Reviewerly/exHarmony huggingface dataset:
Children Facing Earthquakes in Mexico City: An Educational Strategy to Promote Prevention Awareness

Mexico is a country with high seismic activity, and its capital, Mexico City, is considered especially vulnerable due to its geographical characteristics, urbanization and dense population. In this context, risk awareness coupled with education focused on emergency and prevention management is key in minimizing the negative effects of such disasters. Increasing seismic preparation in the Mexican population requires disseminating solid theoretical knowledge in addition to actionable and practical recommendations, i.e. life-saving action protocols, as early as childhood. We focus on an educational strategy co-designed with children, through an agile development process, to promote preparedness via a meaningful communication system that is relevant and efficient. Our contribution is two-fold, namely: a workshop involving children, teachers, and emergency staff to encourage interest in risk prevention during earthquakes; and an autonomous and self-managing workshop manual that allows an iterative improvement each time it is performed as required by everyone involved.
Differential Private (Random) Decision Tree Without Adding Noise

The decision tree is a typical algorithm in machine learning and has multiple expanded variations. However, regarding privacy, few in the variations reached practical level due to many challenges on balancing privacy preservation and performance. In this paper, we propose a method of applying privacy preservation to the (random) decision tree, which is a variation of the expanded decision tree proposed by Fan et al. in 2003, to achieve the following goals:
Increasing Student Competency Through Catia V5 Software Training

The current era demands that all aspects of engineering be carried out automatically, including creating technical drawings, which were previously done manually, now being replaced with drawings using CAD (Computer Aided Design) software, which offers automatic drawings. This problem impacts the industrial world, which requires skilled workers in the field of design. In the manufacturing industry, Catia V5 is widely used in product designs because it is faster and easier to use than paper and drawing tools. This Catia V5 Software training aims to improve students' 2D and 3D drawing abilities. This activity was done online in 6 meetings via the Zoom Meeting application. The impact of the success of this program is in the form of increasing students' knowledge and understanding of 2D and 3D sketching via Catia V5 and being able to operate the features of Catia V5.
The role of perceived organisational support and leader humor in participative leadership and innovative work behaviour in small firms

The objective of this study was to investigate the impact of participatory leadership on the work behaviour of employees in small enterprises, specifically focusing on their level of innovation. Furthermore, the present study sought to examine the mediating effect of perceived organizational support and the moderating effect of leader humor. The study utilized a quantitative research design. The researchers utilized a cross-sectional survey methodology in order to collect data. The study utilized a non-probability sampling methodology. Small-scale business employees made up the study's participants. The hypotheses of the study were tested using the Partial Least Square Structural Equation modelling (PLS SEM). The findings indicated that participative leadership is positively related to employee IWB. The mediating effect of perceived organizational support in the relationship between participative leadership and innovative work behaviour is significant. The study's theoretical implication is around the development of a model that illustrates the impact of perceived organizational support and leader humor on the connection between participative leadership and employee innovative work behaviour. The study's findings contribute to the comprehension of the various aspects that can impact the association between participatory leadership and innovative work behaviour exhibited by employees. Practical implications include the attendance of training on leadership and innovation by owners/managers and employees of small firms.
Fault Tolerance Conceptual Strategy for a Quadcopter Drone with Rotor Failure

The ability of a quadcopter drone to maintain its attitude relies solely on its four rotors. If even one motor fails, the drone loses its ability to hold attitude and altitude. This paper explores a new fault tolerance solution to enhance attitude control for quadcopter drones following the complete loss of a single rotor. By following the fundamental principle of balancing forces and moments on a quadrotor drone, the paper demonstrates that it is feasible to land the drone safely by minimizing roll, pitch, and yaw when a rotor fails. The concept centers around thrust vectoring, which allows an opposite motor to tilt independently. The results indicate that tilting the opposite rotor by 45o provides better management of the drone’s roll, pitch, and yaw, enabling the incapacitated drone to land in a more controlled and manageable manner. The paper includes simulation results and a summary table of the novel idea’s performance enhancements.
Examining the Effect of Textual Enhancement on the Students’ Grammar Achievement

This recent research was conducted to examine the effectiveness of textual enhancement on the students’ grammar achievement, in this case passive voice. Two kinds of instruction were implemented to two groups. The first instruction was enhanced instruction which consisted of textual enhancement and rule explanation, and the other instruction was explicit only instruction which consisted of rule explanation only. The study used quasi-experimental research design. A test was used in the pre-test and post-test to get the students’ score as the main data to be compared. From the result of the test analysis, finding shows that textual enhancement contributed a significant effect on the students’ passive voice achievement. Moreover, from the result of the questionnaire as the supporting instrument, the textual enhancement was more effective to be implemented to those which were considered as the low achievers than those considered as the high achievers. The students were more aware, focus, and easier in recognizing the pattern of passive voice.
Overcoming Speaking Barrier

English as a communication has a big role for EFL students. English debate as subject preparation for following national competition among national universities. It provides a challenging to be a good critical speaker. This study was purposed to prove the effectiveness of Debate class implementation as the solving problems of low English Speaking skills. A qualitative research method was implemented by using triangulation as the instrument. The speaking barrier would be the dominant focus that invite more analysis. The research finding showed that there are some speaking barrier owned by students, namely anxiety, articulation, pronunciation, elaborating ideas, vocabulary. The students need a good English speaking competency and convey many ideas in their argument critically. Some phenomenon occurs during the learning process include the confidence and anxiety, vocabulary chosen and also the appropriate statement used in building the argument. The challenge derived the researcher to identify a further research which focus on the tendency found in the learning phenomenon. It answered the curiosity about some problems appear in conveying the argument during the debate chamber.
The Tutor's Strategies in Speaking Class to TEYL in 'Fun English Course'

This research aimed to find out what kind of the strategies that tutor used in speaking class to TEYL and to know students’ attitude toward the implementation of the strategies. The researcher used mixed method by analyzing the data that has been collected from 3 research instruments, which were observation, interview, and questionnaire. This subject of the research consists of an English tutor and 6 students of the fifth grades in Fun English Course. The research findings revealed that the tutor used four types of strategies in the speaking class, as outlined by Thornbury (2005), those strategies are (1) Cooperative Activities, (2) Creative Task, (3) Role-play and Simulations, and (4) Drilling. Regarding the students' attitudes towards the tutor's implementation of these strategies, based on Wenden’s (1991) classification of attitudes into cognitive, affective, and behavioural components, the results of each component indicated a positive level in students’ attitude with an average score of 4.50. This suggests that the tutor’ strategies was successful in fostering a positive attitude among the students, which makes students feel comfortable when they are learning, improving their pronunciation and make them more confident to speaking English in front of the class, especially during speaking class sessions.
The Effect of Using Cake and ELSA Speak Application on Students’ Pronunciation Skills at the Eighth Grade of SMP Negeri 25 Medan

The CAKE application is an English learning application that functions to increase student learning activities in the field of English. Meanwhile, ELSA Speak, an 'Education Tech' startup based in Silicon Valley, United States, uses speech recognition technology and Artificial Intelligence to help students improve their English-speaking skills. The objective of this research is to determine the effect of using CAKE and ELSA Speak on students’ pronunciation skills in the eighth grade at SMP Negeri 25 Medan. The method used in this research is quantitative approach with data collection stages, namely pre-test and post-test, and then the data that has been obtained is analyzed using the SPSS application. Based on the data analysis, the researcher found that the iELSA iSpeak iApplication can improve students’ pronunciation skills. This research shows that there are several problems experienced by junior high school students in learning pronunciation skills. Therefore, this research aims to describe the problem of speaking ability in junior high school and the students'' learning difficulties in current pronunciation skills. As a result of the pre-test and post-test, the mean scores, which were given, were i64,83 and i91,38. The students who were taught using CAKE and ELSA iSpeak and the students who were taught using the traditional method exhibited significantly different levels of achievement. The statistics also revealed that students believed that pronunciation could be improved by using instructional material. The majority of them also mentioned that they included educational media into their regular discourse.
Improve The Numeracy Skills of Fifth-Grade Students Through Self-Efficacy in Elementary Schools

Numerical ability is the basis for students in working on solving math problems and is one of the indicators for assessing the Minimum Competency Assessment. Based on the PISA results released by the OECD, Indonesia's numeracy literacy level was ranked 74th out of 79 countries, this shows that Indonesia's numeracy literacy level is still very low. This study aims to analyze the numeracy skills of fifth-grade students through self-efficacy in elementary schools. The type of research used is causal-comparative research, also known as ex-post facto research with a quantitative approach. Respondents in this study were 32 grade 5 students. The research instruments used were self-efficacy questionnaires, and numeracy skills test questions. Data analysis in this study used descriptive and inferential statistics in simple linear regression analysis. The research results show that students' self-efficacy can significantly improve their numeracy skills. Students' numeracy skills are influenced by student self-efficacy by 51.2%. Meanwhile, 48.8% is influenced by other factors besides self-efficacy. The results of this study also show that the better the students' self-efficacy, the better their numeracy literacy skills will be.
Seroid E-Module on Electrical Material on Learning Outcomes of Class VI Elementary School Students

The available learning media still need to be improved and still limited in the learning process, especially in science subjects, because they only use textbooks and occasionally do simple practices. This study aimed to prove the effectiveness of the Serli E-Module based on Android (Seroid E-Module) on electricity subject to the learning outcomes of sixth-grade elementary school students. This research is conducted in two groups: the experimental group and the control group. The research design used in this study was the control group pre-test and post-test design. The subjects in this study were 35 students of sixth-grade elementary school. The instrument used is a test instrument, namely multiple choice questions tested for validity and reliability. Data analysis used the conditional test, namely the normality and homogeneity tests, and hypothesis testing using the paired sample t-test assisted by SPSS For Windows 25. The results of this study show that the use of Seroid E-Modules in electricity material is effectively used on student learning outcomes. So, it can be concluded that the Seroid E-Module on electricity material can be used to improve the learning outcomes of class VI elementary school students.
IMPROVING UNDERBONE MOTORCYLES IGNITION SYSTEM USING CDI PROGRAMMED BY CAMSHAFT DURATION ON A 4-STEP 125 CC MOTOR

This study aims to determine the engine performance characteristics of underbone motorcycles using Genuine CDI and CDI programmable, as well as the differences in engine performance characteristics of underbone motorcycles using Genuine CDI and CDI programmable.&#x0D; The investigation employed an experimental methodology. The subject of the research was a 125cc, 1-cylinder underbone motorcycles. The apparatus utilized for measuring power was a dynotest underbone motorcycles. Experiments conducted with underbone motorcycles in its standard factory configuration (no modifications).&#x0D; The results indicated that (1) Underbone motorcycles equipped with Genuine CDI produce the most power at 6542 RPM and the most torque at 5085 RPM. While the RPM after it was replaced with Programmable CDI was 8.2 at 6556 RPM with 10.33 lb-ft of torque at 4670 RPM, the maximum power was 8.2 at 6556 RPM. (2) There was a performance difference between Genuine CDI and CDI Programmable. 8,2 HP is the maximum power obtained in nearly all Programmable CDI variantion. By advancing the Programmable CDI Timing by 2 degrees, the maximum torque of 10,33Nm was obtained at 4,670 RPM.&#x0D; &#x0D;
Application of logical modeling for the analysis and classification of medical data for the purpose of diagnosis.

The subject of the research is a logical approach to data analysis and the development of software tools capable of identifying hidden patterns, even with a limited amount of data. The input data consists of indicators of the diagnosis of patients, their diagnoses and the experience of doctors obtained in the course of medical practice. The research method is the development of software tools based on systems of multivalued predicate logic for the analysis of patient data. This approach considers the source data as a set of general rules, among which it is possible to distinguish those rules that are sufficient to explain all the observed data. These rules, in turn, are generative for the area under consideration and help to better understand the nature of the objects under study. The novelty of the study lies in the use of multivalued logic to analyze a limited amount of medical data of patients in order to determine the most likely diagnosis with a given accuracy. The proposed approach makes it possible to detect hidden patterns in the symptoms and results of patient examinations, classify them and identify unique signs of various forms of gastritis. Unlike neural networks, logical analysis is transparent and does not require training on large amounts of data. The conclusions of the study show the possibility of such an approach for diagnosis with a lack of information, as well as the offer of alternatives if the required accuracy of diagnosis is not achieved.
Application of Huang Yanpei's Teaching Concept of Vocational Education in Vocational Colleges in Hotan

As the founder of modern vocational education in China, Mr. Huang Yanpei's vocational education thought has rich connotation, great significance and strong value of the times. Huang Yanpei's teaching concept of vocational education originated from the backward social concept at that time, deeply inspired by the practice of vocational education and pragmatic educational thought, advocated the teaching principle of "using both hands and brains, doing and learning in one", socialized school-running mode, prominent practical teaching methods, and upheld the supreme pursuit of dedication, patriotism and dedication. Based on the reality of vocational colleges in Hotan, this paper expounds the application enlightenment of Huang Yanpei's vocational education teaching concept in vocational colleges in Hotan.
Exploration on the Matching Degree of Intelligent Digital Education in the Demand for Skilled Talents and the Training of Talents in Vocational Colleges

China has established the world's largest vocational education system, and has a huge ability to cultivate skilled personnel. Skilled talents and vocational college talents are precious resources of the country and need to be highly valued by the country. However, due to insufficient total talents, filling the shortage of talents is a top priority in the critical period of the development of socialism with Chinese characteristics. This paper analyzed the matching degree of intelligent digital education in the demand for skilled talents and the training of talents in vocational colleges, which aimed to explore how the use of intelligent digital education can improve the skill level of skilled talents and talents in vocational colleges. In this experiment, five students from the College of Mechanical and Electrical Engineering were selected as the experimental objects, and their operation scores before and after receiving intelligent digital education were compared. The experimental results showed that the average score of each operation of the first selected student after receiving intelligent digital education increased by 9 points, and the average score of each operation of the second selected student after receiving intelligent digital education increased by 15 points; the average score of each operation of the third selected student after receiving intelligent digital education increased by 12 points, and the average score of each operation of the fourth selected student after receiving intelligent digital education increased by 9 points. It can be seen that intelligent digital education is really helpful for the training of skilled talents and vocational colleges.
Research on the Professional Development of Rural Primary School Teachers: Current Situation, Reasons, and Countermeasures

Since the 18th National Congress of the Communist Party of China, rural education has made significant progress. The conditions for running rural schools have significantly improved, and the professional development level of rural teachers continues to improve. All of this is thanks to the policy support and financial investment of the Party Central Committee and the State Council for rural schools. However, through research, it has been found that although the professional development level of rural primary school teachers is constantly improving, there is still a significant gap in the professional development level of urban and rural teachers. The specific reasons are: rural primary school teachers have weak awareness of professional development and insufficient abilities; Insufficient policy support from the government and education administrative departments; Rural primary schools do not attach enough importance to the professional development of teachers. In response to this, rural teachers should enhance their awareness of independent professional development and enhance their professional literacy; Establish a lifelong learning concept and cultivate learning abilities. The government and education administrative departments should increase policy and financial support for rural schools. Rural schools should attach importance to the professional development of teachers and carry out various teaching and research activities.
Analysis on the Optimization Path for the Application of Central Bank Digital Currencies in Cross Border Payment

In the era of great development and transformation in the digital economy, the Central Bank Digital Currency (CBDC) has received attention from various countries. Various countries have gradually increased their research and development efforts in CBDC, striving to explore more application directions of CBDC. Especially in the context of economic globalization, with the further increase in financial demand between different regions and countries, cross-border trade exchanges between countries have become increasingly close, and cross-border payments have become an important exploration direction for central bank digital currencies. Based on this, this paper first analyzes the advantages of CBDC application in cross-border payments, and provides a detailed analysis of the potential challenges of CBDC application in cross-border payments. Finally, the paper proposes practical and effective optimization paths for CBDC application in cross-border payments.
The Construction of digital RMB guarantee rule system realized by smart contract

The guarantee rule system of digital RMB is a system that needs to be continuously improved. Its core is to establish the legal status and guarantee rules of digital RMB. Based on the research of the existing guarantee rule system, on the basis of drawing lessons from the existing blockchain technology and intelligent contract technology, this paper puts forward the idea of using intelligent contract to assist in the construction of digital RMB guarantee rule system. By embedding smart contracts in the whole process of digital RMB issuance, circulation and destruction, we can provide more enforceable guarantees for digital RMB, and gradually establish a digital RMB guarantee rule system that is compatible with China's current legal system and meets the needs of China's financial innovation.
Multimodal Sentiment Analysis Data Sets and Preprocessing

This chapter emphasizes the importance of standard datasets in multimodal sentiment analysis. Deep learning algorithms have significantly improved the performance of multimodal sentiment analysis, making it a popular method for data analysis and prediction across various domains. High-quality manually annotated data helps researchers focus on algorithm development. Recent advancements in deep learning-based multimodal sentiment analysis are attributed to the contribution of datasets. This chapter provides an overview of publicly available multimodal sentiment analysis datasets, with a focus on those containing text, audio, and video modalities. It introduces CH-SIMS, a new Chinese dataset that includes multimodal and single-modal annotations for detailed and comprehensive analysis. This chapter also presents a multimodal multitask learning framework based on SIMS, which enhances performance by sharing feature representations and employing fusion models. The limitations of existing corpora are discussed, leading to the construction of CH-SIMS v2.0, a high-quality dataset with supervised and unsupervised data, simulating real-world human-computer interaction scenarios. This dataset enables improved acoustic and visual representation learning, as well as fine-grained emotion intensity prediction, enhancing the accuracy and effectiveness of multimodal sentiment analysis.