relative Error) and execution times for each model. Each model is evaluated on four datasets with different characteristics.
INFO3333 GROUP ASSIGNMENT Group 61 (Prac 13 Tue 3pm CC)

This literature review will analyse, examine, and confirm all the information included in the literature from 2013 to 2021 is recent, relevant, and correct. Our project, classroom AR integration, aims to allow remote students to join the class through VR imaging and to project the remote students into the classroom as in-campus students through AR. The main objective is to enable two modes (online and on-campus) of teaching to work generally as conventional, allowing diverse and flexible learning styles.
DEVELOPING YOUTUBE VIDEO-BASED LEARNING MATERIAL FOR TOURISM STUDY PROGRAM AT GUNADARMA UNIVERSITY

YouTube as one of the most popular inventions on the internet, could be used as a teaching and learning medium, such as studying English for specific purposes, in this example for the tourism study program. The study aimed to create video-based English teaching material for Gunadarma University's tourism students, as well as to collect feedbacks from students. The study employed a mixed-method approach and the R&amp;D method developed by Borg and Gall in this study for creating a teaching and learning video. This study developed English teaching materials in video format that were uploaded on YouTube. The video learning material was reviewed by media and content experts, as well as 30 tourism students in academic year 2020/2021. The result has shown for display quality by experts was 86,00 % satisfactorily, media quality was 81,33% and for lesson quality was 85,45% respectively. Meanwhile the result from students showed for display quality was 86,25% and for material presentation was 92,88%. Among display quality and content presentation in students’ survey, the highest percentage score was content presentation which received 92,88% satisfactorily. In conclusion, the video learning material was considered interesting and helpful for learning English for tourism students.
Banach Space Valued Ordinary and Fractional Neural Network Approximation Based on q-Deformed and $$\lambda $$-Parametrized A-Generalized Logistic Function

Here we research the univariate quantitative approximation, ordinary and fractional, of Banach space valued continuous functions on a compact interval or all the real line by quasi-interpolation Banach space valued neural network operators. These approximations are derived by establishing Jackson type inequalities involving the modulus of continuity of the engaged function or its Banach space valued high order derivative of fractional derivatives. Our operators are defined by using a density function generated by a q-deformed and $$\lambda $$ -parametrized A-generalized logistic function, which is a sigmoid function. The approximations are pointwise and of the uniform norm. The related Banach space valued feed-forward neural networks are with one hidden layer.
Banach Space Valued Ordinary and Fractional Neural Networks Approximations Based on the Parametrized Gudermannian Function

Here we examine the univariate quantitative approximation, ordinary and fractional, of Banach space valued continuous functions on a compact interval or all the real line by quasi-interpolation Banach space valued neural network operators. These approximations are derived by establishing Jackson type inequalities involving the modulus of continuity of the engaged function or its Banach space valued high order derivative or fractional derivatives.
Dual-axis Solar Energy Tracking and Monitoring System with Arduino as a Microcontroller

As an inexhaustible and non-polluting energy source of the future, solar energy is improving to meet the world's ever-increasing energy demands. In this project, the solar panel is made movable to absorb energy in different directions based on the direction of the sun to maximize the amount of energy generated by solar photovoltaic system. Four Light Dependent Resistors (LDRs), a voltage sensor and a set of humidity and temperature sensor are acting as inputs. Meanwhile, two servo motor outputs are placed in the horizontal and vertical axes to maximize power absorption by orienting the PV panel towards the varying sun directions. The Arduino Mega2560 was used as the microcontroller that controls the inputs to make sure the outputs are operating as required. Apart from the servo motors, another important feature of the project includes the monitoring unit for the system which comprises of the LCD display and Microsoft Excel Data Streamer.
Exploring Immersive Reality: Case Studies From a North American University

Higher education institutions are increasingly utilizing immersive technology to support interdisciplinary research, teaching, and student development. For instance, Arizona State and Pennsylvania State have established virtual reality (VR) spaces on their campuses to support interdisciplinary research, the integration of VR into teaching, and VR development spaces for students. These spaces provide opportunities for students, faculty,
Students' Perceptions Toward Blended Media In EFL Reading Practices

Engaging students in EFL reading lessons in a large class is always a challenge for teachers. Thus, blended learning removes barriers and expands educational opportunities. The study is conducted on the concept of blended learning, which combines paper-based text with the digital game-based response system, namely Kahoot, for EFL reading context. The purpose of this study is to investigate how students perceive blended media in EFL reading practices. The participants were 76 pupils from a vocational high school. The data were gathered through observation, questionnaire, and interview. The data were quantitatively and qualitatively analyzed. The results indicated that the majority of students had favorable attitudes toward blended media in EFL reading practices. It influences their engagement, motivation, and attitudes. Additional investigation is advised to ascertain the influence on their performance in reading skills